Wei Chen

Principal Researcher

Publications

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- Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation
  
  Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C.S. Lui, Wei Chen, Carlee Joe-Wong
  
  IEEE International Conference on Computer Communications (INFOCOM) | May 2026
  
  PDF Preprint
- Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
  
  Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen
  
  ICLR 2026 | April 2026
  
  PDF Preprint
- Combinatorial Rising Bandits
  
  Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  ICLR 2026 | April 2026
  
  PDF Preprint
- Latent-DARM: Bridging Discrete Diffusion and Autoregressive Models for Reasoning
  
  Lina Berrayana, Ahmed Heakl, Muhammad Abdullah Sohail, Thomas Hofmann, Salman Khan, Wei Chen
  
  Proceedings of Workshop on Latent & Implicit Thinking – Going Beyond CoT Reasoning (LIT), the 14th International Conference on Learning Representations (ICLR) | April 2026
  
  PDF Preprint
- SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits
  
  Edward Lin, Sahil Modi, S. Hari, Qijing Huang, Zhifan Ye, N. Qin, Fengzhe Zhou, Yuan Zhang, Jingquan Wang, S. Damani, Dheeraj Peri, Ouye Xie, Aditya Kane, Moshe Maor, M. Behar, Triston Cao, Rishabh Mehta, Vartika Singh, Vikram Sharma Mailthody, Te-Wei Chen, Zihao Ye, Hanfeng Chen, Tianqi Chen, Vinod Grover, Wei Chen, Wei Liu, Eric Chung, L. Ceze, Roger A. Bringmann, C. Zeller, M.F. Lightstone, Christos Kozyrakis, Humphrey Shi
  
  March 2026
  
  Publication
- Hybrid Combinatorial Multi-armed Bandits with Probabilistically Triggered Arms
  
  Kongchang Zhou, Tingyu Zhang, Wei Chen, Fang Kong
  
  December 2025
  
  Publication
- Mechanism Design for LLM Fine-tuning with Multiple Reward Models
  
  Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng
  
  Neural Information Processing Systems (NeurIPS) 2025 | December 2025
  
  PDF
- Multi-Play Combinatorial Semi-Bandit Problem
  
  Shintaro Nakamura, Yuko Kuroki, Wei Chen, Wei Chen
  
  September 2025
  
  Publication
- Offline Learning for Combinatorial Multi-armed Bandits
  
  Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025
  
  PDF
- A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator
  
  Xiaobin Rui, Zhixiao Wang, Hao Peng, Wei Chen, Philip S. Yu
  
  IEEE Transactions on Knowledge and Data Engineering (TKDE) | May 2025
  
  PDF
- Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
  
  Tianchi Xie, Jiangning Zhu, Guozu Ma, Minzhi Lin, Wei Chen, Weikai Yang, Shixia Liu
  
  Proceedings of the 13th International Conference on Learning Representations (ICLR) | April 2025
  
  PDF
- ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
  
  Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- Can Graph Learning Improve Task Planning?
  
  Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- Combinatorial Causal Bandits without Graph Skeleton
  
  Shi Feng, Nuoya Xiong, Wei Chen
  
  Proceedings of the 16th Asian Conference on Machine Learning (ACML) | December 2024
  
  PDF
- Convergence to Equilibrium of No-regret Dynamics in Congestion Games
  
  Volkan Cevher, Wei Chen, Leello Dadi, Jing Dong, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Baoxiang Wang, Siwei Wang, Jingyu Wu
  
  Conference on Web and Internet Economics (WINE) | December 2024
  
  PDF Publication
- Query-Efficient Correlation Clustering with Noisy Oracle
  
  Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen
  
  NeurIPS 2024 | December 2024
  
  PDF DOI
- Uncovering Milestone Papers: A Network Diffusion and Game Theory Approach
  
  Wei Zhang, Juyang Cao, Manuel Sebastian Mariani, Zhen-Zhen Wang, Mingyang Zhou, Wei Chen, Hao Liao
  
  Journal of Informetrics | August 2024, Vol 18(3)
  
  Publication
- Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
  
  Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen
  
  Proceedings of the 41st International Conference on Machine Learning (ICML) | July 2024
  
  PDF
- Cascading Reinforcement Learning
  
  Yihan Du, R. Srikant, Wei Chen
  
  Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024
  
  PDF
- Combinatorial Bandits for Maximum Value Reward Function under Value-index Feedback
  
  Yiliu Wang, Wei Chen, Milan Vojnovic
  
  Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024
  
  PDF
- Multi-Fidelity Multi-Armed Bandits Revisited
  
  Xuchuang Wang, Qingyun Wu, Wei Chen, John C.S. Lui
  
  Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS) | December 2023
  
  PDF Preprint
- Scalable Fair Influence Maximization
  
  Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen
  
  Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS) | December 2023
  
  PDF Preprint
- Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
  
  Zongqi Wan, Jialin Zhang, Wei Chen, Xiaoming Sun, Zhijie Zhang
  
  Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
  
  PDF Preprint
- Contextual Combinatorial Bandits with Probabilistically Triggered Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
  
  Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
  
  PDF Preprint
- Mitigating Filter Bubbles Under a Competitive Diffusion Model
  
  Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
  
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023
  
  PDF
- Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation
  
  Hao Liao, Sheng Bi, Jiao Wu, Wei Zhang, Mingyang Zhou, Rui Mao, Wei Chen
  
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023
  
  PDF
- Collaborative Pure Exploration in Kernel Bandit
  
  Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang
  
  Proceedings of the 11th International Conference on Learning Representations (ICLR) | May 2023
  
  PDF
- Combinatorial Pure Exploration of Causal Bandits
  
  Nuoya Xiong, Wei Chen
  
  Proceedings of the 11th International Conference on Learning Representations (ICLR) | May 2023
  
  PDF
- Combinatorial Causal Bandits
  
  Shi Feng, Wei Chen
  
  Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI) | February 2023
  
  PDF Preprint
- Scalable Adversarial Attack Algorithms on Influence Maximization
  
  Lichao Sun, Xiaobin Rui, Wei Chen
  
  Proceedings of the 16th ACM International WSDM Conference (WSDM) | February 2023
  
  PDF Preprint
- Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022
  
  PDF
- Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret
  
  Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu
  
  Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022
  
  PDF
- The pure exploration problem with general reward functions depending on full distributions
  
  Siwei Wang, Wei Chen
  
  Machine Learning | July 2022
  
  Publication
- Branching Reinforcement Learning
  
  Yihan Du, Wei Chen
  
  Proceedings of the 39th International Conference on Machine Learning (ICML) | July 2022
  
  PDF Preprint
- Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization
  
  Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao
  
  Journal of Artificial Intelligence Research | May 2022, Vol 74: pp. 303-351
  
  PDF
- Online Competitive Influence Maximization
  
  Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) | March 2022
  
  PDF
- Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback
  
  Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang
  
  Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI) | February 2022
  
  This version fixed some bugs contained in the published version. See footnote in the first page.
  
  PDF
- Higher Order Monotonicity and Submodularity of Influence in Social Networks: From Local to Global
  
  Wei Chen, Qiang Li, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
  
  Information and Computation | January 2022
  
  PDF
- Combinatorial Pure Exploration with Bottleneck Reward Function
  
  Yihan Du, Yuko Kuroki, Wei Chen
  
  Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
  
  PDF Publication
- The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle
  
  Fang Kong, Yueran Yang, Wei Chen, Shuai Li
  
  Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
  
  PDF Publication
- Causal Inference for Influence Propagation — Identifiability of the Independent Cascade Model
  
  Shi Feng, Wei Chen
  
  Proceedings of the 10th International Conference on Computational Social Networks (CSoNet'2021) | November 2021
  
  Winner of the sole Best Paper Award
  
  PDF
- 基于优化反馈的组合在线学习 (Combinatorial Online Learning Based on Optimizing feedbacks）
  
  Fang Kong, Yueran Yang, Wei Chen, Shuai Li
  
  大数据（Big Data Research） | September 2021, Vol 7(5)
  
  PDF
- 基于样本的优化（Optimization from Samples）
  
  Zhijie Zhang, Xiaoming Sun, Jialin Zhang, Wei Chen
  
  大数据（Big Data Research） | September 2021, Vol 7(5): pp. 100-110
  
  PDF
- Maximizing Social Welfare in a Competitive Diffusion Model
  
  Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
  
  VLDB 2021 | August 2021
  
  PDF Publication
- Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning
  
  Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui
  
  2021 International Conference on Machine Learning (ICML) | July 2021
  
  PDF Publication
- Network Inference and Influence Maximization from Samples
  
  Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang
  
  2021 International Conference on Machine Learning (ICML) | July 2021
  
  PDF Publication
- Combinatorial Semi-Bandit in the Non-Stationary Environment
  
  Wei Chen, Liwei Wang, Haoyu Zhao, Kai Zheng
  
  Conference on Uncertainty in Artificial Intelligence (UAI) 2021 | June 2021
  
  PDF Publication
- Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback
  
  Yihan Du, Yuko Kuroki, Wei Chen
  
  Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI) | February 2021
  
  PDF
- Online Influence Maximization under Linear Threshold Model
  
  Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen
  
  Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2020
  
  Some typos in the original NeurIPS'2020 paper have been fixed.
  
  PDF
- Scalable Lattice Influence Maximization
  
  Wei Chen, Ruihan Wu, Zheng Yu
  
  IEEE Transactions on Computational Social Systems | August 2020, Vol 7(4): pp. 956-970
  
  Author's Version
- (Locally) Differentially Private Combinatorial Semi-Bandits
  
  Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang
  
  Proceedings of the 37th International Conference on Machine Learning (ICML) | July 2020
  
  Publication PDF
- Combinatorial Pure Exploration for Dueling Bandits
  
  Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao
  
  Proceedings of the 37th International Conference on Machine Learning (ICML) | July 2020
  
  PDF Author's Version
- Follow the Perturbed Approximate Leader for Solving Semi-bandit Combinatorial Optimization
  
  Feidiao Yang, Wei Chen, Jialin Zhang, Xiaoming Sun
  
  Frontiers in Computer Science | July 2020
  
  PDF
- Optimization from Structured Samples for Coverage Functions
  
  Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang
  
  Proceedings of the 37th International Conference on Machine Learning, (ICML) | July 2020
  
  PDF
- Coreness of cooperative games with truncated submodular profit functions
  
  Wei Chen, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
  
  Theoretical Computer Science | June 2020, Vol 822: pp. 49-60
  
  PDF DOI
- Efficient Approximation Algorithms for Adaptive Influence Maximization
  
  Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim
  
  The VLDB Journal | June 2020
  
  Author's Version Publication
- A Graph-Theoretical Basis of Stochastic-Cascading Network Influence: Characterizations of Influence-Based Centrality
  
  Wei Chen, Shang-Hua Teng, Hanrui Zhang
  
  Theoretical Computer Science | April 2020
  
  PDF
- 大数据网络传播模型和算法 (Network Diffusion Models and Algorithms for Big Data)
  
  Published by 人民邮电出版社 (Post & Telecom Press) | April 2020
  
  ISBN: 978-7-115-52554-3
  
  Publication
- Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization
  
  Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations
  
  Wei Chen, Weizhong Zhang, Haoyu Zhao
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Influence Maximization with Spontaneous User Adoption
  
  Lichao Sun, Albert Chen, Philip S. Yu, Wei Chen
  
  Proceedings of the 13th ACM International WSDM Conference (WSDM) | February 2020
  
  Publication
- Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting
  
  Haoyu Zhao, Wei Chen
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Stochastic Online Learning with Probabilistic Graph Feedback
  
  Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Adaptive Influence Maximization with Myopic Feedback
  
  Binghui Peng, Wei Chen
  
  Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  PDF
- On Adaptivity Gaps of Influence Maximization under the Independent Cascade Model with Full-Adoption Feedback
  
  Wei Chen, Binghui Peng
  
  Proceedings of the 30th International Symposium on Algorithms and Computation (ISAAC'2019) | December 2019
  
  PDF
- Complete Submodularity Characterization in the Comparative Independent Cascade Model
  
  Wei Chen, Hanrui Zhang
  
  Theoretical Computer Science | September 2019, Vol 786(27): pp. 78-87
  
  PDF Publication
- Stochastic One-Sided Full-Information Bandit
  
  Haoyu Zhao, Wei Chen
  
  Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'2019) | September 2019
  
  PDF
- Factorization Bandits for Online Influence Maximization
  
  Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang
  
  Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2019), | August 2019
  
  PDF
- Improved Algorithm on Online Clustering of Bandits
  
  Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung
  
  Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'2019) | August 2019
  
  PDF
- Maximizing Welfare in Social Networks under a Utility Driven Influence Diffusion Model
  
  Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
  
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD'2019) | June 2019
  
  PDF
- Cumulative Activation in Social Networks
  
  Xiaohan Shan, Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang
  
  Science China Information Sciences | May 2019, Vol 62
  
  PDF
- Capturing Complementarity in Set Functions by Going Beyond Submodularity/Subadditivity
  
  Wei Chen, Shang-Hua Teng, Hanrui Zhang
  
  Proceedings of the 10th Innovations in Theoretical Computer Science Conference (ITCS'2019) | January 2019
  
  PDF
- An Issue in the Martingale Analysis of the Influence Maximization Algorithm IMM
  
  Wei Chen
  
  Proceedings of the 7th International Conference on Computational Social Networks (CSoNet'2018) | December 2018
  
  PDF
- Community Exploration: From Offline Optimization to Online Learning
  
  Xiaowei Chen, Weiran Huang, Wei Chen, John C. S. Lui
  
  Proceedings of the 32nd Annual Conference on Neural Information Processing Systems (NeurIPS'2018) | December 2018
  
  PDF
- Coreness of Cooperative Games with Truncated Submodular Profit Functions (2018)
  
  Wei Chen, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
  
  2018 Algorithmic Game Theory | September 2018
  
  DOI Publication
- Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach.
  
  Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen
  
  Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18) | July 2018
  
  Publication
- Thompson Sampling for Combinatorial Semi-Bandits
  
  Siwei Wang, Wei Chen
  
  Proceedings of the 35th International Conference on Machine Learning (ICML'2018) | July 2018
  
  PDF
- Multi-Round Influence Maximization
  
  Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen
  
  Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018), London, United Kingdom, August 2018 | June 2018
  
  PDF
- Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications
  
  Weiran Huang, Jungseul Ok, Liang Li, Wei Chen
  
  Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'2018) | May 2018
  
  PDF
- A Game Theoretic Model for the Formation of Navigable Small-World Networks — the Tradeoff between Distance and Reciprocity
  
  Zhi Yang, Wei Chen
  
  ACM Transactions on Internet Technology | April 2018
  
  PDF
- Boosting Information Spread: An Algorithmic Approach
  
  Yishi Lin, Wei Chen, John C. S. Lui
  
  IEEE Transactions on Computational Social Systems | April 2018, Vol 5(2): pp. 344-357
  
  PDF
- Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications
  
  Qinshi Wang, Wei Chen
  
  Proceedings of the 31st Annual Conference on Advances in Neural Information Processing Systems (NIPS'2017) | September 2017
  
  PDF
- Influence Maximization with epsilon-Almost Submodular Threshold Functions
  
  Qiang Li, Wei Chen, Xiaoming Sun, Jialin Zhang
  
  Proceedings of the 31st Annual Conference on Advances in Neural Information Processing Systems (NIPS'2017) | September 2017
  
  PDF
- Complete Submodularity Characterization in the Comparative Independent Cascade Model
  
  Wei Chen, Hanrui Zhang
  
  In Proceedings of the 11th International Frontiers of Algorithmics Workshop (FAW'2017), Chengdu, China, June, 2017 | May 2017
  
  Publication Publication
- Boosting Information Spread: An Algorithmic Approach
  
  Yishi Lin, Wei Chen, John C. S. Lui
  
  Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE'2017), San Diego, U.S.A., April, 2017 | April 2017
  
  Publication
- Interplay between Social Influence and Network Centrality: A Comparative Study on Shapley Centrality and Single-Node-Influence Centrality
  
  Wei Chen, Shang-Hua Teng
  
  26th International World Wide Web Conference (WWW'2017), Perth, Australia, April, 2017 | April 2017
  
  PDF
- Assessing Percolation Threshold Based on High-Order Non-Backtracking Matrices
  
  Yuan Lin, Wei Chen, Zhongzhi Zhang
  
  26th International World Wide Web Conference (WWW'2017), Perth, Australia, April, 2017 | April 2017
  
  Publication
- Partitioned Sampling of Public Opinions Based on Their Social Dynamics
  
  Weiran Huang, Liang Li, Wei Chen
  
  Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'2017), San Francisco, San Francisco, California, USA, Feb. 2017 | February 2017
  
  Publication Publication
- Combinatorial Multi-Armed Bandit with General Reward Functions
  
  Wei Chen, Wei Hu, Fu Li, Jian Li, Yu Liu, Pinyan Lu
  
  Proceedings of the 30th Annual Conference on Advances in Neural Information Processing Systems (NIPS'2016) | December 2016
  
  PDF
- Robust Influence Maximization
  
  Wei Chen, Tian Lin, Zihan Tan, Mingfei Zhao, Xuren Zhou
  
  In Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2016), San Francisco, U.S.A., August, 2016. | June 2016
  
  Publication Publication
- The Routing of Complex Contagion in Kleinberg’s Small-world Networks
  
  Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang
  
  Proceedings of the 22nd International Computing and Combinatorics Conference (COCOON'2016), Ho Chi Minh City, Vietnam, August, 2016. | June 2016
  
  Proceedings of the 22nd International Computing and Combinatorics Conference (COCOON'2016)
  
  Publication Publication
- Contextual Combinatorial Cascading Bandits
  
  Shuai Li, Baoxiang Wang, Shengyu Zhang, Wei Chen
  
  Proceedings of the 33rd International Conference on Machine Learning (ICML'2016) | June 2016
  
  Publication Publication
- Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms
  
  Wei Chen, Yajun Wang, Yang Yuan, Qinshi Wang
  
  Journal of Machine Learning Research | April 2016, Vol 17: pp. 1-33
  
  Publication
- Learning Market Parameters Using Aggregate Demand Queries
  
  Xiaohui Bei, Wei Chen, Jugal Garg, Martin Hoefer, Xiaoming Sun
  
  Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'2016), Phoenix, U.S.A., February, 2016. | February 2016
  
  Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI’2016)
  
  Publication
- Stochastic Online Greedy Learning with Semi-bandit Feedbacks
  
  Tian Lin, Jian Li, Wei Chen
  
  Proceedings of the 29th Annual Conference on Advances in Neural Information Processing Systems (NIPS'2015) | December 2015
  
  PDF
- From Competition to Complementarity: Comparative Influence Diffusion and Maximization
  
  Wei Lu, Wei Chen, Laks V.S. Lakshmanan
  
  Proceedings of the VLDB Sept., 2016 | November 2015
  
  Publication Publication
- Voter Model on Signed Social Networks
  
  Yanhua Li, Wei Chen, Yajun Wang, Zhi-Li Zhang
  
  Internet Mathematics | November 2015, Vol 11(2): pp. 93-133
  
  A preliminary version appears as "Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships", WSDM'2013.
  
  PDF
- 社交网络影响力传播研究 (Research on influence diffusion in social networks)
  
  Wei Chen
  
  大数据 (Big Data Research) | October 2015, Vol 1
- Real-time Topic-aware Influence Maximization Using Preprocessing
  
  Wei Chen, Tian Lin, Cheng Yang
  
  Computational Social Networks | August 2015, Vol 3(8)
  
  Best paper runner-up award at the 4th International Conference on Computational Social Networks (CSoNet'2015)
  
  Publication Publication Publication
- Combining Traditional Marketing and Viral Marketing with Amphibious Influence Maximization
  
  Wei Chen, Fu Li, Tian Lin, Aviad Rubinstein
  
  In Proceedings of the 16th ACM Conference on Economics and Computation (EC'2015), Portland, OR, U.S.A., June 2015. | June 2015
  
  Publication Publication
- A Game Theoretic Model for the Formation of Navigable Small-world Networks
  
  Zhi Yang, Wei Chen
  
  In Proceedings of the 24th International World Wide Web Conference (WWW'2015), Florence, Italy, May, 2015. | May 2015
  
  ISBN: ACM 978-1-4503-3469-3/15/05.
  
  Publication Publication Publication
- Diffusion of “following” Links in Microblogging Networks
  
  Jing Zhang, Zhanpeng Fang, Wei Chen, Jie Tang
  
  IEEE Transactions on Knowledge and Data Engineering | February 2015, Vol 37(8): pp. 2093
  
  Publication Publication
- Combinatorial Pure Exploration of Multi-Armed Bandits
  
  Shouyuan Chen, Tian Lin, Irwin King, Michael R. Lyu, Wei Chen
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS'2014) | December 2014
  
  The PDF download link contains some bug fixes to the original paper.
  
  PDF
- Minimizing Seed Set Selection with Probabilistic Coverage Guarantee in a Social Network
  
  Peng Zhang, Wei Chen, Xiaoming Sun, Yajun Wang, Jialin Zhang
  
  Proceedings of 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2014) | August 2014
  
  Proceedings of 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2014)
  
  Publication Publication Publication
- Combinatorial Partial Monitoring Game with Linear Feedback and its Applications
  
  Tian Lin, Bruno Abrahao, Robert Kleinberg, John C. S. Lui, Wei Chen
  
  Proceedings of the 31st International Conference on Machine Learning (ICML'2014) | June 2014
  
  Publication Publication
- Prominent Features of Rumor Propagation in Online Social Media
  
  Sejeong Kwon, Meeyoung Cha, Kyomin Jung, Wei Chen, Yajun Wang
  
  In Proceedings of the 13th IEEE International Conference on Data Mining (ICDM'2013), Dallas, Texas, U.S.A., Dec. 2013. | December 2013
  
  Publication
- Information and Influence Propagation in Social Networks
  
  Wei Chen, Laks V.S. Lakshmanan, Carlos Castillo
  
  Published by Morgan & Claypool | October 2013 | Morgan & Claypool Synthesis Lectures on Data Management, Oct. 2013 edition
  
  Morgan & Claypool Synthesis Lectures on Data Management, Oct. 2013
  
  Publication
- On the Hyperbolicity of Small-world and Tree-like Random Graphs
  
  Wei Chen, Wenjie Fang, Guangda Hu, Michael W. Mahoney
  
  Internet Mathematics | September 2013, Vol 9(4)
  
  Extended abstract published in Proceedings of the 23rd International Symposium on Algorithms and Computation (ISAAC'2012), Taipei, December 2012.
  
  PDF Publication
- On the Power of Breakable Objects
  
  Wei Chen, Guangda Hu, Jialin Zhang
  
  Theoretical Computer Science, 503, Sept. 2013. | September 2013
  
  Publication Publication
- Maximizing Acceptance Probability for Active Friending in Online Social Networks
  
  De-Nian Yang, Hui-Ju Hung, Wang-Chien Lee, Wei Chen
  
  In Proceedings of 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2013), Chicago, Illinois, U.S.A., August, 2013. | August 2013
  
  Publication Publication
- Verifying Linearizability via Optimized Refinement Checking
  
  Yang Liu, Wei Chen, Yanhong A. Liu, Jun Sun, Shao Jie Zhang, Jin Song Dong
  
  IEEE Transactions on Software Engineering, 39(7), July 2013. | July 2013
  
  Publication
- Combinatorial Multi-Armed Bandit: General Framework, Results and Applications
  
  Wei Chen, Yajun Wang, Yang Yuan
  
  Proceedings of the 30th International Conference on Machine Learning (ICML'2013) | June 2013
  
  Publication Publication Publication
- Sybil-proof Mechanisms in Query Incentive Networks
  
  Wei Chen, Yajun Wang, Dongxiao Yu, Li Zhang
  
  Proceedings of ACM Conference on Electronic Commerce | June 2013
  
  Publication Publication
- Influence Diffusion Dynamics and Influence Maximization in Social Networks with Friend and Foe Relationships
  
  Yanhua Li, Wei Chen, Yajun Wang, Zhi-Li Zhang
  
  In Proceedings of the 6th International Conference on Web Search and Data Mining (WSDM'2013), Rome, Italy, Feb. 2013. | February 2013
  
  Publication Publication
- IRIE: Scalable and Robust Influence Maximization in Social Networks
  
  Kyomin Jung, Wooram Heo, Wei Chen
  
  In Proceedings of the 12th IEEE International Conference on Data Mining (ICDM'2012), Brussels, Belgium, December, 2012. | December 2012
  
  Winner of the 10-Year Highest-Impact Paper Award at ICDM'2021
  
  PDF
- A Compact Routing Scheme and Approximate Distance Oracle for Power-Law Graphs
  
  Wei Chen, Christian Sommer, Shang-Hua Teng, Yajun Wang
  
  ACM Transactions on Algorithms 9(1): 4 (2012). Extended abstract published in Distributed Computing (DISC), 2009. | September 2012, Vol 9
  
  Publication Publication Publication
- Time-critical Influence Maximization in Social Networks with Time-delayed Diffusion Process
  
  Wei Chen, Wei Lu, Ning Zhang
  
  In Proceedings of the 26th Conference on Artificial Intelligence (AAAI'2012), Toronto, Canada, July 2012. | July 2012
  
  Publication Publication
- Scalable Influence Maximization for Independent Cascade model in Large-scale Social Networks
  
  Chi Wang, Wei Chen, Yajun Wang
  
  Data Mining and Knowledge Discovery Journal | May 2012, Vol 25(3): pp. 545-576
  
  Publication
- Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model
  
  Xinran He, Guojie Song, Wei Chen, Qingye Jiang
  
  In Proceedings of the 12th SIAM International Conference on Data Mining (SDM'2012), Anaheim, CA, U.S.A., April, 2012. | April 2012
  
  Publication Publication
- Optimal Pricing in Social Networks with Incomplete Information
  
  Wei Chen, Pinyan Lu, Xiaorui Sun, Bo Tang, Yajun Wang, Zeyuan Allen Zhu
  
  In Proceedings of the 7th Workshop on Internet and Network Economics (WINE'2011), Singapore, December 2011. | December 2011
  
  Publication Publication
- Bounded Budget Betweenness Centrality Game for Strategic Network Formations
  
  Xiaohui Bei, Wei Chen, Shang-Hua Teng, Jialin Zhang, Jiajie Zhu
  
  Theoretical Computer Science, Vol. 412, Dec. 2011, 7147-7168. Extended abstract published in European Symposium of Algorithms (ESA), 2009. | December 2011, Vol 412: pp. 7147-7168
  
  Publication Publication Publication
- Participation Maximization Based on Social Influence in Online Discussion Forums
  
  Tao Sun, Wei Chen, Yajun Wang, Xiaorui Sun, Chin-Yew Lin, Ming Zhang
  
  Proceedings of the 5th International AAAI Conference on Weblogs and Social Media (ICWSM'2011), Barcelona, Spain, July 2011 | October 2011
  
  Publication Publication
- Relationship Classification in Large Scale OSN and its Impact on Information Propagation
  
  Shaojie Tang, Jing Yuan, Xufei Mao, Xiang-Yang Li, Wei Chen, Guojun Dai
  
  In Proceedings of the 30th IEEE International Conference on Computer Communications (INFOCOM'2011), Shanghai, China, April, 2011. | April 2011
  
  Publication
- Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate
  
  Wei Chen, Alex Collins, Rachel Cummings, Te Ke, Zhenming Liu, David Rincon, Xiaorui Sun, Wei Wei, Yajun Wang, Yifei Yuan
  
  Proceedings of the 11th SIAM International Conference on Data Mining (SDM) | April 2011
  
  PDF Preprint
- Scalable influence maximization in social networks under the linear threshold model
  
  Wei Chen, Yifei Yuan, Li Zhang
  
  Proceedings of the 10th IEEE International Conference on Data Mining (ICDM'2010), Sydney, Australia | December 2010
  
  Publication Publication
- Protector: A Probabilistic Failure Detector for Cost-effective Peer-to-peer Storage
  
  Zhi Yang, Jing Tian, Ben Y. Zhao, Wei Chen, Yafei Dai
  
  IEEE Transactions on Parallel and Distributed Systems | November 2010, Vol 22
  
  Publication Publication
- A Game-theoretic Framework to Identify Overlapping Communities in Social Networks
  
  Wei Chen, Zhenming Liu, Xiaorui Sun, Yajun Wang
  
  Data Mining and Knowledge Discovery Journal, special issue on ECML PKDD 2010, 21(2), September, 2010, pp. 224-240. | September 2010
  
  Winner of the best student paper award in data mining at ECML PKDD 2010.
  
  Publication
- Scalable Influence Maximization for Prevalent Viral Marketing in Large-Scale Social Networks
  
  Wei Chen, Chi Wang, Yajun Wang
  
  Proceedings of the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2010), Washington DC, U.S.A. | July 2010
  
  PDF Author's Version
- The Isolation Game: A Game of Distances
  
  Yingchao Zhao, Wei Chen, Shang-Hua Teng
  
  Theoretical Computer Science | November 2009, Vol 410(47-49): pp. 4905-4919
  
  An extended abstract appears in Proceedings of the 19th International Symposium on Algorithms and Computation ( ISAAC'2008), Gold Coast, Australia, Dec. 2008
  
  PDF
- Implementing Uniform Reliable Broadcast with Binary Consensus in Systems with Fair-Lossy Links
  
  Jialin Zhang, Wei Chen
  
  Information Processing Letters | October 2009, Vol 110
  
  Publication
- Compact Routing in Power-law Graphs
  
  Wei Chen, Christian Sommer, Shang-Hua Teng, Yajun Wang
  
  In Proceedings of the 23rd International Symposium on Distributed Computing (DISC'2009), Elche/Elx, Spain, Sept. 2009. | September 2009
  
  Publication
- Formal Verification of Scalable NonZero Indicators
  
  Shao Jie Zhang, Yang Liu, Jun Sun, Jin Song Dong, Yanhong A. Liu, Wei Chen
  
  The 21st International Conference on Software Engineering and Knowledge Engineering (SEKE'2009), Boston, U.S.A., July 2009. | July 2009
  
  Publication
- Bounded Cost Algorithms for Multivalued Consensus using Binary Consensus Instances
  
  Jialin Zhang, Wei Chen
  
  Information Processing Letters, Elsevier, (109), 2009, pp. 1005 -1009. | June 2009
  
  Publication
- On the $alpha$-Sensitivity of Nash Equilibria in PageRank-Based Network Reputation Games
  
  Wei Chen, Shang-Hua Teng, Yajun Wang, Yuan Zhou
  
  In Proceedings of the 3rd International Frontiers of Algorithmics Workshop (FAW'2009), Hefei, China, June 2009. | June 2009
  
  Publication
- Efficient Influence Maximization in Social Networks
  
  Wei Chen, Yajun Wang, Siyu Yang
  
  Proceedings of the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2009) | June 2009
  
  Publication
- Quorum-Based Perfect Failure Detection Service
  
  Wei Chen, Xuezheng Liu, Lidong Zhou, Yunni Xia
  
  MSR-TR-2009-62 | May 2009
  
  Publication
- Model Checking Linearizability via Refinement
  
  Yang Liu, Yanghong A. Liu, Jun Sun, Wei Chen
  
  Proceedings of the 16th International Symposium on Formal Methods (FM'2009), Eindhoven, the Netherlands, Nov. 2009. | March 2009
  
  Publication
- Note on the Hardness of Bounded Budget Betweenness Centrality Game with Path Length Constraints
  
  Xiaohui Bei, Wei Chen, Jialin Zhang
  
  MSR-TR-2009-10 | February 2009
  
  Publication
- The Betweenness Centrality Game for Strategic Network Formations
  
  Wei Chen, Shang-Hua Teng, Jiajie Zhu
  
  MSR-TR-2008-167 | November 2008
  
  Publication
- Probabilistic Failure Detection for Efficient Distributed Storage Maintenance
  
  Jing Tian, Zhi Yang, Wei Chen, Ben Y. Zhao, Yafei Dai
  
  October 2008
  
  Publication
- Ranking of Closeness Centrality for Large-scale Social Networks
  
  Kazuya Okamoto, Wei Chen, Xiang-Yang Li
  
  Proceedings of the 2nd International Frontiers of Algorithmics Workshop (FAW'2008), Changsha, China, June 2008. | June 2008
  
  Publication
- Failure Detectors and Extended Paxos for k-Set Agreement
  
  Wei Chen, Jialin Zhang, Yu Chen, Xuezheng Liu
  
  Proceedings of the 13th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC'2007), Melbourne, Australia, Dec. 2007. | December 2007
  
  Proceedings of the 13th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC'2007)
  
  Publication Publication
- Decentralized, Connectivity-Preserving, and Cost-Effective Structured Overlay Maintenance
  
  Yu Chen, Wei Chen
  
  November 2007
  
  Publication Publication
- An Analytical Framework and Its Applications for Studying Brick Storage Reliability
  
  Ming Chen, Likun Liu, Wei Chen, Zheng Zhang
  
  October 2007
  
  Publication Publication
- Weakening Failure Detectors for k-set Agreement via the Partition Approach
  
  Wei Chen, Jialin Zhang, Yu Chen, Xuezheng Liu
  
  In Proceedings of the 21st International Symposium on Distributed Computing (DISC'2007), Lemesos, Cyprus, Sept. 2007. | September 2007
  
  Publication
- Abortable Consensus and Its Application to Probabilistic Atomic Broadcast
  
  Wei Chen
  
  MSR-TR-2006-135 | September 2007
  
  URCS Technical Report 648
  
  Publication
- Decentralized, Connectivity-Preserving, and Cost-Effective Structured Overlay Maintenance
  
  Yu Chen, Wei Chen
  
  MSR-TR-2007-84 | July 2007
  
  Publication
- On Failure Detectors Weaker Than Ever
  
  Wei Chen, Yu Chen, Jialin Zhang
  
  MSR-TR-2007-50 | May 2007
  
  Publication
- Partition Approach to Failure Detectors for k-Set Agreement
  
  Wei Chen, Jialin Zhang, Yu Chen, Xuezheng Liu
  
  MSR-TR-2007-49 | May 2007
  
  Publication
- Self-Stabilizing, Cost-Effective, and Fast-Convergent Structured Overlay Maintenance
  
  Yu Chen, Wei Chen
  
  MSR-TR-2006-56 | May 2006
  
  Publication
- Enforcing Routing Consistency in Structured Peer-to-Peer Overlays: Should We and Could We?
  
  Wei Chen, Xuezheng Liu
  
  February 2006
  
  Publication
- BitVault: a Highly Reliable Distributed Data Retention Platform
  
  Zheng Zhang, Qiao Lian, Shiding Lin, Wei Chen, Yu Chen, Chao Jin
  
  MSR-TR-2005-179 | December 2005
  
  Publication
- Distributed soft-state index management in BitVault — protocols and its correctness
  
  Wei Chen, Zheng Zhang
  
  MSR-TR-2005-88 | September 2005
  
  Publication
- Z-Ring: Fast Prefix Routing via a Low Maintenance Membership Protocol
  
  Qiao Lian, Wei Chen, Zheng Zhang, Shaomei Wu, Ben Y Zhao
  
  Proceedings of the 13th IEEE International Conference on Network Protocols (ICNP'2005), Boston, MA, U.S.A., November 2005. | August 2005
  
  Publication Publication
- On the Impact of Replica Placement to the Reliability of Distributed Brick Storage System
  
  Wei Chen, Zheng Zhang
  
  June 2005
  
  Publication Publication
- On the impact of replica placement to the reliability of distributed brick storage systems
  
  Qiao Lian, Wei Chen, Zheng Zhang
  
  MSR-TR-2005-71 | June 2005
  
  Publication Publication
- Sigma: A Fault-Tolerant Mutual Exclusion Algorithm in Dynamic Distributed Systems Subject to Process Crashes and Memory Losses
  
  Wei Chen, Shi-Ding Lin, Qiao Lian, Zheng Zhang
  
  MSR-TR-2005-58 | May 2005
  
  Publication Publication
- On the Quality of Service of Failure Detectors
  
  Wei Chen, Sam Toueg, Marcos K. Aguilera
  
  IEEE Transaction on Computers, 51:5, May 2002, pp. 561-580. | May 2002
  
  Publication
- On the Quality of Service of Failure Detectors
  
  Wei Chen, Sam Toueg, Marcus K. Aguilera
  
  In Proceedings of the International Conference on Dependable Systems and Networks (DSN'2000), New York, NY, USA, IEEE Computer Society and IFIP WG 10.4, June 2000, pp. 191-200. | June 2000
  
  Winner of the William C. Carter Award
  
  Publication
- Failure Detection and Consensus in the Crash-recovery Model
  
  Wei Chen
  
  Distributed Computing, Springer-Verlag, 13:2, April 2000, pp. 99-125. | April 2000
  
  Publication
- On Quiescent Reliable Communication
  
  Wei Chen
  
  SIAM Journal on Computing, 29:6, April 2000, pp. 2040-2073. | April 2000
  
  Publication
- Using the Heartbeat Failure Detector for Quiescent Reliable Communication and Consensus in Partitionable Networks
  
  Wei Chen
  
  Theoretical Computer Science, Elsevier Science, invited paper in the special issue on distributed algorithms, 220:1, June 1999, pp. 3-30. | June 1999
  
  Publication
- Failure Detection and Consensus in the Crash-recovery Model
  
  Marcos K. Aguilera, Wei Chen, Sam Toueg
  
  In Proceedings of the 12th International Symposium on Distributed Computing (DISC'98), Andros, Greece, Lecture Notes on Computer Science 1499, Springer-Verlag, September 1998, pp. 231-245. | September 1998
  
  Publication
- Heartbeat: A Timeout-free Failure Detector for Quiescent Reliable Communication
  
  Wei Chen
  
  In Proceedings of the 11th International Workshop on Distributed Algorithms (WDAG'97), Saarbruecken, Germany, Lecture Notes on Computer Science 1320, Springer-Verlag, September 1997, pp. 126-140. | September 1997
  
  Publication

- Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation
  
  Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C.S. Lui, Wei Chen, Carlee Joe-Wong
  
  IEEE International Conference on Computer Communications (INFOCOM) | May 2026
  
  PDF Preprint
- Latent-DARM: Bridging Discrete Diffusion and Autoregressive Models for Reasoning
  
  Lina Berrayana, Ahmed Heakl, Muhammad Abdullah Sohail, Thomas Hofmann, Salman Khan, Wei Chen
  
  Proceedings of Workshop on Latent & Implicit Thinking – Going Beyond CoT Reasoning (LIT), the 14th International Conference on Learning Representations (ICLR) | April 2026
  
  PDF Preprint
- Combinatorial Rising Bandits
  
  Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  ICLR 2026 | April 2026
  
  PDF Preprint
- Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
  
  Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen
  
  ICLR 2026 | April 2026
  
  PDF Preprint
- SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits
  
  Edward Lin, Sahil Modi, S. Hari, Qijing Huang, Zhifan Ye, N. Qin, Fengzhe Zhou, Yuan Zhang, Jingquan Wang, S. Damani, Dheeraj Peri, Ouye Xie, Aditya Kane, Moshe Maor, M. Behar, Triston Cao, Rishabh Mehta, Vartika Singh, Vikram Sharma Mailthody, Te-Wei Chen, Zihao Ye, Hanfeng Chen, Tianqi Chen, Vinod Grover, Wei Chen, Wei Liu, Eric Chung, L. Ceze, Roger A. Bringmann, C. Zeller, M.F. Lightstone, Christos Kozyrakis, Humphrey Shi
  
  March 2026
  
  Publication
- Hybrid Combinatorial Multi-armed Bandits with Probabilistically Triggered Arms
  
  Kongchang Zhou, Tingyu Zhang, Wei Chen, Fang Kong
  
  December 2025
  
  Publication
- Mechanism Design for LLM Fine-tuning with Multiple Reward Models
  
  Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng
  
  Neural Information Processing Systems (NeurIPS) 2025 | December 2025
  
  PDF
- Multi-Play Combinatorial Semi-Bandit Problem
  
  Shintaro Nakamura, Yuko Kuroki, Wei Chen, Wei Chen
  
  September 2025
  
  Publication
- Offline Learning for Combinatorial Multi-armed Bandits
  
  Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025
  
  PDF
- A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator
  
  Xiaobin Rui, Zhixiao Wang, Hao Peng, Wei Chen, Philip S. Yu
  
  IEEE Transactions on Knowledge and Data Engineering (TKDE) | May 2025
  
  PDF
- Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
  
  Tianchi Xie, Jiangning Zhu, Guozu Ma, Minzhi Lin, Wei Chen, Weikai Yang, Shixia Liu
  
  Proceedings of the 13th International Conference on Learning Representations (ICLR) | April 2025
  
  PDF
- Convergence to Equilibrium of No-regret Dynamics in Congestion Games
  
  Volkan Cevher, Wei Chen, Leello Dadi, Jing Dong, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Baoxiang Wang, Siwei Wang, Jingyu Wu
  
  Conference on Web and Internet Economics (WINE) | December 2024
  
  PDF Publication
- Combinatorial Causal Bandits without Graph Skeleton
  
  Shi Feng, Nuoya Xiong, Wei Chen
  
  Proceedings of the 16th Asian Conference on Machine Learning (ACML) | December 2024
  
  PDF
- Query-Efficient Correlation Clustering with Noisy Oracle
  
  Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen
  
  NeurIPS 2024 | December 2024
  
  PDF DOI
- Can Graph Learning Improve Task Planning?
  
  Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
  
  Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
  
  Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen
  
  Proceedings of the 41st International Conference on Machine Learning (ICML) | July 2024
  
  PDF
- Combinatorial Bandits for Maximum Value Reward Function under Value-index Feedback
  
  Yiliu Wang, Wei Chen, Milan Vojnovic
  
  Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024
  
  PDF
- Cascading Reinforcement Learning
  
  Yihan Du, R. Srikant, Wei Chen
  
  Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024
  
  PDF
- Scalable Fair Influence Maximization
  
  Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen
  
  Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS) | December 2023
  
  PDF Preprint
- Multi-Fidelity Multi-Armed Bandits Revisited
  
  Xuchuang Wang, Qingyun Wu, Wei Chen, John C.S. Lui
  
  Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS) | December 2023
  
  PDF Preprint
- Contextual Combinatorial Bandits with Probabilistically Triggered Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
  
  Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
  
  PDF Preprint
- Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
  
  Zongqi Wan, Jialin Zhang, Wei Chen, Xiaoming Sun, Zhijie Zhang
  
  Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
  
  PDF Preprint
- Mitigating Filter Bubbles Under a Competitive Diffusion Model
  
  Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
  
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023
  
  PDF
- Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation
  
  Hao Liao, Sheng Bi, Jiao Wu, Wei Zhang, Mingyang Zhou, Rui Mao, Wei Chen
  
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023
  
  PDF
- Collaborative Pure Exploration in Kernel Bandit
  
  Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang
  
  Proceedings of the 11th International Conference on Learning Representations (ICLR) | May 2023
  
  PDF
- Combinatorial Pure Exploration of Causal Bandits
  
  Nuoya Xiong, Wei Chen
  
  Proceedings of the 11th International Conference on Learning Representations (ICLR) | May 2023
  
  PDF
- Combinatorial Causal Bandits
  
  Shi Feng, Wei Chen
  
  Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI) | February 2023
  
  PDF Preprint
- Scalable Adversarial Attack Algorithms on Influence Maximization
  
  Lichao Sun, Xiaobin Rui, Wei Chen
  
  Proceedings of the 16th ACM International WSDM Conference (WSDM) | February 2023
  
  PDF Preprint
- Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022
  
  PDF
- Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret
  
  Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu
  
  Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022
  
  PDF
- The pure exploration problem with general reward functions depending on full distributions
  
  Siwei Wang, Wei Chen
  
  Machine Learning | July 2022
  
  Publication
- Branching Reinforcement Learning
  
  Yihan Du, Wei Chen
  
  Proceedings of the 39th International Conference on Machine Learning (ICML) | July 2022
  
  PDF Preprint
- Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization
  
  Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao
  
  Journal of Artificial Intelligence Research | May 2022, Vol 74: pp. 303-351
  
  PDF
- Online Competitive Influence Maximization
  
  Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) | March 2022
  
  PDF
- Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback
  
  Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang
  
  Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI) | February 2022
  
  This version fixed some bugs contained in the published version. See footnote in the first page.
  
  PDF
- Higher Order Monotonicity and Submodularity of Influence in Social Networks: From Local to Global
  
  Wei Chen, Qiang Li, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
  
  Information and Computation | January 2022
  
  PDF
- Combinatorial Pure Exploration with Bottleneck Reward Function
  
  Yihan Du, Yuko Kuroki, Wei Chen
  
  Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
  
  PDF Publication
- The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle
  
  Fang Kong, Yueran Yang, Wei Chen, Shuai Li
  
  Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
  
  PDF Publication
- Causal Inference for Influence Propagation — Identifiability of the Independent Cascade Model
  
  Shi Feng, Wei Chen
  
  Proceedings of the 10th International Conference on Computational Social Networks (CSoNet'2021) | November 2021
  
  Winner of the sole Best Paper Award
  
  PDF
- 基于优化反馈的组合在线学习 (Combinatorial Online Learning Based on Optimizing feedbacks）
  
  Fang Kong, Yueran Yang, Wei Chen, Shuai Li
  
  大数据（Big Data Research） | September 2021, Vol 7(5)
  
  PDF
- 基于样本的优化（Optimization from Samples）
  
  Zhijie Zhang, Xiaoming Sun, Jialin Zhang, Wei Chen
  
  大数据（Big Data Research） | September 2021, Vol 7(5): pp. 100-110
  
  PDF
- Maximizing Social Welfare in a Competitive Diffusion Model
  
  Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
  
  VLDB 2021 | August 2021
  
  PDF Publication
- Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning
  
  Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui
  
  2021 International Conference on Machine Learning (ICML) | July 2021
  
  PDF Publication
- Network Inference and Influence Maximization from Samples
  
  Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang
  
  2021 International Conference on Machine Learning (ICML) | July 2021
  
  PDF Publication
- Combinatorial Semi-Bandit in the Non-Stationary Environment
  
  Wei Chen, Liwei Wang, Haoyu Zhao, Kai Zheng
  
  Conference on Uncertainty in Artificial Intelligence (UAI) 2021 | June 2021
  
  PDF Publication
- Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback
  
  Yihan Du, Yuko Kuroki, Wei Chen
  
  Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI) | February 2021
  
  PDF
- Online Influence Maximization under Linear Threshold Model
  
  Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen
  
  Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2020
  
  Some typos in the original NeurIPS'2020 paper have been fixed.
  
  PDF
- Scalable Lattice Influence Maximization
  
  Wei Chen, Ruihan Wu, Zheng Yu
  
  IEEE Transactions on Computational Social Systems | August 2020, Vol 7(4): pp. 956-970
  
  Author's Version
- Follow the Perturbed Approximate Leader for Solving Semi-bandit Combinatorial Optimization
  
  Feidiao Yang, Wei Chen, Jialin Zhang, Xiaoming Sun
  
  Frontiers in Computer Science | July 2020
  
  PDF
- Optimization from Structured Samples for Coverage Functions
  
  Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang
  
  Proceedings of the 37th International Conference on Machine Learning, (ICML) | July 2020
  
  PDF
- (Locally) Differentially Private Combinatorial Semi-Bandits
  
  Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang
  
  Proceedings of the 37th International Conference on Machine Learning (ICML) | July 2020
  
  Publication PDF
- Combinatorial Pure Exploration for Dueling Bandits
  
  Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao
  
  Proceedings of the 37th International Conference on Machine Learning (ICML) | July 2020
  
  PDF Author's Version
- Efficient Approximation Algorithms for Adaptive Influence Maximization
  
  Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim
  
  The VLDB Journal | June 2020
  
  Author's Version Publication
- 大数据网络传播模型和算法 (Network Diffusion Models and Algorithms for Big Data)
  
  Published by 人民邮电出版社 (Post & Telecom Press) | April 2020
  
  ISBN: 978-7-115-52554-3
  
  Publication
- Influence Maximization with Spontaneous User Adoption
  
  Lichao Sun, Albert Chen, Philip S. Yu, Wei Chen
  
  Proceedings of the 13th ACM International WSDM Conference (WSDM) | February 2020
  
  Publication
- Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization
  
  Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Stochastic Online Learning with Probabilistic Graph Feedback
  
  Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting
  
  Haoyu Zhao, Wei Chen
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations
  
  Wei Chen, Weizhong Zhang, Haoyu Zhao
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Adaptive Influence Maximization with Myopic Feedback
  
  Binghui Peng, Wei Chen
  
  Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  PDF
- On Adaptivity Gaps of Influence Maximization under the Independent Cascade Model with Full-Adoption Feedback
  
  Wei Chen, Binghui Peng
  
  Proceedings of the 30th International Symposium on Algorithms and Computation (ISAAC'2019) | December 2019
  
  PDF
- Stochastic One-Sided Full-Information Bandit
  
  Haoyu Zhao, Wei Chen
  
  Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'2019) | September 2019
  
  PDF
- Improved Algorithm on Online Clustering of Bandits
  
  Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung
  
  Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'2019) | August 2019
  
  PDF
- Factorization Bandits for Online Influence Maximization
  
  Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang
  
  Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2019), | August 2019
  
  PDF
- Community Exploration: From Offline Optimization to Online Learning
  
  Xiaowei Chen, Weiran Huang, Wei Chen, John C. S. Lui
  
  Proceedings of the 32nd Annual Conference on Neural Information Processing Systems (NeurIPS'2018) | December 2018
  
  PDF
- Coreness of Cooperative Games with Truncated Submodular Profit Functions (2018)
  
  Wei Chen, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
  
  2018 Algorithmic Game Theory | September 2018
  
  DOI Publication
- Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach.
  
  Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen
  
  Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18) | July 2018
  
  Publication
- Thompson Sampling for Combinatorial Semi-Bandits
  
  Siwei Wang, Wei Chen
  
  Proceedings of the 35th International Conference on Machine Learning (ICML'2018) | July 2018
  
  PDF
- Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications
  
  Weiran Huang, Jungseul Ok, Liang Li, Wei Chen
  
  Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'2018) | May 2018
  
  PDF
- Influence Maximization with epsilon-Almost Submodular Threshold Functions
  
  Qiang Li, Wei Chen, Xiaoming Sun, Jialin Zhang
  
  Proceedings of the 31st Annual Conference on Advances in Neural Information Processing Systems (NIPS'2017) | September 2017
  
  PDF
- Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications
  
  Qinshi Wang, Wei Chen
  
  Proceedings of the 31st Annual Conference on Advances in Neural Information Processing Systems (NIPS'2017) | September 2017
  
  PDF
- Combinatorial Multi-Armed Bandit with General Reward Functions
  
  Wei Chen, Wei Hu, Fu Li, Jian Li, Yu Liu, Pinyan Lu
  
  Proceedings of the 30th Annual Conference on Advances in Neural Information Processing Systems (NIPS'2016) | December 2016
  
  PDF
- Contextual Combinatorial Cascading Bandits
  
  Shuai Li, Baoxiang Wang, Shengyu Zhang, Wei Chen
  
  Proceedings of the 33rd International Conference on Machine Learning (ICML'2016) | June 2016
  
  Publication Publication
- Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms
  
  Wei Chen, Yajun Wang, Yang Yuan, Qinshi Wang
  
  Journal of Machine Learning Research | April 2016, Vol 17: pp. 1-33
  
  Publication
- Learning Market Parameters Using Aggregate Demand Queries
  
  Xiaohui Bei, Wei Chen, Jugal Garg, Martin Hoefer, Xiaoming Sun
  
  Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'2016), Phoenix, U.S.A., February, 2016. | February 2016
  
  Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI’2016)
  
  Publication
- Stochastic Online Greedy Learning with Semi-bandit Feedbacks
  
  Tian Lin, Jian Li, Wei Chen
  
  Proceedings of the 29th Annual Conference on Advances in Neural Information Processing Systems (NIPS'2015) | December 2015
  
  PDF
- Combinatorial Pure Exploration of Multi-Armed Bandits
  
  Shouyuan Chen, Tian Lin, Irwin King, Michael R. Lyu, Wei Chen
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS'2014) | December 2014
  
  The PDF download link contains some bug fixes to the original paper.
  
  PDF
- Combinatorial Partial Monitoring Game with Linear Feedback and its Applications
  
  Tian Lin, Bruno Abrahao, Robert Kleinberg, John C. S. Lui, Wei Chen
  
  Proceedings of the 31st International Conference on Machine Learning (ICML'2014) | June 2014
  
  Publication Publication
- Time-critical Influence Maximization in Social Networks with Time-delayed Diffusion Process
  
  Wei Chen, Wei Lu, Ning Zhang
  
  In Proceedings of the 26th Conference on Artificial Intelligence (AAAI'2012), Toronto, Canada, July 2012. | July 2012
  
  Publication Publication
- On the Quality of Service of Failure Detectors
  
  Wei Chen, Sam Toueg, Marcus K. Aguilera
  
  In Proceedings of the International Conference on Dependable Systems and Networks (DSN'2000), New York, NY, USA, IEEE Computer Society and IFIP WG 10.4, June 2000, pp. 191-200. | June 2000
  
  Winner of the William C. Carter Award
  
  Publication
- Failure Detection and Consensus in the Crash-recovery Model
  
  Wei Chen
  
  Distributed Computing, Springer-Verlag, 13:2, April 2000, pp. 99-125. | April 2000
  
  Publication
- On Quiescent Reliable Communication
  
  Wei Chen
  
  SIAM Journal on Computing, 29:6, April 2000, pp. 2040-2073. | April 2000
  
  Publication
- Using the Heartbeat Failure Detector for Quiescent Reliable Communication and Consensus in Partitionable Networks
  
  Wei Chen
  
  Theoretical Computer Science, Elsevier Science, invited paper in the special issue on distributed algorithms, 220:1, June 1999, pp. 3-30. | June 1999
  
  Publication
- Failure Detection and Consensus in the Crash-recovery Model
  
  Marcos K. Aguilera, Wei Chen, Sam Toueg
  
  In Proceedings of the 12th International Symposium on Distributed Computing (DISC'98), Andros, Greece, Lecture Notes on Computer Science 1499, Springer-Verlag, September 1998, pp. 231-245. | September 1998
  
  Publication
- Heartbeat: A Timeout-free Failure Detector for Quiescent Reliable Communication
  
  Wei Chen
  
  In Proceedings of the 11th International Workshop on Distributed Algorithms (WDAG'97), Saarbruecken, Germany, Lecture Notes on Computer Science 1320, Springer-Verlag, September 1997, pp. 126-140. | September 1997
  
  Publication
- Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation
  
  Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C.S. Lui, Wei Chen, Carlee Joe-Wong
  
  IEEE International Conference on Computer Communications (INFOCOM) | May 2026
  
  PDF Preprint
- Latent-DARM: Bridging Discrete Diffusion and Autoregressive Models for Reasoning
  
  Lina Berrayana, Ahmed Heakl, Muhammad Abdullah Sohail, Thomas Hofmann, Salman Khan, Wei Chen
  
  Proceedings of Workshop on Latent & Implicit Thinking – Going Beyond CoT Reasoning (LIT), the 14th International Conference on Learning Representations (ICLR) | April 2026
  
  PDF Preprint
- Combinatorial Rising Bandits
  
  Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  ICLR 2026 | April 2026
  
  PDF Preprint
- Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
  
  Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen
  
  ICLR 2026 | April 2026
  
  PDF Preprint
- Mechanism Design for LLM Fine-tuning with Multiple Reward Models
  
  Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng
  
  Neural Information Processing Systems (NeurIPS) 2025 | December 2025
  
  PDF
- Offline Learning for Combinatorial Multi-armed Bandits
  
  Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025
  
  PDF
- A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator
  
  Xiaobin Rui, Zhixiao Wang, Hao Peng, Wei Chen, Philip S. Yu
  
  IEEE Transactions on Knowledge and Data Engineering (TKDE) | May 2025
  
  PDF
- Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
  
  Tianchi Xie, Jiangning Zhu, Guozu Ma, Minzhi Lin, Wei Chen, Weikai Yang, Shixia Liu
  
  Proceedings of the 13th International Conference on Learning Representations (ICLR) | April 2025
  
  PDF
- Convergence to Equilibrium of No-regret Dynamics in Congestion Games
  
  Volkan Cevher, Wei Chen, Leello Dadi, Jing Dong, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Baoxiang Wang, Siwei Wang, Jingyu Wu
  
  Conference on Web and Internet Economics (WINE) | December 2024
  
  PDF Publication
- Combinatorial Causal Bandits without Graph Skeleton
  
  Shi Feng, Nuoya Xiong, Wei Chen
  
  Proceedings of the 16th Asian Conference on Machine Learning (ACML) | December 2024
  
  PDF
- Query-Efficient Correlation Clustering with Noisy Oracle
  
  Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen
  
  NeurIPS 2024 | December 2024
  
  PDF DOI
- Uncovering Milestone Papers: A Network Diffusion and Game Theory Approach
  
  Wei Zhang, Juyang Cao, Manuel Sebastian Mariani, Zhen-Zhen Wang, Mingyang Zhou, Wei Chen, Hao Liao
  
  Journal of Informetrics | August 2024, Vol 18(3)
  
  Publication
- Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
  
  Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen
  
  Proceedings of the 41st International Conference on Machine Learning (ICML) | July 2024
  
  PDF
- Combinatorial Bandits for Maximum Value Reward Function under Value-index Feedback
  
  Yiliu Wang, Wei Chen, Milan Vojnovic
  
  Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024
  
  PDF
- Cascading Reinforcement Learning
  
  Yihan Du, R. Srikant, Wei Chen
  
  Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024
  
  PDF
- Scalable Fair Influence Maximization
  
  Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen
  
  Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS) | December 2023
  
  PDF Preprint
- Mitigating Filter Bubbles Under a Competitive Diffusion Model
  
  Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
  
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023
  
  PDF
- Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation
  
  Hao Liao, Sheng Bi, Jiao Wu, Wei Zhang, Mingyang Zhou, Rui Mao, Wei Chen
  
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023
  
  PDF
- Collaborative Pure Exploration in Kernel Bandit
  
  Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang
  
  Proceedings of the 11th International Conference on Learning Representations (ICLR) | May 2023
  
  PDF
- Combinatorial Pure Exploration of Causal Bandits
  
  Nuoya Xiong, Wei Chen
  
  Proceedings of the 11th International Conference on Learning Representations (ICLR) | May 2023
  
  PDF
- Combinatorial Causal Bandits
  
  Shi Feng, Wei Chen
  
  Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI) | February 2023
  
  PDF Preprint
- Scalable Adversarial Attack Algorithms on Influence Maximization
  
  Lichao Sun, Xiaobin Rui, Wei Chen
  
  Proceedings of the 16th ACM International WSDM Conference (WSDM) | February 2023
  
  PDF Preprint
- Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022
  
  PDF
- Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret
  
  Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu
  
  Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022
  
  PDF
- Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization
  
  Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao
  
  Journal of Artificial Intelligence Research | May 2022, Vol 74: pp. 303-351
  
  PDF
- Online Competitive Influence Maximization
  
  Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) | March 2022
  
  PDF
- Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback
  
  Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang
  
  Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI) | February 2022
  
  This version fixed some bugs contained in the published version. See footnote in the first page.
  
  PDF
- Higher Order Monotonicity and Submodularity of Influence in Social Networks: From Local to Global
  
  Wei Chen, Qiang Li, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
  
  Information and Computation | January 2022
  
  PDF
- Combinatorial Pure Exploration with Bottleneck Reward Function
  
  Yihan Du, Yuko Kuroki, Wei Chen
  
  Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
  
  PDF Publication
- The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle
  
  Fang Kong, Yueran Yang, Wei Chen, Shuai Li
  
  Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
  
  PDF Publication
- Causal Inference for Influence Propagation — Identifiability of the Independent Cascade Model
  
  Shi Feng, Wei Chen
  
  Proceedings of the 10th International Conference on Computational Social Networks (CSoNet'2021) | November 2021
  
  Winner of the sole Best Paper Award
  
  PDF
- 基于优化反馈的组合在线学习 (Combinatorial Online Learning Based on Optimizing feedbacks）
  
  Fang Kong, Yueran Yang, Wei Chen, Shuai Li
  
  大数据（Big Data Research） | September 2021, Vol 7(5)
  
  PDF
- 基于样本的优化（Optimization from Samples）
  
  Zhijie Zhang, Xiaoming Sun, Jialin Zhang, Wei Chen
  
  大数据（Big Data Research） | September 2021, Vol 7(5): pp. 100-110
  
  PDF
- Maximizing Social Welfare in a Competitive Diffusion Model
  
  Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
  
  VLDB 2021 | August 2021
  
  PDF Publication
- Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning
  
  Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui
  
  2021 International Conference on Machine Learning (ICML) | July 2021
  
  PDF Publication
- Network Inference and Influence Maximization from Samples
  
  Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang
  
  2021 International Conference on Machine Learning (ICML) | July 2021
  
  PDF Publication
- Combinatorial Semi-Bandit in the Non-Stationary Environment
  
  Wei Chen, Liwei Wang, Haoyu Zhao, Kai Zheng
  
  Conference on Uncertainty in Artificial Intelligence (UAI) 2021 | June 2021
  
  PDF Publication
- Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback
  
  Yihan Du, Yuko Kuroki, Wei Chen
  
  Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI) | February 2021
  
  PDF
- Online Influence Maximization under Linear Threshold Model
  
  Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen
  
  Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2020
  
  Some typos in the original NeurIPS'2020 paper have been fixed.
  
  PDF
- Scalable Lattice Influence Maximization
  
  Wei Chen, Ruihan Wu, Zheng Yu
  
  IEEE Transactions on Computational Social Systems | August 2020, Vol 7(4): pp. 956-970
  
  Author's Version
- Follow the Perturbed Approximate Leader for Solving Semi-bandit Combinatorial Optimization
  
  Feidiao Yang, Wei Chen, Jialin Zhang, Xiaoming Sun
  
  Frontiers in Computer Science | July 2020
  
  PDF
- Optimization from Structured Samples for Coverage Functions
  
  Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang
  
  Proceedings of the 37th International Conference on Machine Learning, (ICML) | July 2020
  
  PDF
- (Locally) Differentially Private Combinatorial Semi-Bandits
  
  Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang
  
  Proceedings of the 37th International Conference on Machine Learning (ICML) | July 2020
  
  Publication PDF
- Combinatorial Pure Exploration for Dueling Bandits
  
  Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao
  
  Proceedings of the 37th International Conference on Machine Learning (ICML) | July 2020
  
  PDF Author's Version
- Coreness of cooperative games with truncated submodular profit functions
  
  Wei Chen, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
  
  Theoretical Computer Science | June 2020, Vol 822: pp. 49-60
  
  PDF DOI
- Efficient Approximation Algorithms for Adaptive Influence Maximization
  
  Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim
  
  The VLDB Journal | June 2020
  
  Author's Version Publication
- 大数据网络传播模型和算法 (Network Diffusion Models and Algorithms for Big Data)
  
  Published by 人民邮电出版社 (Post & Telecom Press) | April 2020
  
  ISBN: 978-7-115-52554-3
  
  Publication
- A Graph-Theoretical Basis of Stochastic-Cascading Network Influence: Characterizations of Influence-Based Centrality
  
  Wei Chen, Shang-Hua Teng, Hanrui Zhang
  
  Theoretical Computer Science | April 2020
  
  PDF
- Influence Maximization with Spontaneous User Adoption
  
  Lichao Sun, Albert Chen, Philip S. Yu, Wei Chen
  
  Proceedings of the 13th ACM International WSDM Conference (WSDM) | February 2020
  
  Publication
- Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization
  
  Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Stochastic Online Learning with Probabilistic Graph Feedback
  
  Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting
  
  Haoyu Zhao, Wei Chen
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations
  
  Wei Chen, Weizhong Zhang, Haoyu Zhao
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Adaptive Influence Maximization with Myopic Feedback
  
  Binghui Peng, Wei Chen
  
  Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  PDF
- On Adaptivity Gaps of Influence Maximization under the Independent Cascade Model with Full-Adoption Feedback
  
  Wei Chen, Binghui Peng
  
  Proceedings of the 30th International Symposium on Algorithms and Computation (ISAAC'2019) | December 2019
  
  PDF
- Stochastic One-Sided Full-Information Bandit
  
  Haoyu Zhao, Wei Chen
  
  Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'2019) | September 2019
  
  PDF
- Complete Submodularity Characterization in the Comparative Independent Cascade Model
  
  Wei Chen, Hanrui Zhang
  
  Theoretical Computer Science | September 2019, Vol 786(27): pp. 78-87
  
  PDF Publication
- Improved Algorithm on Online Clustering of Bandits
  
  Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung
  
  Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'2019) | August 2019
  
  PDF
- Factorization Bandits for Online Influence Maximization
  
  Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang
  
  Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2019), | August 2019
  
  PDF
- Maximizing Welfare in Social Networks under a Utility Driven Influence Diffusion Model
  
  Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
  
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD'2019) | June 2019
  
  PDF
- Cumulative Activation in Social Networks
  
  Xiaohan Shan, Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang
  
  Science China Information Sciences | May 2019, Vol 62
  
  PDF
- Capturing Complementarity in Set Functions by Going Beyond Submodularity/Subadditivity
  
  Wei Chen, Shang-Hua Teng, Hanrui Zhang
  
  Proceedings of the 10th Innovations in Theoretical Computer Science Conference (ITCS'2019) | January 2019
  
  PDF
- Community Exploration: From Offline Optimization to Online Learning
  
  Xiaowei Chen, Weiran Huang, Wei Chen, John C. S. Lui
  
  Proceedings of the 32nd Annual Conference on Neural Information Processing Systems (NeurIPS'2018) | December 2018
  
  PDF
- An Issue in the Martingale Analysis of the Influence Maximization Algorithm IMM
  
  Wei Chen
  
  Proceedings of the 7th International Conference on Computational Social Networks (CSoNet'2018) | December 2018
  
  PDF
- Coreness of Cooperative Games with Truncated Submodular Profit Functions (2018)
  
  Wei Chen, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
  
  2018 Algorithmic Game Theory | September 2018
  
  DOI Publication
- Thompson Sampling for Combinatorial Semi-Bandits
  
  Siwei Wang, Wei Chen
  
  Proceedings of the 35th International Conference on Machine Learning (ICML'2018) | July 2018
  
  PDF
- Multi-Round Influence Maximization
  
  Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen
  
  Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018), London, United Kingdom, August 2018 | June 2018
  
  PDF
- Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications
  
  Weiran Huang, Jungseul Ok, Liang Li, Wei Chen
  
  Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'2018) | May 2018
  
  PDF
- Boosting Information Spread: An Algorithmic Approach
  
  Yishi Lin, Wei Chen, John C. S. Lui
  
  IEEE Transactions on Computational Social Systems | April 2018, Vol 5(2): pp. 344-357
  
  PDF
- A Game Theoretic Model for the Formation of Navigable Small-World Networks — the Tradeoff between Distance and Reciprocity
  
  Zhi Yang, Wei Chen
  
  ACM Transactions on Internet Technology | April 2018
  
  PDF
- Influence Maximization with epsilon-Almost Submodular Threshold Functions
  
  Qiang Li, Wei Chen, Xiaoming Sun, Jialin Zhang
  
  Proceedings of the 31st Annual Conference on Advances in Neural Information Processing Systems (NIPS'2017) | September 2017
  
  PDF
- Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications
  
  Qinshi Wang, Wei Chen
  
  Proceedings of the 31st Annual Conference on Advances in Neural Information Processing Systems (NIPS'2017) | September 2017
  
  PDF
- Complete Submodularity Characterization in the Comparative Independent Cascade Model
  
  Wei Chen, Hanrui Zhang
  
  In Proceedings of the 11th International Frontiers of Algorithmics Workshop (FAW'2017), Chengdu, China, June, 2017 | May 2017
  
  Publication Publication
- Boosting Information Spread: An Algorithmic Approach
  
  Yishi Lin, Wei Chen, John C. S. Lui
  
  Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE'2017), San Diego, U.S.A., April, 2017 | April 2017
  
  Publication
- Interplay between Social Influence and Network Centrality: A Comparative Study on Shapley Centrality and Single-Node-Influence Centrality
  
  Wei Chen, Shang-Hua Teng
  
  26th International World Wide Web Conference (WWW'2017), Perth, Australia, April, 2017 | April 2017
  
  PDF
- Assessing Percolation Threshold Based on High-Order Non-Backtracking Matrices
  
  Yuan Lin, Wei Chen, Zhongzhi Zhang
  
  26th International World Wide Web Conference (WWW'2017), Perth, Australia, April, 2017 | April 2017
  
  Publication
- Partitioned Sampling of Public Opinions Based on Their Social Dynamics
  
  Weiran Huang, Liang Li, Wei Chen
  
  Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'2017), San Francisco, San Francisco, California, USA, Feb. 2017 | February 2017
  
  Publication Publication
- Combinatorial Multi-Armed Bandit with General Reward Functions
  
  Wei Chen, Wei Hu, Fu Li, Jian Li, Yu Liu, Pinyan Lu
  
  Proceedings of the 30th Annual Conference on Advances in Neural Information Processing Systems (NIPS'2016) | December 2016
  
  PDF
- Robust Influence Maximization
  
  Wei Chen, Tian Lin, Zihan Tan, Mingfei Zhao, Xuren Zhou
  
  In Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2016), San Francisco, U.S.A., August, 2016. | June 2016
  
  Publication Publication
- The Routing of Complex Contagion in Kleinberg’s Small-world Networks
  
  Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang
  
  Proceedings of the 22nd International Computing and Combinatorics Conference (COCOON'2016), Ho Chi Minh City, Vietnam, August, 2016. | June 2016
  
  Proceedings of the 22nd International Computing and Combinatorics Conference (COCOON'2016)
  
  Publication Publication
- Contextual Combinatorial Cascading Bandits
  
  Shuai Li, Baoxiang Wang, Shengyu Zhang, Wei Chen
  
  Proceedings of the 33rd International Conference on Machine Learning (ICML'2016) | June 2016
  
  Publication Publication
- Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms
  
  Wei Chen, Yajun Wang, Yang Yuan, Qinshi Wang
  
  Journal of Machine Learning Research | April 2016, Vol 17: pp. 1-33
  
  Publication
- Learning Market Parameters Using Aggregate Demand Queries
  
  Xiaohui Bei, Wei Chen, Jugal Garg, Martin Hoefer, Xiaoming Sun
  
  Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'2016), Phoenix, U.S.A., February, 2016. | February 2016
  
  Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI’2016)
  
  Publication
- Stochastic Online Greedy Learning with Semi-bandit Feedbacks
  
  Tian Lin, Jian Li, Wei Chen
  
  Proceedings of the 29th Annual Conference on Advances in Neural Information Processing Systems (NIPS'2015) | December 2015
  
  PDF
- Voter Model on Signed Social Networks
  
  Yanhua Li, Wei Chen, Yajun Wang, Zhi-Li Zhang
  
  Internet Mathematics | November 2015, Vol 11(2): pp. 93-133
  
  A preliminary version appears as "Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships", WSDM'2013.
  
  PDF
- From Competition to Complementarity: Comparative Influence Diffusion and Maximization
  
  Wei Lu, Wei Chen, Laks V.S. Lakshmanan
  
  Proceedings of the VLDB Sept., 2016 | November 2015
  
  Publication Publication
- 社交网络影响力传播研究 (Research on influence diffusion in social networks)
  
  Wei Chen
  
  大数据 (Big Data Research) | October 2015, Vol 1
- Real-time Topic-aware Influence Maximization Using Preprocessing
  
  Wei Chen, Tian Lin, Cheng Yang
  
  Computational Social Networks | August 2015, Vol 3(8)
  
  Best paper runner-up award at the 4th International Conference on Computational Social Networks (CSoNet'2015)
  
  Publication Publication Publication
- Combining Traditional Marketing and Viral Marketing with Amphibious Influence Maximization
  
  Wei Chen, Fu Li, Tian Lin, Aviad Rubinstein
  
  In Proceedings of the 16th ACM Conference on Economics and Computation (EC'2015), Portland, OR, U.S.A., June 2015. | June 2015
  
  Publication Publication
- A Game Theoretic Model for the Formation of Navigable Small-world Networks
  
  Zhi Yang, Wei Chen
  
  In Proceedings of the 24th International World Wide Web Conference (WWW'2015), Florence, Italy, May, 2015. | May 2015
  
  ISBN: ACM 978-1-4503-3469-3/15/05.
  
  Publication Publication Publication
- Diffusion of “following” Links in Microblogging Networks
  
  Jing Zhang, Zhanpeng Fang, Wei Chen, Jie Tang
  
  IEEE Transactions on Knowledge and Data Engineering | February 2015, Vol 37(8): pp. 2093
  
  Publication Publication
- Combinatorial Pure Exploration of Multi-Armed Bandits
  
  Shouyuan Chen, Tian Lin, Irwin King, Michael R. Lyu, Wei Chen
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS'2014) | December 2014
  
  The PDF download link contains some bug fixes to the original paper.
  
  PDF
- Minimizing Seed Set Selection with Probabilistic Coverage Guarantee in a Social Network
  
  Peng Zhang, Wei Chen, Xiaoming Sun, Yajun Wang, Jialin Zhang
  
  Proceedings of 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2014) | August 2014
  
  Proceedings of 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2014)
  
  Publication Publication Publication
- Combinatorial Partial Monitoring Game with Linear Feedback and its Applications
  
  Tian Lin, Bruno Abrahao, Robert Kleinberg, John C. S. Lui, Wei Chen
  
  Proceedings of the 31st International Conference on Machine Learning (ICML'2014) | June 2014
  
  Publication Publication
- Information and Influence Propagation in Social Networks
  
  Wei Chen, Laks V.S. Lakshmanan, Carlos Castillo
  
  Published by Morgan & Claypool | October 2013 | Morgan & Claypool Synthesis Lectures on Data Management, Oct. 2013 edition
  
  Morgan & Claypool Synthesis Lectures on Data Management, Oct. 2013
  
  Publication
- On the Power of Breakable Objects
  
  Wei Chen, Guangda Hu, Jialin Zhang
  
  Theoretical Computer Science, 503, Sept. 2013. | September 2013
  
  Publication Publication
- Maximizing Acceptance Probability for Active Friending in Online Social Networks
  
  De-Nian Yang, Hui-Ju Hung, Wang-Chien Lee, Wei Chen
  
  In Proceedings of 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2013), Chicago, Illinois, U.S.A., August, 2013. | August 2013
  
  Publication Publication
- Verifying Linearizability via Optimized Refinement Checking
  
  Yang Liu, Wei Chen, Yanhong A. Liu, Jun Sun, Shao Jie Zhang, Jin Song Dong
  
  IEEE Transactions on Software Engineering, 39(7), July 2013. | July 2013
  
  Publication
- Sybil-proof Mechanisms in Query Incentive Networks
  
  Wei Chen, Yajun Wang, Dongxiao Yu, Li Zhang
  
  Proceedings of ACM Conference on Electronic Commerce | June 2013
  
  Publication Publication
- Influence Diffusion Dynamics and Influence Maximization in Social Networks with Friend and Foe Relationships
  
  Yanhua Li, Wei Chen, Yajun Wang, Zhi-Li Zhang
  
  In Proceedings of the 6th International Conference on Web Search and Data Mining (WSDM'2013), Rome, Italy, Feb. 2013. | February 2013
  
  Publication Publication
- IRIE: Scalable and Robust Influence Maximization in Social Networks
  
  Kyomin Jung, Wooram Heo, Wei Chen
  
  In Proceedings of the 12th IEEE International Conference on Data Mining (ICDM'2012), Brussels, Belgium, December, 2012. | December 2012
  
  Winner of the 10-Year Highest-Impact Paper Award at ICDM'2021
  
  PDF
- A Compact Routing Scheme and Approximate Distance Oracle for Power-Law Graphs
  
  Wei Chen, Christian Sommer, Shang-Hua Teng, Yajun Wang
  
  ACM Transactions on Algorithms 9(1): 4 (2012). Extended abstract published in Distributed Computing (DISC), 2009. | September 2012, Vol 9
  
  Publication Publication Publication
- Time-critical Influence Maximization in Social Networks with Time-delayed Diffusion Process
  
  Wei Chen, Wei Lu, Ning Zhang
  
  In Proceedings of the 26th Conference on Artificial Intelligence (AAAI'2012), Toronto, Canada, July 2012. | July 2012
  
  Publication Publication
- Scalable Influence Maximization for Independent Cascade model in Large-scale Social Networks
  
  Chi Wang, Wei Chen, Yajun Wang
  
  Data Mining and Knowledge Discovery Journal | May 2012, Vol 25(3): pp. 545-576
  
  Publication
- Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model
  
  Xinran He, Guojie Song, Wei Chen, Qingye Jiang
  
  In Proceedings of the 12th SIAM International Conference on Data Mining (SDM'2012), Anaheim, CA, U.S.A., April, 2012. | April 2012
  
  Publication Publication
- Optimal Pricing in Social Networks with Incomplete Information
  
  Wei Chen, Pinyan Lu, Xiaorui Sun, Bo Tang, Yajun Wang, Zeyuan Allen Zhu
  
  In Proceedings of the 7th Workshop on Internet and Network Economics (WINE'2011), Singapore, December 2011. | December 2011
  
  Publication Publication
- Bounded Budget Betweenness Centrality Game for Strategic Network Formations
  
  Xiaohui Bei, Wei Chen, Shang-Hua Teng, Jialin Zhang, Jiajie Zhu
  
  Theoretical Computer Science, Vol. 412, Dec. 2011, 7147-7168. Extended abstract published in European Symposium of Algorithms (ESA), 2009. | December 2011, Vol 412: pp. 7147-7168
  
  Publication Publication Publication
- Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate
  
  Wei Chen, Alex Collins, Rachel Cummings, Te Ke, Zhenming Liu, David Rincon, Xiaorui Sun, Wei Wei, Yajun Wang, Yifei Yuan
  
  Proceedings of the 11th SIAM International Conference on Data Mining (SDM) | April 2011
  
  PDF Preprint
- Scalable influence maximization in social networks under the linear threshold model
  
  Wei Chen, Yifei Yuan, Li Zhang
  
  Proceedings of the 10th IEEE International Conference on Data Mining (ICDM'2010), Sydney, Australia | December 2010
  
  Publication Publication
- A Game-theoretic Framework to Identify Overlapping Communities in Social Networks
  
  Wei Chen, Zhenming Liu, Xiaorui Sun, Yajun Wang
  
  Data Mining and Knowledge Discovery Journal, special issue on ECML PKDD 2010, 21(2), September, 2010, pp. 224-240. | September 2010
  
  Winner of the best student paper award in data mining at ECML PKDD 2010.
  
  Publication
- Scalable Influence Maximization for Prevalent Viral Marketing in Large-Scale Social Networks
  
  Wei Chen, Chi Wang, Yajun Wang
  
  Proceedings of the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2010), Washington DC, U.S.A. | July 2010
  
  PDF Author's Version
- The Isolation Game: A Game of Distances
  
  Yingchao Zhao, Wei Chen, Shang-Hua Teng
  
  Theoretical Computer Science | November 2009, Vol 410(47-49): pp. 4905-4919
  
  An extended abstract appears in Proceedings of the 19th International Symposium on Algorithms and Computation ( ISAAC'2008), Gold Coast, Australia, Dec. 2008
  
  PDF
- Implementing Uniform Reliable Broadcast with Binary Consensus in Systems with Fair-Lossy Links
  
  Jialin Zhang, Wei Chen
  
  Information Processing Letters | October 2009, Vol 110
  
  Publication
- Compact Routing in Power-law Graphs
  
  Wei Chen, Christian Sommer, Shang-Hua Teng, Yajun Wang
  
  In Proceedings of the 23rd International Symposium on Distributed Computing (DISC'2009), Elche/Elx, Spain, Sept. 2009. | September 2009
  
  Publication
- Formal Verification of Scalable NonZero Indicators
  
  Shao Jie Zhang, Yang Liu, Jun Sun, Jin Song Dong, Yanhong A. Liu, Wei Chen
  
  The 21st International Conference on Software Engineering and Knowledge Engineering (SEKE'2009), Boston, U.S.A., July 2009. | July 2009
  
  Publication
- On the $alpha$-Sensitivity of Nash Equilibria in PageRank-Based Network Reputation Games
  
  Wei Chen, Shang-Hua Teng, Yajun Wang, Yuan Zhou
  
  In Proceedings of the 3rd International Frontiers of Algorithmics Workshop (FAW'2009), Hefei, China, June 2009. | June 2009
  
  Publication
- Bounded Cost Algorithms for Multivalued Consensus using Binary Consensus Instances
  
  Jialin Zhang, Wei Chen
  
  Information Processing Letters, Elsevier, (109), 2009, pp. 1005 -1009. | June 2009
  
  Publication
- Efficient Influence Maximization in Social Networks
  
  Wei Chen, Yajun Wang, Siyu Yang
  
  Proceedings of the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2009) | June 2009
  
  Publication
- Quorum-Based Perfect Failure Detection Service
  
  Wei Chen, Xuezheng Liu, Lidong Zhou, Yunni Xia
  
  MSR-TR-2009-62 | May 2009
  
  Publication
- The Betweenness Centrality Game for Strategic Network Formations
  
  Wei Chen, Shang-Hua Teng, Jiajie Zhu
  
  MSR-TR-2008-167 | November 2008
  
  Publication
- Probabilistic Failure Detection for Efficient Distributed Storage Maintenance
  
  Jing Tian, Zhi Yang, Wei Chen, Ben Y. Zhao, Yafei Dai
  
  October 2008
  
  Publication
- Ranking of Closeness Centrality for Large-scale Social Networks
  
  Kazuya Okamoto, Wei Chen, Xiang-Yang Li
  
  Proceedings of the 2nd International Frontiers of Algorithmics Workshop (FAW'2008), Changsha, China, June 2008. | June 2008
  
  Publication
- Weakening Failure Detectors for k-set Agreement via the Partition Approach
  
  Wei Chen, Jialin Zhang, Yu Chen, Xuezheng Liu
  
  In Proceedings of the 21st International Symposium on Distributed Computing (DISC'2007), Lemesos, Cyprus, Sept. 2007. | September 2007
  
  Publication
- Abortable Consensus and Its Application to Probabilistic Atomic Broadcast
  
  Wei Chen
  
  MSR-TR-2006-135 | September 2007
  
  URCS Technical Report 648
  
  Publication
- Decentralized, Connectivity-Preserving, and Cost-Effective Structured Overlay Maintenance
  
  Yu Chen, Wei Chen
  
  MSR-TR-2007-84 | July 2007
  
  Publication
- Partition Approach to Failure Detectors for k-Set Agreement
  
  Wei Chen, Jialin Zhang, Yu Chen, Xuezheng Liu
  
  MSR-TR-2007-49 | May 2007
  
  Publication
- Self-Stabilizing, Cost-Effective, and Fast-Convergent Structured Overlay Maintenance
  
  Yu Chen, Wei Chen
  
  MSR-TR-2006-56 | May 2006
  
  Publication
- Z-Ring: Fast Prefix Routing via a Low Maintenance Membership Protocol
  
  Qiao Lian, Wei Chen, Zheng Zhang, Shaomei Wu, Ben Y Zhao
  
  Proceedings of the 13th IEEE International Conference on Network Protocols (ICNP'2005), Boston, MA, U.S.A., November 2005. | August 2005
  
  Publication Publication
- Sigma: A Fault-Tolerant Mutual Exclusion Algorithm in Dynamic Distributed Systems Subject to Process Crashes and Memory Losses
  
  Wei Chen, Shi-Ding Lin, Qiao Lian, Zheng Zhang
  
  MSR-TR-2005-58 | May 2005
  
  Publication Publication
- On the Quality of Service of Failure Detectors
  
  Wei Chen, Sam Toueg, Marcos K. Aguilera
  
  IEEE Transaction on Computers, 51:5, May 2002, pp. 561-580. | May 2002
  
  Publication
- A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator
  
  Xiaobin Rui, Zhixiao Wang, Hao Peng, Wei Chen, Philip S. Yu
  
  IEEE Transactions on Knowledge and Data Engineering (TKDE) | May 2025
  
  PDF
- Scalable Fair Influence Maximization
  
  Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen
  
  Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS) | December 2023
  
  PDF Preprint
- Mitigating Filter Bubbles Under a Competitive Diffusion Model
  
  Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
  
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023
  
  PDF
- Scalable Adversarial Attack Algorithms on Influence Maximization
  
  Lichao Sun, Xiaobin Rui, Wei Chen
  
  Proceedings of the 16th ACM International WSDM Conference (WSDM) | February 2023
  
  PDF Preprint
- Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization
  
  Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao
  
  Journal of Artificial Intelligence Research | May 2022, Vol 74: pp. 303-351
  
  PDF
- Maximizing Social Welfare in a Competitive Diffusion Model
  
  Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
  
  VLDB 2021 | August 2021
  
  PDF Publication
- Online Influence Maximization under Linear Threshold Model
  
  Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen
  
  Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2020
  
  Some typos in the original NeurIPS'2020 paper have been fixed.
  
  PDF
- Scalable Lattice Influence Maximization
  
  Wei Chen, Ruihan Wu, Zheng Yu
  
  IEEE Transactions on Computational Social Systems | August 2020, Vol 7(4): pp. 956-970
  
  Author's Version
- Efficient Approximation Algorithms for Adaptive Influence Maximization
  
  Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim
  
  The VLDB Journal | June 2020
  
  Author's Version Publication
- 大数据网络传播模型和算法 (Network Diffusion Models and Algorithms for Big Data)
  
  Published by 人民邮电出版社 (Post & Telecom Press) | April 2020
  
  ISBN: 978-7-115-52554-3
  
  Publication
- Influence Maximization with Spontaneous User Adoption
  
  Lichao Sun, Albert Chen, Philip S. Yu, Wei Chen
  
  Proceedings of the 13th ACM International WSDM Conference (WSDM) | February 2020
  
  Publication
- Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization
  
  Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations
  
  Wei Chen, Weizhong Zhang, Haoyu Zhao
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Adaptive Influence Maximization with Myopic Feedback
  
  Binghui Peng, Wei Chen
  
  Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  PDF
- Complete Submodularity Characterization in the Comparative Independent Cascade Model
  
  Wei Chen, Hanrui Zhang
  
  Theoretical Computer Science | September 2019, Vol 786(27): pp. 78-87
  
  PDF Publication
- Factorization Bandits for Online Influence Maximization
  
  Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang
  
  Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2019), | August 2019
  
  PDF
- Maximizing Welfare in Social Networks under a Utility Driven Influence Diffusion Model
  
  Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
  
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD'2019) | June 2019
  
  PDF
- Cumulative Activation in Social Networks
  
  Xiaohan Shan, Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang
  
  Science China Information Sciences | May 2019, Vol 62
  
  PDF
- Multi-Round Influence Maximization
  
  Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen
  
  Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018), London, United Kingdom, August 2018 | June 2018
  
  PDF
- Boosting Information Spread: An Algorithmic Approach
  
  Yishi Lin, Wei Chen, John C. S. Lui
  
  IEEE Transactions on Computational Social Systems | April 2018, Vol 5(2): pp. 344-357
  
  PDF
- A Game Theoretic Model for the Formation of Navigable Small-World Networks — the Tradeoff between Distance and Reciprocity
  
  Zhi Yang, Wei Chen
  
  ACM Transactions on Internet Technology | April 2018
  
  PDF
- Complete Submodularity Characterization in the Comparative Independent Cascade Model
  
  Wei Chen, Hanrui Zhang
  
  In Proceedings of the 11th International Frontiers of Algorithmics Workshop (FAW'2017), Chengdu, China, June, 2017 | May 2017
  
  Publication Publication
- Boosting Information Spread: An Algorithmic Approach
  
  Yishi Lin, Wei Chen, John C. S. Lui
  
  Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE'2017), San Diego, U.S.A., April, 2017 | April 2017
  
  Publication
- Interplay between Social Influence and Network Centrality: A Comparative Study on Shapley Centrality and Single-Node-Influence Centrality
  
  Wei Chen, Shang-Hua Teng
  
  26th International World Wide Web Conference (WWW'2017), Perth, Australia, April, 2017 | April 2017
  
  PDF
- Assessing Percolation Threshold Based on High-Order Non-Backtracking Matrices
  
  Yuan Lin, Wei Chen, Zhongzhi Zhang
  
  26th International World Wide Web Conference (WWW'2017), Perth, Australia, April, 2017 | April 2017
  
  Publication
- Partitioned Sampling of Public Opinions Based on Their Social Dynamics
  
  Weiran Huang, Liang Li, Wei Chen
  
  Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'2017), San Francisco, San Francisco, California, USA, Feb. 2017 | February 2017
  
  Publication Publication
- Robust Influence Maximization
  
  Wei Chen, Tian Lin, Zihan Tan, Mingfei Zhao, Xuren Zhou
  
  In Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2016), San Francisco, U.S.A., August, 2016. | June 2016
  
  Publication Publication
- The Routing of Complex Contagion in Kleinberg’s Small-world Networks
  
  Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang
  
  Proceedings of the 22nd International Computing and Combinatorics Conference (COCOON'2016), Ho Chi Minh City, Vietnam, August, 2016. | June 2016
  
  Proceedings of the 22nd International Computing and Combinatorics Conference (COCOON'2016)
  
  Publication Publication
- Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms
  
  Wei Chen, Yajun Wang, Yang Yuan, Qinshi Wang
  
  Journal of Machine Learning Research | April 2016, Vol 17: pp. 1-33
  
  Publication
- Voter Model on Signed Social Networks
  
  Yanhua Li, Wei Chen, Yajun Wang, Zhi-Li Zhang
  
  Internet Mathematics | November 2015, Vol 11(2): pp. 93-133
  
  A preliminary version appears as "Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships", WSDM'2013.
  
  PDF
- From Competition to Complementarity: Comparative Influence Diffusion and Maximization
  
  Wei Lu, Wei Chen, Laks V.S. Lakshmanan
  
  Proceedings of the VLDB Sept., 2016 | November 2015
  
  Publication Publication
- 社交网络影响力传播研究 (Research on influence diffusion in social networks)
  
  Wei Chen
  
  大数据 (Big Data Research) | October 2015, Vol 1
- Real-time Topic-aware Influence Maximization Using Preprocessing
  
  Wei Chen, Tian Lin, Cheng Yang
  
  Computational Social Networks | August 2015, Vol 3(8)
  
  Best paper runner-up award at the 4th International Conference on Computational Social Networks (CSoNet'2015)
  
  Publication Publication Publication
- Combining Traditional Marketing and Viral Marketing with Amphibious Influence Maximization
  
  Wei Chen, Fu Li, Tian Lin, Aviad Rubinstein
  
  In Proceedings of the 16th ACM Conference on Economics and Computation (EC'2015), Portland, OR, U.S.A., June 2015. | June 2015
  
  Publication Publication
- A Game Theoretic Model for the Formation of Navigable Small-world Networks
  
  Zhi Yang, Wei Chen
  
  In Proceedings of the 24th International World Wide Web Conference (WWW'2015), Florence, Italy, May, 2015. | May 2015
  
  ISBN: ACM 978-1-4503-3469-3/15/05.
  
  Publication Publication Publication
- Diffusion of “following” Links in Microblogging Networks
  
  Jing Zhang, Zhanpeng Fang, Wei Chen, Jie Tang
  
  IEEE Transactions on Knowledge and Data Engineering | February 2015, Vol 37(8): pp. 2093
  
  Publication Publication
- Minimizing Seed Set Selection with Probabilistic Coverage Guarantee in a Social Network
  
  Peng Zhang, Wei Chen, Xiaoming Sun, Yajun Wang, Jialin Zhang
  
  Proceedings of 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2014) | August 2014
  
  Proceedings of 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2014)
  
  Publication Publication Publication
- Combinatorial Partial Monitoring Game with Linear Feedback and its Applications
  
  Tian Lin, Bruno Abrahao, Robert Kleinberg, John C. S. Lui, Wei Chen
  
  Proceedings of the 31st International Conference on Machine Learning (ICML'2014) | June 2014
  
  Publication Publication
- Prominent Features of Rumor Propagation in Online Social Media
  
  Sejeong Kwon, Meeyoung Cha, Kyomin Jung, Wei Chen, Yajun Wang
  
  In Proceedings of the 13th IEEE International Conference on Data Mining (ICDM'2013), Dallas, Texas, U.S.A., Dec. 2013. | December 2013
  
  Publication
- Information and Influence Propagation in Social Networks
  
  Wei Chen, Laks V.S. Lakshmanan, Carlos Castillo
  
  Published by Morgan & Claypool | October 2013 | Morgan & Claypool Synthesis Lectures on Data Management, Oct. 2013 edition
  
  Morgan & Claypool Synthesis Lectures on Data Management, Oct. 2013
  
  Publication
- On the Hyperbolicity of Small-world and Tree-like Random Graphs
  
  Wei Chen, Wenjie Fang, Guangda Hu, Michael W. Mahoney
  
  Internet Mathematics | September 2013, Vol 9(4)
  
  Extended abstract published in Proceedings of the 23rd International Symposium on Algorithms and Computation (ISAAC'2012), Taipei, December 2012.
  
  PDF Publication
- Maximizing Acceptance Probability for Active Friending in Online Social Networks
  
  De-Nian Yang, Hui-Ju Hung, Wang-Chien Lee, Wei Chen
  
  In Proceedings of 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2013), Chicago, Illinois, U.S.A., August, 2013. | August 2013
  
  Publication Publication
- Combinatorial Multi-Armed Bandit: General Framework, Results and Applications
  
  Wei Chen, Yajun Wang, Yang Yuan
  
  Proceedings of the 30th International Conference on Machine Learning (ICML'2013) | June 2013
  
  Publication Publication Publication
- Influence Diffusion Dynamics and Influence Maximization in Social Networks with Friend and Foe Relationships
  
  Yanhua Li, Wei Chen, Yajun Wang, Zhi-Li Zhang
  
  In Proceedings of the 6th International Conference on Web Search and Data Mining (WSDM'2013), Rome, Italy, Feb. 2013. | February 2013
  
  Publication Publication
- IRIE: Scalable and Robust Influence Maximization in Social Networks
  
  Kyomin Jung, Wooram Heo, Wei Chen
  
  In Proceedings of the 12th IEEE International Conference on Data Mining (ICDM'2012), Brussels, Belgium, December, 2012. | December 2012
  
  Winner of the 10-Year Highest-Impact Paper Award at ICDM'2021
  
  PDF
- Scalable Influence Maximization for Independent Cascade model in Large-scale Social Networks
  
  Chi Wang, Wei Chen, Yajun Wang
  
  Data Mining and Knowledge Discovery Journal | May 2012, Vol 25(3): pp. 545-576
  
  Publication
- Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model
  
  Xinran He, Guojie Song, Wei Chen, Qingye Jiang
  
  In Proceedings of the 12th SIAM International Conference on Data Mining (SDM'2012), Anaheim, CA, U.S.A., April, 2012. | April 2012
  
  Publication Publication
- Bounded Budget Betweenness Centrality Game for Strategic Network Formations
  
  Xiaohui Bei, Wei Chen, Shang-Hua Teng, Jialin Zhang, Jiajie Zhu
  
  Theoretical Computer Science, Vol. 412, Dec. 2011, 7147-7168. Extended abstract published in European Symposium of Algorithms (ESA), 2009. | December 2011, Vol 412: pp. 7147-7168
  
  Publication Publication Publication
- Relationship Classification in Large Scale OSN and its Impact on Information Propagation
  
  Shaojie Tang, Jing Yuan, Xufei Mao, Xiang-Yang Li, Wei Chen, Guojun Dai
  
  In Proceedings of the 30th IEEE International Conference on Computer Communications (INFOCOM'2011), Shanghai, China, April, 2011. | April 2011
  
  Publication
- Scalable influence maximization in social networks under the linear threshold model
  
  Wei Chen, Yifei Yuan, Li Zhang
  
  Proceedings of the 10th IEEE International Conference on Data Mining (ICDM'2010), Sydney, Australia | December 2010
  
  Publication Publication
- A Game-theoretic Framework to Identify Overlapping Communities in Social Networks
  
  Wei Chen, Zhenming Liu, Xiaorui Sun, Yajun Wang
  
  Data Mining and Knowledge Discovery Journal, special issue on ECML PKDD 2010, 21(2), September, 2010, pp. 224-240. | September 2010
  
  Winner of the best student paper award in data mining at ECML PKDD 2010.
  
  Publication
- Scalable Influence Maximization for Prevalent Viral Marketing in Large-Scale Social Networks
  
  Wei Chen, Chi Wang, Yajun Wang
  
  Proceedings of the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2010), Washington DC, U.S.A. | July 2010
  
  PDF Author's Version
- The Isolation Game: A Game of Distances
  
  Yingchao Zhao, Wei Chen, Shang-Hua Teng
  
  Theoretical Computer Science | November 2009, Vol 410(47-49): pp. 4905-4919
  
  An extended abstract appears in Proceedings of the 19th International Symposium on Algorithms and Computation ( ISAAC'2008), Gold Coast, Australia, Dec. 2008
  
  PDF
- Efficient Influence Maximization in Social Networks
  
  Wei Chen, Yajun Wang, Siyu Yang
  
  Proceedings of the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2009) | June 2009
  
  Publication
- Ranking of Closeness Centrality for Large-scale Social Networks
  
  Kazuya Okamoto, Wei Chen, Xiang-Yang Li
  
  Proceedings of the 2nd International Frontiers of Algorithmics Workshop (FAW'2008), Changsha, China, June 2008. | June 2008
  
  Publication
- Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
  
  Tianchi Xie, Jiangning Zhu, Guozu Ma, Minzhi Lin, Wei Chen, Weikai Yang, Shixia Liu
  
  Proceedings of the 13th International Conference on Learning Representations (ICLR) | April 2025
  
  PDF
- Uncovering Milestone Papers: A Network Diffusion and Game Theory Approach
  
  Wei Zhang, Juyang Cao, Manuel Sebastian Mariani, Zhen-Zhen Wang, Mingyang Zhou, Wei Chen, Hao Liao
  
  Journal of Informetrics | August 2024, Vol 18(3)
  
  Publication
- Mitigating Filter Bubbles Under a Competitive Diffusion Model
  
  Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
  
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023
  
  PDF
- Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation
  
  Hao Liao, Sheng Bi, Jiao Wu, Wei Zhang, Mingyang Zhou, Rui Mao, Wei Chen
  
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023
  
  PDF
- Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback
  
  Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang
  
  Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI) | February 2022
  
  This version fixed some bugs contained in the published version. See footnote in the first page.
  
  PDF
- Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning
  
  Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui
  
  2021 International Conference on Machine Learning (ICML) | July 2021
  
  PDF Publication
- Network Inference and Influence Maximization from Samples
  
  Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang
  
  2021 International Conference on Machine Learning (ICML) | July 2021
  
  PDF Publication
- Efficient Approximation Algorithms for Adaptive Influence Maximization
  
  Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim
  
  The VLDB Journal | June 2020
  
  Author's Version Publication
- 大数据网络传播模型和算法 (Network Diffusion Models and Algorithms for Big Data)
  
  Published by 人民邮电出版社 (Post & Telecom Press) | April 2020
  
  ISBN: 978-7-115-52554-3
  
  Publication
- A Graph-Theoretical Basis of Stochastic-Cascading Network Influence: Characterizations of Influence-Based Centrality
  
  Wei Chen, Shang-Hua Teng, Hanrui Zhang
  
  Theoretical Computer Science | April 2020
  
  PDF
- Cumulative Activation in Social Networks
  
  Xiaohan Shan, Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang
  
  Science China Information Sciences | May 2019, Vol 62
  
  PDF
- Multi-Round Influence Maximization
  
  Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen
  
  Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018), London, United Kingdom, August 2018 | June 2018
  
  PDF
- A Game Theoretic Model for the Formation of Navigable Small-World Networks — the Tradeoff between Distance and Reciprocity
  
  Zhi Yang, Wei Chen
  
  ACM Transactions on Internet Technology | April 2018
  
  PDF
- Boosting Information Spread: An Algorithmic Approach
  
  Yishi Lin, Wei Chen, John C. S. Lui
  
  Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE'2017), San Diego, U.S.A., April, 2017 | April 2017
  
  Publication
- Interplay between Social Influence and Network Centrality: A Comparative Study on Shapley Centrality and Single-Node-Influence Centrality
  
  Wei Chen, Shang-Hua Teng
  
  26th International World Wide Web Conference (WWW'2017), Perth, Australia, April, 2017 | April 2017
  
  PDF
- Diffusion of “following” Links in Microblogging Networks
  
  Jing Zhang, Zhanpeng Fang, Wei Chen, Jie Tang
  
  IEEE Transactions on Knowledge and Data Engineering | February 2015, Vol 37(8): pp. 2093
  
  Publication Publication
- Scalable Influence Maximization for Independent Cascade model in Large-scale Social Networks
  
  Chi Wang, Wei Chen, Yajun Wang
  
  Data Mining and Knowledge Discovery Journal | May 2012, Vol 25(3): pp. 545-576
  
  Publication
- Protector: A Probabilistic Failure Detector for Cost-effective Peer-to-peer Storage
  
  Zhi Yang, Jing Tian, Ben Y. Zhao, Wei Chen, Yafei Dai
  
  IEEE Transactions on Parallel and Distributed Systems | November 2010, Vol 22
  
  Publication Publication
- Probabilistic Failure Detection for Efficient Distributed Storage Maintenance
  
  Jing Tian, Zhi Yang, Wei Chen, Ben Y. Zhao, Yafei Dai
  
  October 2008
  
  Publication
- BitVault: a Highly Reliable Distributed Data Retention Platform
  
  Zheng Zhang, Qiao Lian, Shiding Lin, Wei Chen, Yu Chen, Chao Jin
  
  MSR-TR-2005-179 | December 2005
  
  Publication
- Mechanism Design for LLM Fine-tuning with Multiple Reward Models
  
  Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng
  
  Neural Information Processing Systems (NeurIPS) 2025 | December 2025
  
  PDF
- Convergence to Equilibrium of No-regret Dynamics in Congestion Games
  
  Volkan Cevher, Wei Chen, Leello Dadi, Jing Dong, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Baoxiang Wang, Siwei Wang, Jingyu Wu
  
  Conference on Web and Internet Economics (WINE) | December 2024
  
  PDF Publication
- Coreness of cooperative games with truncated submodular profit functions
  
  Wei Chen, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
  
  Theoretical Computer Science | June 2020, Vol 822: pp. 49-60
  
  PDF DOI
- 大数据网络传播模型和算法 (Network Diffusion Models and Algorithms for Big Data)
  
  Published by 人民邮电出版社 (Post & Telecom Press) | April 2020
  
  ISBN: 978-7-115-52554-3
  
  Publication
- Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting
  
  Haoyu Zhao, Wei Chen
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations
  
  Wei Chen, Weizhong Zhang, Haoyu Zhao
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Adaptive Influence Maximization with Myopic Feedback
  
  Binghui Peng, Wei Chen
  
  Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  PDF
- Stochastic One-Sided Full-Information Bandit
  
  Haoyu Zhao, Wei Chen
  
  Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'2019) | September 2019
  
  PDF
- Capturing Complementarity in Set Functions by Going Beyond Submodularity/Subadditivity
  
  Wei Chen, Shang-Hua Teng, Hanrui Zhang
  
  Proceedings of the 10th Innovations in Theoretical Computer Science Conference (ITCS'2019) | January 2019
  
  PDF
- Coreness of Cooperative Games with Truncated Submodular Profit Functions (2018)
  
  Wei Chen, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
  
  2018 Algorithmic Game Theory | September 2018
  
  DOI Publication
- Complete Submodularity Characterization in the Comparative Independent Cascade Model
  
  Wei Chen, Hanrui Zhang
  
  In Proceedings of the 11th International Frontiers of Algorithmics Workshop (FAW'2017), Chengdu, China, June, 2017 | May 2017
  
  Publication Publication
- Learning Market Parameters Using Aggregate Demand Queries
  
  Xiaohui Bei, Wei Chen, Jugal Garg, Martin Hoefer, Xiaoming Sun
  
  Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'2016), Phoenix, U.S.A., February, 2016. | February 2016
  
  Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI’2016)
  
  Publication
- From Competition to Complementarity: Comparative Influence Diffusion and Maximization
  
  Wei Lu, Wei Chen, Laks V.S. Lakshmanan
  
  Proceedings of the VLDB Sept., 2016 | November 2015
  
  Publication Publication
- 社交网络影响力传播研究 (Research on influence diffusion in social networks)
  
  Wei Chen
  
  大数据 (Big Data Research) | October 2015, Vol 1
- Combining Traditional Marketing and Viral Marketing with Amphibious Influence Maximization
  
  Wei Chen, Fu Li, Tian Lin, Aviad Rubinstein
  
  In Proceedings of the 16th ACM Conference on Economics and Computation (EC'2015), Portland, OR, U.S.A., June 2015. | June 2015
  
  Publication Publication
- A Game Theoretic Model for the Formation of Navigable Small-world Networks
  
  Zhi Yang, Wei Chen
  
  In Proceedings of the 24th International World Wide Web Conference (WWW'2015), Florence, Italy, May, 2015. | May 2015
  
  ISBN: ACM 978-1-4503-3469-3/15/05.
  
  Publication Publication Publication
- Combinatorial Partial Monitoring Game with Linear Feedback and its Applications
  
  Tian Lin, Bruno Abrahao, Robert Kleinberg, John C. S. Lui, Wei Chen
  
  Proceedings of the 31st International Conference on Machine Learning (ICML'2014) | June 2014
  
  Publication Publication
- Information and Influence Propagation in Social Networks
  
  Wei Chen, Laks V.S. Lakshmanan, Carlos Castillo
  
  Published by Morgan & Claypool | October 2013 | Morgan & Claypool Synthesis Lectures on Data Management, Oct. 2013 edition
  
  Morgan & Claypool Synthesis Lectures on Data Management, Oct. 2013
  
  Publication
- The Isolation Game: A Game of Distances
  
  Yingchao Zhao, Wei Chen, Shang-Hua Teng
  
  Theoretical Computer Science | November 2009, Vol 410(47-49): pp. 4905-4919
  
  An extended abstract appears in Proceedings of the 19th International Symposium on Algorithms and Computation ( ISAAC'2008), Gold Coast, Australia, Dec. 2008
  
  PDF
- 大数据网络传播模型和算法 (Network Diffusion Models and Algorithms for Big Data)
  
  Published by 人民邮电出版社 (Post & Telecom Press) | April 2020
  
  ISBN: 978-7-115-52554-3
  
  Publication
- Assessing Percolation Threshold Based on High-Order Non-Backtracking Matrices
  
  Yuan Lin, Wei Chen, Zhongzhi Zhang
  
  26th International World Wide Web Conference (WWW'2017), Perth, Australia, April, 2017 | April 2017
  
  Publication
- The Routing of Complex Contagion in Kleinberg’s Small-world Networks
  
  Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang
  
  Proceedings of the 22nd International Computing and Combinatorics Conference (COCOON'2016), Ho Chi Minh City, Vietnam, August, 2016. | June 2016
  
  Proceedings of the 22nd International Computing and Combinatorics Conference (COCOON'2016)
  
  Publication Publication
- On the Hyperbolicity of Small-world and Tree-like Random Graphs
  
  Wei Chen, Wenjie Fang, Guangda Hu, Michael W. Mahoney
  
  Internet Mathematics | September 2013, Vol 9(4)
  
  Extended abstract published in Proceedings of the 23rd International Symposium on Algorithms and Computation (ISAAC'2012), Taipei, December 2012.
  
  PDF Publication
- Model Checking Linearizability via Refinement
  
  Yang Liu, Yanghong A. Liu, Jun Sun, Wei Chen
  
  Proceedings of the 16th International Symposium on Formal Methods (FM'2009), Eindhoven, the Netherlands, Nov. 2009. | March 2009
  
  Publication
- Note on the Hardness of Bounded Budget Betweenness Centrality Game with Path Length Constraints
  
  Xiaohui Bei, Wei Chen, Jialin Zhang
  
  MSR-TR-2009-10 | February 2009
  
  Publication
- On the Quality of Service of Failure Detectors
  
  Wei Chen, Sam Toueg, Marcus K. Aguilera
  
  In Proceedings of the International Conference on Dependable Systems and Networks (DSN'2000), New York, NY, USA, IEEE Computer Society and IFIP WG 10.4, June 2000, pp. 191-200. | June 2000
  
  Winner of the William C. Carter Award
  
  Publication
- Using the Heartbeat Failure Detector for Quiescent Reliable Communication and Consensus in Partitionable Networks
  
  Wei Chen
  
  Theoretical Computer Science, Elsevier Science, invited paper in the special issue on distributed algorithms, 220:1, June 1999, pp. 3-30. | June 1999
  
  Publication
- Heartbeat: A Timeout-free Failure Detector for Quiescent Reliable Communication
  
  Wei Chen
  
  In Proceedings of the 11th International Workshop on Distributed Algorithms (WDAG'97), Saarbruecken, Germany, Lecture Notes on Computer Science 1320, Springer-Verlag, September 1997, pp. 126-140. | September 1997
  
  Publication
- A Compact Routing Scheme and Approximate Distance Oracle for Power-Law Graphs
  
  Wei Chen, Christian Sommer, Shang-Hua Teng, Yajun Wang
  
  ACM Transactions on Algorithms 9(1): 4 (2012). Extended abstract published in Distributed Computing (DISC), 2009. | September 2012, Vol 9
  
  Publication Publication Publication
- Protector: A Probabilistic Failure Detector for Cost-effective Peer-to-peer Storage
  
  Zhi Yang, Jing Tian, Ben Y. Zhao, Wei Chen, Yafei Dai
  
  IEEE Transactions on Parallel and Distributed Systems | November 2010, Vol 22
  
  Publication Publication
- Quorum-Based Perfect Failure Detection Service
  
  Wei Chen, Xuezheng Liu, Lidong Zhou, Yunni Xia
  
  MSR-TR-2009-62 | May 2009
  
  Publication
- Failure Detectors and Extended Paxos for k-Set Agreement
  
  Wei Chen, Jialin Zhang, Yu Chen, Xuezheng Liu
  
  Proceedings of the 13th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC'2007), Melbourne, Australia, Dec. 2007. | December 2007
  
  Proceedings of the 13th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC'2007)
  
  Publication Publication
- Decentralized, Connectivity-Preserving, and Cost-Effective Structured Overlay Maintenance
  
  Yu Chen, Wei Chen
  
  November 2007
  
  Publication Publication
- Enforcing Routing Consistency in Structured Peer-to-Peer Overlays: Should We and Could We?
  
  Wei Chen, Xuezheng Liu
  
  February 2006
  
  Publication
- Distributed soft-state index management in BitVault — protocols and its correctness
  
  Wei Chen, Zheng Zhang
  
  MSR-TR-2005-88 | September 2005
  
  Publication
- Z-Ring: Fast Prefix Routing via a Low Maintenance Membership Protocol
  
  Qiao Lian, Wei Chen, Zheng Zhang, Shaomei Wu, Ben Y Zhao
  
  Proceedings of the 13th IEEE International Conference on Network Protocols (ICNP'2005), Boston, MA, U.S.A., November 2005. | August 2005
  
  Publication Publication
- On the Impact of Replica Placement to the Reliability of Distributed Brick Storage System
  
  Wei Chen, Zheng Zhang
  
  June 2005
  
  Publication Publication
- On the impact of replica placement to the reliability of distributed brick storage systems
  
  Qiao Lian, Wei Chen, Zheng Zhang
  
  MSR-TR-2005-71 | June 2005
  
  Publication Publication
- Participation Maximization Based on Social Influence in Online Discussion Forums
  
  Tao Sun, Wei Chen, Yajun Wang, Xiaorui Sun, Chin-Yew Lin, Ming Zhang
  
  Proceedings of the 5th International AAAI Conference on Weblogs and Social Media (ICWSM'2011), Barcelona, Spain, July 2011 | October 2011
  
  Publication Publication
- An Analytical Framework and Its Applications for Studying Brick Storage Reliability
  
  Ming Chen, Likun Liu, Wei Chen, Zheng Zhang
  
  October 2007
  
  Publication Publication
- On Failure Detectors Weaker Than Ever
  
  Wei Chen, Yu Chen, Jialin Zhang
  
  MSR-TR-2007-50 | May 2007
  
  Publication

- SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits
  
  Edward Lin, Sahil Modi, S. Hari, Qijing Huang, Zhifan Ye, N. Qin, Fengzhe Zhou, Yuan Zhang, Jingquan Wang, S. Damani, Dheeraj Peri, Ouye Xie, Aditya Kane, Moshe Maor, M. Behar, Triston Cao, Rishabh Mehta, Vartika Singh, Vikram Sharma Mailthody, Te-Wei Chen, Zihao Ye, Hanfeng Chen, Tianqi Chen, Vinod Grover, Wei Chen, Wei Liu, Eric Chung, L. Ceze, Roger A. Bringmann, C. Zeller, M.F. Lightstone, Christos Kozyrakis, Humphrey Shi
  
  March 2026
  
  Publication
- Hybrid Combinatorial Multi-armed Bandits with Probabilistically Triggered Arms
  
  Kongchang Zhou, Tingyu Zhang, Wei Chen, Fang Kong
  
  December 2025
  
  Publication
- Multi-Play Combinatorial Semi-Bandit Problem
  
  Shintaro Nakamura, Yuko Kuroki, Wei Chen, Wei Chen
  
  September 2025
  
  Publication
- On the Quality of Service of Failure Detectors
  
  Wei Chen, Sam Toueg, Marcus K. Aguilera
  
  In Proceedings of the International Conference on Dependable Systems and Networks (DSN'2000), New York, NY, USA, IEEE Computer Society and IFIP WG 10.4, June 2000, pp. 191-200. | June 2000
  
  Winner of the William C. Carter Award
  
  Publication
- Failure Detection and Consensus in the Crash-recovery Model
  
  Wei Chen
  
  Distributed Computing, Springer-Verlag, 13:2, April 2000, pp. 99-125. | April 2000
  
  Publication
- On Quiescent Reliable Communication
  
  Wei Chen
  
  SIAM Journal on Computing, 29:6, April 2000, pp. 2040-2073. | April 2000
  
  Publication
- Using the Heartbeat Failure Detector for Quiescent Reliable Communication and Consensus in Partitionable Networks
  
  Wei Chen
  
  Theoretical Computer Science, Elsevier Science, invited paper in the special issue on distributed algorithms, 220:1, June 1999, pp. 3-30. | June 1999
  
  Publication
- Failure Detection and Consensus in the Crash-recovery Model
  
  Marcos K. Aguilera, Wei Chen, Sam Toueg
  
  In Proceedings of the 12th International Symposium on Distributed Computing (DISC'98), Andros, Greece, Lecture Notes on Computer Science 1499, Springer-Verlag, September 1998, pp. 231-245. | September 1998
  
  Publication
- Heartbeat: A Timeout-free Failure Detector for Quiescent Reliable Communication
  
  Wei Chen
  
  In Proceedings of the 11th International Workshop on Distributed Algorithms (WDAG'97), Saarbruecken, Germany, Lecture Notes on Computer Science 1320, Springer-Verlag, September 1997, pp. 126-140. | September 1997
  
  Publication
- Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation
  
  Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C.S. Lui, Wei Chen, Carlee Joe-Wong
  
  IEEE International Conference on Computer Communications (INFOCOM) | May 2026
  
  PDF Preprint
- Latent-DARM: Bridging Discrete Diffusion and Autoregressive Models for Reasoning
  
  Lina Berrayana, Ahmed Heakl, Muhammad Abdullah Sohail, Thomas Hofmann, Salman Khan, Wei Chen
  
  Proceedings of Workshop on Latent & Implicit Thinking – Going Beyond CoT Reasoning (LIT), the 14th International Conference on Learning Representations (ICLR) | April 2026
  
  PDF Preprint
- Combinatorial Rising Bandits
  
  Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  ICLR 2026 | April 2026
  
  PDF Preprint
- Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
  
  Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen
  
  ICLR 2026 | April 2026
  
  PDF Preprint
- Mechanism Design for LLM Fine-tuning with Multiple Reward Models
  
  Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng
  
  Neural Information Processing Systems (NeurIPS) 2025 | December 2025
  
  PDF
- Offline Learning for Combinatorial Multi-armed Bandits
  
  Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025
  
  PDF
- Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
  
  Tianchi Xie, Jiangning Zhu, Guozu Ma, Minzhi Lin, Wei Chen, Weikai Yang, Shixia Liu
  
  Proceedings of the 13th International Conference on Learning Representations (ICLR) | April 2025
  
  PDF
- Convergence to Equilibrium of No-regret Dynamics in Congestion Games
  
  Volkan Cevher, Wei Chen, Leello Dadi, Jing Dong, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Baoxiang Wang, Siwei Wang, Jingyu Wu
  
  Conference on Web and Internet Economics (WINE) | December 2024
  
  PDF Publication
- Combinatorial Causal Bandits without Graph Skeleton
  
  Shi Feng, Nuoya Xiong, Wei Chen
  
  Proceedings of the 16th Asian Conference on Machine Learning (ACML) | December 2024
  
  PDF
- Query-Efficient Correlation Clustering with Noisy Oracle
  
  Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen
  
  NeurIPS 2024 | December 2024
  
  PDF DOI
- Can Graph Learning Improve Task Planning?
  
  Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
  
  Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
  
  Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen
  
  Proceedings of the 41st International Conference on Machine Learning (ICML) | July 2024
  
  PDF
- Combinatorial Bandits for Maximum Value Reward Function under Value-index Feedback
  
  Yiliu Wang, Wei Chen, Milan Vojnovic
  
  Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024
  
  PDF
- Cascading Reinforcement Learning
  
  Yihan Du, R. Srikant, Wei Chen
  
  Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024
  
  PDF
- Scalable Fair Influence Maximization
  
  Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen
  
  Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS) | December 2023
  
  PDF Preprint
- Multi-Fidelity Multi-Armed Bandits Revisited
  
  Xuchuang Wang, Qingyun Wu, Wei Chen, John C.S. Lui
  
  Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS) | December 2023
  
  PDF Preprint
- Contextual Combinatorial Bandits with Probabilistically Triggered Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
  
  Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
  
  PDF Preprint
- Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
  
  Zongqi Wan, Jialin Zhang, Wei Chen, Xiaoming Sun, Zhijie Zhang
  
  Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
  
  PDF Preprint
- Mitigating Filter Bubbles Under a Competitive Diffusion Model
  
  Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
  
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023
  
  PDF
- Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation
  
  Hao Liao, Sheng Bi, Jiao Wu, Wei Zhang, Mingyang Zhou, Rui Mao, Wei Chen
  
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023
  
  PDF
- Collaborative Pure Exploration in Kernel Bandit
  
  Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang
  
  Proceedings of the 11th International Conference on Learning Representations (ICLR) | May 2023
  
  PDF
- Combinatorial Pure Exploration of Causal Bandits
  
  Nuoya Xiong, Wei Chen
  
  Proceedings of the 11th International Conference on Learning Representations (ICLR) | May 2023
  
  PDF
- Combinatorial Causal Bandits
  
  Shi Feng, Wei Chen
  
  Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI) | February 2023
  
  PDF Preprint
- Scalable Adversarial Attack Algorithms on Influence Maximization
  
  Lichao Sun, Xiaobin Rui, Wei Chen
  
  Proceedings of the 16th ACM International WSDM Conference (WSDM) | February 2023
  
  PDF Preprint
- Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022
  
  PDF
- Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret
  
  Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu
  
  Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022
  
  PDF
- Branching Reinforcement Learning
  
  Yihan Du, Wei Chen
  
  Proceedings of the 39th International Conference on Machine Learning (ICML) | July 2022
  
  PDF Preprint
- Online Competitive Influence Maximization
  
  Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) | March 2022
  
  PDF
- Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback
  
  Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang
  
  Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI) | February 2022
  
  This version fixed some bugs contained in the published version. See footnote in the first page.
  
  PDF
- Combinatorial Pure Exploration with Bottleneck Reward Function
  
  Yihan Du, Yuko Kuroki, Wei Chen
  
  Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
  
  PDF Publication
- The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle
  
  Fang Kong, Yueran Yang, Wei Chen, Shuai Li
  
  Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
  
  PDF Publication
- Causal Inference for Influence Propagation — Identifiability of the Independent Cascade Model
  
  Shi Feng, Wei Chen
  
  Proceedings of the 10th International Conference on Computational Social Networks (CSoNet'2021) | November 2021
  
  Winner of the sole Best Paper Award
  
  PDF
- Maximizing Social Welfare in a Competitive Diffusion Model
  
  Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
  
  VLDB 2021 | August 2021
  
  PDF Publication
- Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning
  
  Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui
  
  2021 International Conference on Machine Learning (ICML) | July 2021
  
  PDF Publication
- Network Inference and Influence Maximization from Samples
  
  Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang
  
  2021 International Conference on Machine Learning (ICML) | July 2021
  
  PDF Publication
- Combinatorial Semi-Bandit in the Non-Stationary Environment
  
  Wei Chen, Liwei Wang, Haoyu Zhao, Kai Zheng
  
  Conference on Uncertainty in Artificial Intelligence (UAI) 2021 | June 2021
  
  PDF Publication
- Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback
  
  Yihan Du, Yuko Kuroki, Wei Chen
  
  Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI) | February 2021
  
  PDF
- Online Influence Maximization under Linear Threshold Model
  
  Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen
  
  Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2020
  
  Some typos in the original NeurIPS'2020 paper have been fixed.
  
  PDF
- Optimization from Structured Samples for Coverage Functions
  
  Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang
  
  Proceedings of the 37th International Conference on Machine Learning, (ICML) | July 2020
  
  PDF
- (Locally) Differentially Private Combinatorial Semi-Bandits
  
  Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang
  
  Proceedings of the 37th International Conference on Machine Learning (ICML) | July 2020
  
  Publication PDF
- Combinatorial Pure Exploration for Dueling Bandits
  
  Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao
  
  Proceedings of the 37th International Conference on Machine Learning (ICML) | July 2020
  
  PDF Author's Version
- Influence Maximization with Spontaneous User Adoption
  
  Lichao Sun, Albert Chen, Philip S. Yu, Wei Chen
  
  Proceedings of the 13th ACM International WSDM Conference (WSDM) | February 2020
  
  Publication
- Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization
  
  Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Stochastic Online Learning with Probabilistic Graph Feedback
  
  Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting
  
  Haoyu Zhao, Wei Chen
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations
  
  Wei Chen, Weizhong Zhang, Haoyu Zhao
  
  Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI) | February 2020
  
  PDF
- Adaptive Influence Maximization with Myopic Feedback
  
  Binghui Peng, Wei Chen
  
  Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2019
  
  PDF
- On Adaptivity Gaps of Influence Maximization under the Independent Cascade Model with Full-Adoption Feedback
  
  Wei Chen, Binghui Peng
  
  Proceedings of the 30th International Symposium on Algorithms and Computation (ISAAC'2019) | December 2019
  
  PDF
- Stochastic One-Sided Full-Information Bandit
  
  Haoyu Zhao, Wei Chen
  
  Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'2019) | September 2019
  
  PDF
- Improved Algorithm on Online Clustering of Bandits
  
  Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung
  
  Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'2019) | August 2019
  
  PDF
- Factorization Bandits for Online Influence Maximization
  
  Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang
  
  Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2019), | August 2019
  
  PDF
- Maximizing Welfare in Social Networks under a Utility Driven Influence Diffusion Model
  
  Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
  
  Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD'2019) | June 2019
  
  PDF
- Capturing Complementarity in Set Functions by Going Beyond Submodularity/Subadditivity
  
  Wei Chen, Shang-Hua Teng, Hanrui Zhang
  
  Proceedings of the 10th Innovations in Theoretical Computer Science Conference (ITCS'2019) | January 2019
  
  PDF
- Community Exploration: From Offline Optimization to Online Learning
  
  Xiaowei Chen, Weiran Huang, Wei Chen, John C. S. Lui
  
  Proceedings of the 32nd Annual Conference on Neural Information Processing Systems (NeurIPS'2018) | December 2018
  
  PDF
- An Issue in the Martingale Analysis of the Influence Maximization Algorithm IMM
  
  Wei Chen
  
  Proceedings of the 7th International Conference on Computational Social Networks (CSoNet'2018) | December 2018
  
  PDF
- Coreness of Cooperative Games with Truncated Submodular Profit Functions (2018)
  
  Wei Chen, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
  
  2018 Algorithmic Game Theory | September 2018
  
  DOI Publication
- Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach.
  
  Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen
  
  Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18) | July 2018
  
  Publication
- Thompson Sampling for Combinatorial Semi-Bandits
  
  Siwei Wang, Wei Chen
  
  Proceedings of the 35th International Conference on Machine Learning (ICML'2018) | July 2018
  
  PDF
- Multi-Round Influence Maximization
  
  Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen
  
  Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018), London, United Kingdom, August 2018 | June 2018
  
  PDF
- Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications
  
  Weiran Huang, Jungseul Ok, Liang Li, Wei Chen
  
  Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'2018) | May 2018
  
  PDF
- Influence Maximization with epsilon-Almost Submodular Threshold Functions
  
  Qiang Li, Wei Chen, Xiaoming Sun, Jialin Zhang
  
  Proceedings of the 31st Annual Conference on Advances in Neural Information Processing Systems (NIPS'2017) | September 2017
  
  PDF
- Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications
  
  Qinshi Wang, Wei Chen
  
  Proceedings of the 31st Annual Conference on Advances in Neural Information Processing Systems (NIPS'2017) | September 2017
  
  PDF
- Complete Submodularity Characterization in the Comparative Independent Cascade Model
  
  Wei Chen, Hanrui Zhang
  
  In Proceedings of the 11th International Frontiers of Algorithmics Workshop (FAW'2017), Chengdu, China, June, 2017 | May 2017
  
  Publication Publication
- Boosting Information Spread: An Algorithmic Approach
  
  Yishi Lin, Wei Chen, John C. S. Lui
  
  Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE'2017), San Diego, U.S.A., April, 2017 | April 2017
  
  Publication
- Interplay between Social Influence and Network Centrality: A Comparative Study on Shapley Centrality and Single-Node-Influence Centrality
  
  Wei Chen, Shang-Hua Teng
  
  26th International World Wide Web Conference (WWW'2017), Perth, Australia, April, 2017 | April 2017
  
  PDF
- Assessing Percolation Threshold Based on High-Order Non-Backtracking Matrices
  
  Yuan Lin, Wei Chen, Zhongzhi Zhang
  
  26th International World Wide Web Conference (WWW'2017), Perth, Australia, April, 2017 | April 2017
  
  Publication
- Partitioned Sampling of Public Opinions Based on Their Social Dynamics
  
  Weiran Huang, Liang Li, Wei Chen
  
  Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'2017), San Francisco, San Francisco, California, USA, Feb. 2017 | February 2017
  
  Publication Publication
- Combinatorial Multi-Armed Bandit with General Reward Functions
  
  Wei Chen, Wei Hu, Fu Li, Jian Li, Yu Liu, Pinyan Lu
  
  Proceedings of the 30th Annual Conference on Advances in Neural Information Processing Systems (NIPS'2016) | December 2016
  
  PDF
- Robust Influence Maximization
  
  Wei Chen, Tian Lin, Zihan Tan, Mingfei Zhao, Xuren Zhou
  
  In Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2016), San Francisco, U.S.A., August, 2016. | June 2016
  
  Publication Publication
- The Routing of Complex Contagion in Kleinberg’s Small-world Networks
  
  Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang
  
  Proceedings of the 22nd International Computing and Combinatorics Conference (COCOON'2016), Ho Chi Minh City, Vietnam, August, 2016. | June 2016
  
  Proceedings of the 22nd International Computing and Combinatorics Conference (COCOON'2016)
  
  Publication Publication
- Contextual Combinatorial Cascading Bandits
  
  Shuai Li, Baoxiang Wang, Shengyu Zhang, Wei Chen
  
  Proceedings of the 33rd International Conference on Machine Learning (ICML'2016) | June 2016
  
  Publication Publication
- Learning Market Parameters Using Aggregate Demand Queries
  
  Xiaohui Bei, Wei Chen, Jugal Garg, Martin Hoefer, Xiaoming Sun
  
  Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'2016), Phoenix, U.S.A., February, 2016. | February 2016
  
  Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI’2016)
  
  Publication
- Stochastic Online Greedy Learning with Semi-bandit Feedbacks
  
  Tian Lin, Jian Li, Wei Chen
  
  Proceedings of the 29th Annual Conference on Advances in Neural Information Processing Systems (NIPS'2015) | December 2015
  
  PDF
- From Competition to Complementarity: Comparative Influence Diffusion and Maximization
  
  Wei Lu, Wei Chen, Laks V.S. Lakshmanan
  
  Proceedings of the VLDB Sept., 2016 | November 2015
  
  Publication Publication
- Combining Traditional Marketing and Viral Marketing with Amphibious Influence Maximization
  
  Wei Chen, Fu Li, Tian Lin, Aviad Rubinstein
  
  In Proceedings of the 16th ACM Conference on Economics and Computation (EC'2015), Portland, OR, U.S.A., June 2015. | June 2015
  
  Publication Publication
- A Game Theoretic Model for the Formation of Navigable Small-world Networks
  
  Zhi Yang, Wei Chen
  
  In Proceedings of the 24th International World Wide Web Conference (WWW'2015), Florence, Italy, May, 2015. | May 2015
  
  ISBN: ACM 978-1-4503-3469-3/15/05.
  
  Publication Publication Publication
- Combinatorial Pure Exploration of Multi-Armed Bandits
  
  Shouyuan Chen, Tian Lin, Irwin King, Michael R. Lyu, Wei Chen
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS'2014) | December 2014
  
  The PDF download link contains some bug fixes to the original paper.
  
  PDF
- Minimizing Seed Set Selection with Probabilistic Coverage Guarantee in a Social Network
  
  Peng Zhang, Wei Chen, Xiaoming Sun, Yajun Wang, Jialin Zhang
  
  Proceedings of 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2014) | August 2014
  
  Proceedings of 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2014)
  
  Publication Publication Publication
- Combinatorial Partial Monitoring Game with Linear Feedback and its Applications
  
  Tian Lin, Bruno Abrahao, Robert Kleinberg, John C. S. Lui, Wei Chen
  
  Proceedings of the 31st International Conference on Machine Learning (ICML'2014) | June 2014
  
  Publication Publication
- Prominent Features of Rumor Propagation in Online Social Media
  
  Sejeong Kwon, Meeyoung Cha, Kyomin Jung, Wei Chen, Yajun Wang
  
  In Proceedings of the 13th IEEE International Conference on Data Mining (ICDM'2013), Dallas, Texas, U.S.A., Dec. 2013. | December 2013
  
  Publication
- On the Power of Breakable Objects
  
  Wei Chen, Guangda Hu, Jialin Zhang
  
  Theoretical Computer Science, 503, Sept. 2013. | September 2013
  
  Publication Publication
- Maximizing Acceptance Probability for Active Friending in Online Social Networks
  
  De-Nian Yang, Hui-Ju Hung, Wang-Chien Lee, Wei Chen
  
  In Proceedings of 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2013), Chicago, Illinois, U.S.A., August, 2013. | August 2013
  
  Publication Publication
- Verifying Linearizability via Optimized Refinement Checking
  
  Yang Liu, Wei Chen, Yanhong A. Liu, Jun Sun, Shao Jie Zhang, Jin Song Dong
  
  IEEE Transactions on Software Engineering, 39(7), July 2013. | July 2013
  
  Publication
- Combinatorial Multi-Armed Bandit: General Framework, Results and Applications
  
  Wei Chen, Yajun Wang, Yang Yuan
  
  Proceedings of the 30th International Conference on Machine Learning (ICML'2013) | June 2013
  
  Publication Publication Publication
- Sybil-proof Mechanisms in Query Incentive Networks
  
  Wei Chen, Yajun Wang, Dongxiao Yu, Li Zhang
  
  Proceedings of ACM Conference on Electronic Commerce | June 2013
  
  Publication Publication
- Influence Diffusion Dynamics and Influence Maximization in Social Networks with Friend and Foe Relationships
  
  Yanhua Li, Wei Chen, Yajun Wang, Zhi-Li Zhang
  
  In Proceedings of the 6th International Conference on Web Search and Data Mining (WSDM'2013), Rome, Italy, Feb. 2013. | February 2013
  
  Publication Publication
- IRIE: Scalable and Robust Influence Maximization in Social Networks
  
  Kyomin Jung, Wooram Heo, Wei Chen
  
  In Proceedings of the 12th IEEE International Conference on Data Mining (ICDM'2012), Brussels, Belgium, December, 2012. | December 2012
  
  Winner of the 10-Year Highest-Impact Paper Award at ICDM'2021
  
  PDF
- Time-critical Influence Maximization in Social Networks with Time-delayed Diffusion Process
  
  Wei Chen, Wei Lu, Ning Zhang
  
  In Proceedings of the 26th Conference on Artificial Intelligence (AAAI'2012), Toronto, Canada, July 2012. | July 2012
  
  Publication Publication
- Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model
  
  Xinran He, Guojie Song, Wei Chen, Qingye Jiang
  
  In Proceedings of the 12th SIAM International Conference on Data Mining (SDM'2012), Anaheim, CA, U.S.A., April, 2012. | April 2012
  
  Publication Publication
- Optimal Pricing in Social Networks with Incomplete Information
  
  Wei Chen, Pinyan Lu, Xiaorui Sun, Bo Tang, Yajun Wang, Zeyuan Allen Zhu
  
  In Proceedings of the 7th Workshop on Internet and Network Economics (WINE'2011), Singapore, December 2011. | December 2011
  
  Publication Publication
- Participation Maximization Based on Social Influence in Online Discussion Forums
  
  Tao Sun, Wei Chen, Yajun Wang, Xiaorui Sun, Chin-Yew Lin, Ming Zhang
  
  Proceedings of the 5th International AAAI Conference on Weblogs and Social Media (ICWSM'2011), Barcelona, Spain, July 2011 | October 2011
  
  Publication Publication
- Relationship Classification in Large Scale OSN and its Impact on Information Propagation
  
  Shaojie Tang, Jing Yuan, Xufei Mao, Xiang-Yang Li, Wei Chen, Guojun Dai
  
  In Proceedings of the 30th IEEE International Conference on Computer Communications (INFOCOM'2011), Shanghai, China, April, 2011. | April 2011
  
  Publication
- Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate
  
  Wei Chen, Alex Collins, Rachel Cummings, Te Ke, Zhenming Liu, David Rincon, Xiaorui Sun, Wei Wei, Yajun Wang, Yifei Yuan
  
  Proceedings of the 11th SIAM International Conference on Data Mining (SDM) | April 2011
  
  PDF Preprint
- Scalable influence maximization in social networks under the linear threshold model
  
  Wei Chen, Yifei Yuan, Li Zhang
  
  Proceedings of the 10th IEEE International Conference on Data Mining (ICDM'2010), Sydney, Australia | December 2010
  
  Publication Publication
- A Game-theoretic Framework to Identify Overlapping Communities in Social Networks
  
  Wei Chen, Zhenming Liu, Xiaorui Sun, Yajun Wang
  
  Data Mining and Knowledge Discovery Journal, special issue on ECML PKDD 2010, 21(2), September, 2010, pp. 224-240. | September 2010
  
  Winner of the best student paper award in data mining at ECML PKDD 2010.
  
  Publication
- Scalable Influence Maximization for Prevalent Viral Marketing in Large-Scale Social Networks
  
  Wei Chen, Chi Wang, Yajun Wang
  
  Proceedings of the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2010), Washington DC, U.S.A. | July 2010
  
  PDF Author's Version
- Compact Routing in Power-law Graphs
  
  Wei Chen, Christian Sommer, Shang-Hua Teng, Yajun Wang
  
  In Proceedings of the 23rd International Symposium on Distributed Computing (DISC'2009), Elche/Elx, Spain, Sept. 2009. | September 2009
  
  Publication
- Formal Verification of Scalable NonZero Indicators
  
  Shao Jie Zhang, Yang Liu, Jun Sun, Jin Song Dong, Yanhong A. Liu, Wei Chen
  
  The 21st International Conference on Software Engineering and Knowledge Engineering (SEKE'2009), Boston, U.S.A., July 2009. | July 2009
  
  Publication
- On the $alpha$-Sensitivity of Nash Equilibria in PageRank-Based Network Reputation Games
  
  Wei Chen, Shang-Hua Teng, Yajun Wang, Yuan Zhou
  
  In Proceedings of the 3rd International Frontiers of Algorithmics Workshop (FAW'2009), Hefei, China, June 2009. | June 2009
  
  Publication
- Bounded Cost Algorithms for Multivalued Consensus using Binary Consensus Instances
  
  Jialin Zhang, Wei Chen
  
  Information Processing Letters, Elsevier, (109), 2009, pp. 1005 -1009. | June 2009
  
  Publication
- Efficient Influence Maximization in Social Networks
  
  Wei Chen, Yajun Wang, Siyu Yang
  
  Proceedings of the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2009) | June 2009
  
  Publication
- Model Checking Linearizability via Refinement
  
  Yang Liu, Yanghong A. Liu, Jun Sun, Wei Chen
  
  Proceedings of the 16th International Symposium on Formal Methods (FM'2009), Eindhoven, the Netherlands, Nov. 2009. | March 2009
  
  Publication
- Probabilistic Failure Detection for Efficient Distributed Storage Maintenance
  
  Jing Tian, Zhi Yang, Wei Chen, Ben Y. Zhao, Yafei Dai
  
  October 2008
  
  Publication
- Ranking of Closeness Centrality for Large-scale Social Networks
  
  Kazuya Okamoto, Wei Chen, Xiang-Yang Li
  
  Proceedings of the 2nd International Frontiers of Algorithmics Workshop (FAW'2008), Changsha, China, June 2008. | June 2008
  
  Publication
- Failure Detectors and Extended Paxos for k-Set Agreement
  
  Wei Chen, Jialin Zhang, Yu Chen, Xuezheng Liu
  
  Proceedings of the 13th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC'2007), Melbourne, Australia, Dec. 2007. | December 2007
  
  Proceedings of the 13th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC'2007)
  
  Publication Publication
- Decentralized, Connectivity-Preserving, and Cost-Effective Structured Overlay Maintenance
  
  Yu Chen, Wei Chen
  
  November 2007
  
  Publication Publication
- An Analytical Framework and Its Applications for Studying Brick Storage Reliability
  
  Ming Chen, Likun Liu, Wei Chen, Zheng Zhang
  
  October 2007
  
  Publication Publication
- Weakening Failure Detectors for k-set Agreement via the Partition Approach
  
  Wei Chen, Jialin Zhang, Yu Chen, Xuezheng Liu
  
  In Proceedings of the 21st International Symposium on Distributed Computing (DISC'2007), Lemesos, Cyprus, Sept. 2007. | September 2007
  
  Publication
- Enforcing Routing Consistency in Structured Peer-to-Peer Overlays: Should We and Could We?
  
  Wei Chen, Xuezheng Liu
  
  February 2006
  
  Publication
- Z-Ring: Fast Prefix Routing via a Low Maintenance Membership Protocol
  
  Qiao Lian, Wei Chen, Zheng Zhang, Shaomei Wu, Ben Y Zhao
  
  Proceedings of the 13th IEEE International Conference on Network Protocols (ICNP'2005), Boston, MA, U.S.A., November 2005. | August 2005
  
  Publication Publication
- On the Impact of Replica Placement to the Reliability of Distributed Brick Storage System
  
  Wei Chen, Zheng Zhang
  
  June 2005
  
  Publication Publication
- On the Quality of Service of Failure Detectors
  
  Wei Chen, Sam Toueg, Marcos K. Aguilera
  
  IEEE Transaction on Computers, 51:5, May 2002, pp. 561-580. | May 2002
  
  Publication
- A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator
  
  Xiaobin Rui, Zhixiao Wang, Hao Peng, Wei Chen, Philip S. Yu
  
  IEEE Transactions on Knowledge and Data Engineering (TKDE) | May 2025
  
  PDF
- Uncovering Milestone Papers: A Network Diffusion and Game Theory Approach
  
  Wei Zhang, Juyang Cao, Manuel Sebastian Mariani, Zhen-Zhen Wang, Mingyang Zhou, Wei Chen, Hao Liao
  
  Journal of Informetrics | August 2024, Vol 18(3)
  
  Publication
- The pure exploration problem with general reward functions depending on full distributions
  
  Siwei Wang, Wei Chen
  
  Machine Learning | July 2022
  
  Publication
- Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization
  
  Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao
  
  Journal of Artificial Intelligence Research | May 2022, Vol 74: pp. 303-351
  
  PDF
- Higher Order Monotonicity and Submodularity of Influence in Social Networks: From Local to Global
  
  Wei Chen, Qiang Li, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
  
  Information and Computation | January 2022
  
  PDF
- 基于优化反馈的组合在线学习 (Combinatorial Online Learning Based on Optimizing feedbacks）
  
  Fang Kong, Yueran Yang, Wei Chen, Shuai Li
  
  大数据（Big Data Research） | September 2021, Vol 7(5)
  
  PDF
- 基于样本的优化（Optimization from Samples）
  
  Zhijie Zhang, Xiaoming Sun, Jialin Zhang, Wei Chen
  
  大数据（Big Data Research） | September 2021, Vol 7(5): pp. 100-110
  
  PDF
- Scalable Lattice Influence Maximization
  
  Wei Chen, Ruihan Wu, Zheng Yu
  
  IEEE Transactions on Computational Social Systems | August 2020, Vol 7(4): pp. 956-970
  
  Author's Version
- Follow the Perturbed Approximate Leader for Solving Semi-bandit Combinatorial Optimization
  
  Feidiao Yang, Wei Chen, Jialin Zhang, Xiaoming Sun
  
  Frontiers in Computer Science | July 2020
  
  PDF
- Coreness of cooperative games with truncated submodular profit functions
  
  Wei Chen, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
  
  Theoretical Computer Science | June 2020, Vol 822: pp. 49-60
  
  PDF DOI
- Efficient Approximation Algorithms for Adaptive Influence Maximization
  
  Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim
  
  The VLDB Journal | June 2020
  
  Author's Version Publication
- A Graph-Theoretical Basis of Stochastic-Cascading Network Influence: Characterizations of Influence-Based Centrality
  
  Wei Chen, Shang-Hua Teng, Hanrui Zhang
  
  Theoretical Computer Science | April 2020
  
  PDF
- Complete Submodularity Characterization in the Comparative Independent Cascade Model
  
  Wei Chen, Hanrui Zhang
  
  Theoretical Computer Science | September 2019, Vol 786(27): pp. 78-87
  
  PDF Publication
- Cumulative Activation in Social Networks
  
  Xiaohan Shan, Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang
  
  Science China Information Sciences | May 2019, Vol 62
  
  PDF
- Boosting Information Spread: An Algorithmic Approach
  
  Yishi Lin, Wei Chen, John C. S. Lui
  
  IEEE Transactions on Computational Social Systems | April 2018, Vol 5(2): pp. 344-357
  
  PDF
- A Game Theoretic Model for the Formation of Navigable Small-World Networks — the Tradeoff between Distance and Reciprocity
  
  Zhi Yang, Wei Chen
  
  ACM Transactions on Internet Technology | April 2018
  
  PDF
- Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms
  
  Wei Chen, Yajun Wang, Yang Yuan, Qinshi Wang
  
  Journal of Machine Learning Research | April 2016, Vol 17: pp. 1-33
  
  Publication
- Voter Model on Signed Social Networks
  
  Yanhua Li, Wei Chen, Yajun Wang, Zhi-Li Zhang
  
  Internet Mathematics | November 2015, Vol 11(2): pp. 93-133
  
  A preliminary version appears as "Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships", WSDM'2013.
  
  PDF
- 社交网络影响力传播研究 (Research on influence diffusion in social networks)
  
  Wei Chen
  
  大数据 (Big Data Research) | October 2015, Vol 1
- Real-time Topic-aware Influence Maximization Using Preprocessing
  
  Wei Chen, Tian Lin, Cheng Yang
  
  Computational Social Networks | August 2015, Vol 3(8)
  
  Best paper runner-up award at the 4th International Conference on Computational Social Networks (CSoNet'2015)
  
  Publication Publication Publication
- Diffusion of “following” Links in Microblogging Networks
  
  Jing Zhang, Zhanpeng Fang, Wei Chen, Jie Tang
  
  IEEE Transactions on Knowledge and Data Engineering | February 2015, Vol 37(8): pp. 2093
  
  Publication Publication
- On the Hyperbolicity of Small-world and Tree-like Random Graphs
  
  Wei Chen, Wenjie Fang, Guangda Hu, Michael W. Mahoney
  
  Internet Mathematics | September 2013, Vol 9(4)
  
  Extended abstract published in Proceedings of the 23rd International Symposium on Algorithms and Computation (ISAAC'2012), Taipei, December 2012.
  
  PDF Publication
- A Compact Routing Scheme and Approximate Distance Oracle for Power-Law Graphs
  
  Wei Chen, Christian Sommer, Shang-Hua Teng, Yajun Wang
  
  ACM Transactions on Algorithms 9(1): 4 (2012). Extended abstract published in Distributed Computing (DISC), 2009. | September 2012, Vol 9
  
  Publication Publication Publication
- Scalable Influence Maximization for Independent Cascade model in Large-scale Social Networks
  
  Chi Wang, Wei Chen, Yajun Wang
  
  Data Mining and Knowledge Discovery Journal | May 2012, Vol 25(3): pp. 545-576
  
  Publication
- Bounded Budget Betweenness Centrality Game for Strategic Network Formations
  
  Xiaohui Bei, Wei Chen, Shang-Hua Teng, Jialin Zhang, Jiajie Zhu
  
  Theoretical Computer Science, Vol. 412, Dec. 2011, 7147-7168. Extended abstract published in European Symposium of Algorithms (ESA), 2009. | December 2011, Vol 412: pp. 7147-7168
  
  Publication Publication Publication
- Protector: A Probabilistic Failure Detector for Cost-effective Peer-to-peer Storage
  
  Zhi Yang, Jing Tian, Ben Y. Zhao, Wei Chen, Yafei Dai
  
  IEEE Transactions on Parallel and Distributed Systems | November 2010, Vol 22
  
  Publication Publication
- The Isolation Game: A Game of Distances
  
  Yingchao Zhao, Wei Chen, Shang-Hua Teng
  
  Theoretical Computer Science | November 2009, Vol 410(47-49): pp. 4905-4919
  
  An extended abstract appears in Proceedings of the 19th International Symposium on Algorithms and Computation ( ISAAC'2008), Gold Coast, Australia, Dec. 2008
  
  PDF
- Implementing Uniform Reliable Broadcast with Binary Consensus in Systems with Fair-Lossy Links
  
  Jialin Zhang, Wei Chen
  
  Information Processing Letters | October 2009, Vol 110
  
  Publication
- 大数据网络传播模型和算法 (Network Diffusion Models and Algorithms for Big Data)
  
  Published by 人民邮电出版社 (Post & Telecom Press) | April 2020
  
  ISBN: 978-7-115-52554-3
  
  Publication
- Information and Influence Propagation in Social Networks
  
  Wei Chen, Laks V.S. Lakshmanan, Carlos Castillo
  
  Published by Morgan & Claypool | October 2013 | Morgan & Claypool Synthesis Lectures on Data Management, Oct. 2013 edition
  
  Morgan & Claypool Synthesis Lectures on Data Management, Oct. 2013
  
  Publication
- Quorum-Based Perfect Failure Detection Service
  
  Wei Chen, Xuezheng Liu, Lidong Zhou, Yunni Xia
  
  MSR-TR-2009-62 | May 2009
  
  Publication
- Note on the Hardness of Bounded Budget Betweenness Centrality Game with Path Length Constraints
  
  Xiaohui Bei, Wei Chen, Jialin Zhang
  
  MSR-TR-2009-10 | February 2009
  
  Publication
- The Betweenness Centrality Game for Strategic Network Formations
  
  Wei Chen, Shang-Hua Teng, Jiajie Zhu
  
  MSR-TR-2008-167 | November 2008
  
  Publication
- Abortable Consensus and Its Application to Probabilistic Atomic Broadcast
  
  Wei Chen
  
  MSR-TR-2006-135 | September 2007
  
  URCS Technical Report 648
  
  Publication
- Decentralized, Connectivity-Preserving, and Cost-Effective Structured Overlay Maintenance
  
  Yu Chen, Wei Chen
  
  MSR-TR-2007-84 | July 2007
  
  Publication
- Partition Approach to Failure Detectors for k-Set Agreement
  
  Wei Chen, Jialin Zhang, Yu Chen, Xuezheng Liu
  
  MSR-TR-2007-49 | May 2007
  
  Publication
- On Failure Detectors Weaker Than Ever
  
  Wei Chen, Yu Chen, Jialin Zhang
  
  MSR-TR-2007-50 | May 2007
  
  Publication
- Self-Stabilizing, Cost-Effective, and Fast-Convergent Structured Overlay Maintenance
  
  Yu Chen, Wei Chen
  
  MSR-TR-2006-56 | May 2006
  
  Publication
- BitVault: a Highly Reliable Distributed Data Retention Platform
  
  Zheng Zhang, Qiao Lian, Shiding Lin, Wei Chen, Yu Chen, Chao Jin
  
  MSR-TR-2005-179 | December 2005
  
  Publication
- Distributed soft-state index management in BitVault — protocols and its correctness
  
  Wei Chen, Zheng Zhang
  
  MSR-TR-2005-88 | September 2005
  
  Publication
- On the impact of replica placement to the reliability of distributed brick storage systems
  
  Qiao Lian, Wei Chen, Zheng Zhang
  
  MSR-TR-2005-71 | June 2005
  
  Publication Publication
- Sigma: A Fault-Tolerant Mutual Exclusion Algorithm in Dynamic Distributed Systems Subject to Process Crashes and Memory Losses
  
  Wei Chen, Shi-Ding Lin, Qiao Lian, Zheng Zhang
  
  MSR-TR-2005-58 | May 2005
  
  Publication Publication

Wei Chen

Publications

Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation

Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective

Combinatorial Rising Bandits

Latent-DARM: Bridging Discrete Diffusion and Autoregressive Models for Reasoning

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Hybrid Combinatorial Multi-armed Bandits with Probabilistically Triggered Arms

Mechanism Design for LLM Fine-tuning with Multiple Reward Models

Multi-Play Combinatorial Semi-Bandit Problem

Offline Learning for Combinatorial Multi-armed Bandits

A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator

Structural-Entropy-Based Sample Selection for Efficient and Effective Learning

ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models

Can Graph Learning Improve Task Planning?

Combinatorial Causal Bandits without Graph Skeleton

Convergence to Equilibrium of No-regret Dynamics in Congestion Games

Query-Efficient Correlation Clustering with Noisy Oracle

Uncovering Milestone Papers: A Network Diffusion and Game Theory Approach

Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond

Cascading Reinforcement Learning

Combinatorial Bandits for Maximum Value Reward Function under Value-index Feedback

Multi-Fidelity Multi-Armed Bandits Revisited

Scalable Fair Influence Maximization

Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits

Contextual Combinatorial Bandits with Probabilistically Triggered Arms

Mitigating Filter Bubbles Under a Competitive Diffusion Model

Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation

Collaborative Pure Exploration in Kernel Bandit

Combinatorial Pure Exploration of Causal Bandits

Combinatorial Causal Bandits

Scalable Adversarial Attack Algorithms on Influence Maximization

Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms

Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret

The pure exploration problem with general reward functions depending on full distributions

Branching Reinforcement Learning

Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization

Online Competitive Influence Maximization

Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback

Higher Order Monotonicity and Submodularity of Influence in Social Networks: From Local to Global

Combinatorial Pure Exploration with Bottleneck Reward Function

The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle

Causal Inference for Influence Propagation — Identifiability of the Independent Cascade Model

基于优化反馈的组合在线学习 (Combinatorial Online Learning Based on Optimizing feedbacks）

基于样本的优化（Optimization from Samples）

Maximizing Social Welfare in a Competitive Diffusion Model

Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning

Network Inference and Influence Maximization from Samples

Combinatorial Semi-Bandit in the Non-Stationary Environment

Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback

Online Influence Maximization under Linear Threshold Model

Scalable Lattice Influence Maximization

(Locally) Differentially Private Combinatorial Semi-Bandits

Combinatorial Pure Exploration for Dueling Bandits

Follow the Perturbed Approximate Leader for Solving Semi-bandit Combinatorial Optimization

Optimization from Structured Samples for Coverage Functions

Coreness of cooperative games with truncated submodular profit functions

Efficient Approximation Algorithms for Adaptive Influence Maximization

A Graph-Theoretical Basis of Stochastic-Cascading Network Influence: Characterizations of Influence-Based Centrality

大数据网络传播模型和算法 (Network Diffusion Models and Algorithms for Big Data)

Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization

Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations

Influence Maximization with Spontaneous User Adoption

Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting

Stochastic Online Learning with Probabilistic Graph Feedback

Adaptive Influence Maximization with Myopic Feedback

On Adaptivity Gaps of Influence Maximization under the Independent Cascade Model with Full-Adoption Feedback

Complete Submodularity Characterization in the Comparative Independent Cascade Model

Stochastic One-Sided Full-Information Bandit

Factorization Bandits for Online Influence Maximization

Improved Algorithm on Online Clustering of Bandits

Maximizing Welfare in Social Networks under a Utility Driven Influence Diffusion Model

Cumulative Activation in Social Networks

Capturing Complementarity in Set Functions by Going Beyond Submodularity/Subadditivity

An Issue in the Martingale Analysis of the Influence Maximization Algorithm IMM

Community Exploration: From Offline Optimization to Online Learning

Coreness of Cooperative Games with Truncated Submodular Profit Functions (2018)

Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach.

Thompson Sampling for Combinatorial Semi-Bandits

Multi-Round Influence Maximization