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
Wei Chen
Principal Researcher
Publications
Publications by Year
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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
Combinatorial Causal Bandits without Graph Skeleton
Shi Feng, Nuoya Xiong, Wei Chen
Proceedings of the 16th Asian Conference on Machine Learning (ACML) | December 2024
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
Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng
Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024
Query-Efficient Correlation Clustering with Noisy Oracle
Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen
NeurIPS 2024 | December 2024
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)
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
Cascading Reinforcement Learning
Yihan Du, R. Srikant, Wei Chen
Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024
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
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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
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
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
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
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
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
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
Combinatorial Pure Exploration of Causal Bandits
Nuoya Xiong, Wei Chen
Proceedings of the 11th International Conference on Learning Representations (ICLR) | May 2023
Combinatorial Causal Bandits
Shi Feng, Wei Chen
Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI) | February 2023
Scalable Adversarial Attack Algorithms on Influence Maximization
Lichao Sun, Xiaobin Rui, Wei Chen
Proceedings of the 16th ACM International WSDM Conference (WSDM) | February 2023
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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
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
The pure exploration problem with general reward functions depending on full distributions
Machine Learning | July 2022
Branching Reinforcement Learning
Yihan Du, Wei Chen
Proceedings of the 39th International Conference on Machine Learning (ICML) | July 2022
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
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
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.
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
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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
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
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
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)
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
Maximizing Social Welfare in a Competitive Diffusion Model
Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
VLDB 2021 | August 2021
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
Network Inference and Influence Maximization from Samples
Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang
2021 International Conference on Machine Learning (ICML) | July 2021
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
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
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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.
Scalable Lattice Influence Maximization
Wei Chen, Ruihan Wu, Zheng Yu
IEEE Transactions on Computational Social Systems | August 2020, Vol 7(4): pp. 956-970
(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
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
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
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
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
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
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
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
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
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
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
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
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
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Adaptive Influence Maximization with Myopic Feedback
Binghui Peng, Wei Chen
Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2019
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
Complete Submodularity Characterization in the Comparative Independent Cascade Model
Wei Chen, Hanrui Zhang
Theoretical Computer Science | September 2019, Vol 786(27): pp. 78-87
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
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
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
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
Cumulative Activation in Social Networks
Xiaohan Shan, Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang
Science China Information Sciences | May 2019, Vol 62
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
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An Issue in the Martingale Analysis of the Influence Maximization Algorithm IMM
Proceedings of the 7th International Conference on Computational Social Networks (CSoNet'2018) | December 2018
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
Coreness of Cooperative Games with Truncated Submodular Profit Functions (2018)
Wei Chen, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
2018 Algorithmic Game Theory | September 2018
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
Thompson Sampling for Combinatorial Semi-Bandits
Proceedings of the 35th International Conference on Machine Learning (ICML'2018) | July 2018
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
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
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'2018) | May 2018
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
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
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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
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
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
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
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
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
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
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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
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
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)
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
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
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)
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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
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
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.
社交网络影响力传播研究 (Research on influence diffusion in social networks)
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)
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
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.
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
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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.
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)
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
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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
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
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.
On the Power of Breakable Objects
Wei Chen, Guangda Hu, Jialin Zhang
Theoretical Computer Science, 503, Sept. 2013. | September 2013
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
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
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
Sybil-proof Mechanisms in Query Incentive Networks
Wei Chen, Yajun Wang, Dongxiao Yu, Li Zhang
Proceedings of ACM Conference on Electronic Commerce | June 2013
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
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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
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
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
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
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
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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
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
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
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
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
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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
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
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.
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
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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
Implementing Uniform Reliable Broadcast with Binary Consensus in Systems with Fair-Lossy Links
Jialin Zhang, Wei Chen
Information Processing Letters | October 2009, Vol 110
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
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
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
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
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
Quorum-Based Perfect Failure Detection Service
Wei Chen, Xuezheng Liu, Lidong Zhou, Yunni Xia
MSR-TR-2009-62 | May 2009
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
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
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The Betweenness Centrality Game for Strategic Network Formations
Wei Chen, Shang-Hua Teng, Jiajie Zhu
MSR-TR-2008-167 | November 2008
Probabilistic Failure Detection for Efficient Distributed Storage Maintenance
Jing Tian, Zhi Yang, Wei Chen, Ben Y. Zhao, Yafei Dai
October 2008
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
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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)
Decentralized, Connectivity-Preserving, and Cost-Effective Structured Overlay Maintenance
Yu Chen, Wei Chen
November 2007
An Analytical Framework and Its Applications for Studying Brick Storage Reliability
Ming Chen, Likun Liu, Wei Chen, Zheng Zhang
October 2007
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
Abortable Consensus and Its Application to Probabilistic Atomic Broadcast
MSR-TR-2006-135 | September 2007
URCS Technical Report 648
Decentralized, Connectivity-Preserving, and Cost-Effective Structured Overlay Maintenance
Yu Chen, Wei Chen
MSR-TR-2007-84 | July 2007
On Failure Detectors Weaker Than Ever
Wei Chen, Yu Chen, Jialin Zhang
MSR-TR-2007-50 | May 2007
Partition Approach to Failure Detectors for k-Set Agreement
Wei Chen, Jialin Zhang, Yu Chen, Xuezheng Liu
MSR-TR-2007-49 | May 2007
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Self-Stabilizing, Cost-Effective, and Fast-Convergent Structured Overlay Maintenance
Yu Chen, Wei Chen
MSR-TR-2006-56 | May 2006
Enforcing Routing Consistency in Structured Peer-to-Peer Overlays: Should We and Could We?
Wei Chen, Xuezheng Liu
February 2006
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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
Distributed soft-state index management in BitVault — protocols and its correctness
Wei Chen, Zheng Zhang
MSR-TR-2005-88 | September 2005
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
On the Impact of Replica Placement to the Reliability of Distributed Brick Storage System
Wei Chen, Zheng Zhang
June 2005
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
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
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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
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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
Failure Detection and Consensus in the Crash-recovery Model
Distributed Computing, Springer-Verlag, 13:2, April 2000, pp. 99-125. | April 2000
On Quiescent Reliable Communication
SIAM Journal on Computing, 29:6, April 2000, pp. 2040-2073. | April 2000
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Using the Heartbeat Failure Detector for Quiescent Reliable Communication and Consensus in Partitionable Networks
Theoretical Computer Science, Elsevier Science, invited paper in the special issue on distributed algorithms, 220:1, June 1999, pp. 3-30. | June 1999
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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
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Heartbeat: A Timeout-free Failure Detector for Quiescent Reliable Communication
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
Publications by Research Area
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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
Failure Detection and Consensus in the Crash-recovery Model
Distributed Computing, Springer-Verlag, 13:2, April 2000, pp. 99-125. | April 2000
On Quiescent Reliable Communication
SIAM Journal on Computing, 29:6, April 2000, pp. 2040-2073. | April 2000
Using the Heartbeat Failure Detector for Quiescent Reliable Communication and Consensus in Partitionable Networks
Theoretical Computer Science, Elsevier Science, invited paper in the special issue on distributed algorithms, 220:1, June 1999, pp. 3-30. | June 1999
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
Heartbeat: A Timeout-free Failure Detector for Quiescent Reliable Communication
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
Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng
Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024
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
Combinatorial Causal Bandits without Graph Skeleton
Shi Feng, Nuoya Xiong, Wei Chen
Proceedings of the 16th Asian Conference on Machine Learning (ACML) | December 2024
Query-Efficient Correlation Clustering with Noisy Oracle
Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen
NeurIPS 2024 | December 2024
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)
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
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
Cascading Reinforcement Learning
Yihan Du, R. Srikant, Wei Chen
Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024
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
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
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
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
Combinatorial Pure Exploration of Causal Bandits
Nuoya Xiong, Wei Chen
Proceedings of the 11th International Conference on Learning Representations (ICLR) | May 2023
Combinatorial Causal Bandits
Shi Feng, Wei Chen
Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI) | February 2023
Scalable Adversarial Attack Algorithms on Influence Maximization
Lichao Sun, Xiaobin Rui, Wei Chen
Proceedings of the 16th ACM International WSDM Conference (WSDM) | February 2023
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
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
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
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
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.
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
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
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
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
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)
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
Maximizing Social Welfare in a Competitive Diffusion Model
Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
VLDB 2021 | August 2021
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
Network Inference and Influence Maximization from Samples
Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang
2021 International Conference on Machine Learning (ICML) | July 2021
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
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
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.
Scalable Lattice Influence Maximization
Wei Chen, Ruihan Wu, Zheng Yu
IEEE Transactions on Computational Social Systems | August 2020, Vol 7(4): pp. 956-970
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
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
(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
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
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
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
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
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
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
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
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
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
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
Adaptive Influence Maximization with Myopic Feedback
Binghui Peng, Wei Chen
Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2019
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
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
Complete Submodularity Characterization in the Comparative Independent Cascade Model
Wei Chen, Hanrui Zhang
Theoretical Computer Science | September 2019, Vol 786(27): pp. 78-87
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
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
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
Cumulative Activation in Social Networks
Xiaohan Shan, Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang
Science China Information Sciences | May 2019, Vol 62
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
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
An Issue in the Martingale Analysis of the Influence Maximization Algorithm IMM
Proceedings of the 7th International Conference on Computational Social Networks (CSoNet'2018) | December 2018
Coreness of Cooperative Games with Truncated Submodular Profit Functions (2018)
Wei Chen, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
2018 Algorithmic Game Theory | September 2018
Thompson Sampling for Combinatorial Semi-Bandits
Proceedings of the 35th International Conference on Machine Learning (ICML'2018) | July 2018
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
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
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'2018) | May 2018
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
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
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
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
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
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
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
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
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
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
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
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)
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
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
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)
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
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.
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
社交网络影响力传播研究 (Research on influence diffusion in social networks)
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)
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
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.
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
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.
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)
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
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
On the Power of Breakable Objects
Wei Chen, Guangda Hu, Jialin Zhang
Theoretical Computer Science, 503, Sept. 2013. | September 2013
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
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
Sybil-proof Mechanisms in Query Incentive Networks
Wei Chen, Yajun Wang, Dongxiao Yu, Li Zhang
Proceedings of ACM Conference on Electronic Commerce | June 2013
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
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
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
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
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
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
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
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
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
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
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.
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
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
Implementing Uniform Reliable Broadcast with Binary Consensus in Systems with Fair-Lossy Links
Jialin Zhang, Wei Chen
Information Processing Letters | October 2009, Vol 110
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
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
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
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
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
Quorum-Based Perfect Failure Detection Service
Wei Chen, Xuezheng Liu, Lidong Zhou, Yunni Xia
MSR-TR-2009-62 | May 2009
The Betweenness Centrality Game for Strategic Network Formations
Wei Chen, Shang-Hua Teng, Jiajie Zhu
MSR-TR-2008-167 | November 2008
Probabilistic Failure Detection for Efficient Distributed Storage Maintenance
Jing Tian, Zhi Yang, Wei Chen, Ben Y. Zhao, Yafei Dai
October 2008
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
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
Abortable Consensus and Its Application to Probabilistic Atomic Broadcast
MSR-TR-2006-135 | September 2007
URCS Technical Report 648
Decentralized, Connectivity-Preserving, and Cost-Effective Structured Overlay Maintenance
Yu Chen, Wei Chen
MSR-TR-2007-84 | July 2007
Partition Approach to Failure Detectors for k-Set Agreement
Wei Chen, Jialin Zhang, Yu Chen, Xuezheng Liu
MSR-TR-2007-49 | May 2007
Self-Stabilizing, Cost-Effective, and Fast-Convergent Structured Overlay Maintenance
Yu Chen, Wei Chen
MSR-TR-2006-56 | May 2006
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
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
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
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Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng
Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024
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
Combinatorial Causal Bandits without Graph Skeleton
Shi Feng, Nuoya Xiong, Wei Chen
Proceedings of the 16th Asian Conference on Machine Learning (ACML) | December 2024
Query-Efficient Correlation Clustering with Noisy Oracle
Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen
NeurIPS 2024 | December 2024
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
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
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
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
Cascading Reinforcement Learning
Yihan Du, R. Srikant, Wei Chen
Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024
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
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
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
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
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
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
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
Combinatorial Pure Exploration of Causal Bandits
Nuoya Xiong, Wei Chen
Proceedings of the 11th International Conference on Learning Representations (ICLR) | May 2023
Combinatorial Causal Bandits
Shi Feng, Wei Chen
Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI) | February 2023
Scalable Adversarial Attack Algorithms on Influence Maximization
Lichao Sun, Xiaobin Rui, Wei Chen
Proceedings of the 16th ACM International WSDM Conference (WSDM) | February 2023
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
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
The pure exploration problem with general reward functions depending on full distributions
Machine Learning | July 2022
Branching Reinforcement Learning
Yihan Du, Wei Chen
Proceedings of the 39th International Conference on Machine Learning (ICML) | July 2022
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
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
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.
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
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
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
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
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)
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
Maximizing Social Welfare in a Competitive Diffusion Model
Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
VLDB 2021 | August 2021
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
Network Inference and Influence Maximization from Samples
Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang
2021 International Conference on Machine Learning (ICML) | July 2021
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
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
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.
Scalable Lattice Influence Maximization
Wei Chen, Ruihan Wu, Zheng Yu
IEEE Transactions on Computational Social Systems | August 2020, Vol 7(4): pp. 956-970
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
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
(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
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
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
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
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
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
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
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
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
Adaptive Influence Maximization with Myopic Feedback
Binghui Peng, Wei Chen
Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2019
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
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
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
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
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
Coreness of Cooperative Games with Truncated Submodular Profit Functions (2018)
Wei Chen, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
2018 Algorithmic Game Theory | September 2018
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
Thompson Sampling for Combinatorial Semi-Bandits
Proceedings of the 35th International Conference on Machine Learning (ICML'2018) | July 2018
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
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'2018) | May 2018
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
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
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
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
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
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)
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
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.
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
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
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Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng
Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024
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
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
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
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
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
Adaptive Influence Maximization with Myopic Feedback
Binghui Peng, Wei Chen
Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2019
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
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
Coreness of Cooperative Games with Truncated Submodular Profit Functions (2018)
Wei Chen, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
2018 Algorithmic Game Theory | September 2018
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
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)
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
社交网络影响力传播研究 (Research on influence diffusion in social networks)
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
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.
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
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
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
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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)
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
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
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.
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
Network Inference and Influence Maximization from Samples
Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang
2021 International Conference on Machine Learning (ICML) | July 2021
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
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
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
Cumulative Activation in Social Networks
Xiaohan Shan, Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang
Science China Information Sciences | May 2019, Vol 62
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
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'2018) | May 2018
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
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
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
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
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
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
Probabilistic Failure Detection for Efficient Distributed Storage Maintenance
Jing Tian, Zhi Yang, Wei Chen, Ben Y. Zhao, Yafei Dai
October 2008
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
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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
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
Scalable Adversarial Attack Algorithms on Influence Maximization
Lichao Sun, Xiaobin Rui, Wei Chen
Proceedings of the 16th ACM International WSDM Conference (WSDM) | February 2023
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
Maximizing Social Welfare in a Competitive Diffusion Model
Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
VLDB 2021 | August 2021
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.
Scalable Lattice Influence Maximization
Wei Chen, Ruihan Wu, Zheng Yu
IEEE Transactions on Computational Social Systems | August 2020, Vol 7(4): pp. 956-970
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
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
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
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
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
Adaptive Influence Maximization with Myopic Feedback
Binghui Peng, Wei Chen
Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2019
Complete Submodularity Characterization in the Comparative Independent Cascade Model
Wei Chen, Hanrui Zhang
Theoretical Computer Science | September 2019, Vol 786(27): pp. 78-87
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
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
Cumulative Activation in Social Networks
Xiaohan Shan, Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang
Science China Information Sciences | May 2019, Vol 62
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
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'2018) | May 2018
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
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
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
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
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
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
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
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
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)
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
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.
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
社交网络影响力传播研究 (Research on influence diffusion in social networks)
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)
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
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.
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
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)
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
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
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
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.
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
-
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
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
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)
-
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.
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
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
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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
Using the Heartbeat Failure Detector for Quiescent Reliable Communication and Consensus in Partitionable Networks
Theoretical Computer Science, Elsevier Science, invited paper in the special issue on distributed algorithms, 220:1, June 1999, pp. 3-30. | June 1999
Heartbeat: A Timeout-free Failure Detector for Quiescent Reliable Communication
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
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
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
Quorum-Based Perfect Failure Detection Service
Wei Chen, Xuezheng Liu, Lidong Zhou, Yunni Xia
MSR-TR-2009-62 | May 2009
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)
Decentralized, Connectivity-Preserving, and Cost-Effective Structured Overlay Maintenance
Yu Chen, Wei Chen
November 2007
Enforcing Routing Consistency in Structured Peer-to-Peer Overlays: Should We and Could We?
Wei Chen, Xuezheng Liu
February 2006
Distributed soft-state index management in BitVault — protocols and its correctness
Wei Chen, Zheng Zhang
MSR-TR-2005-88 | September 2005
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
On the Impact of Replica Placement to the Reliability of Distributed Brick Storage System
Wei Chen, Zheng Zhang
June 2005
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
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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
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An Analytical Framework and Its Applications for Studying Brick Storage Reliability
Ming Chen, Likun Liu, Wei Chen, Zheng Zhang
October 2007
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On Failure Detectors Weaker Than Ever
Wei Chen, Yu Chen, Jialin Zhang
MSR-TR-2007-50 | May 2007
Publications by Type
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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
Failure Detection and Consensus in the Crash-recovery Model
Distributed Computing, Springer-Verlag, 13:2, April 2000, pp. 99-125. | April 2000
On Quiescent Reliable Communication
SIAM Journal on Computing, 29:6, April 2000, pp. 2040-2073. | April 2000
Using the Heartbeat Failure Detector for Quiescent Reliable Communication and Consensus in Partitionable Networks
Theoretical Computer Science, Elsevier Science, invited paper in the special issue on distributed algorithms, 220:1, June 1999, pp. 3-30. | June 1999
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
Heartbeat: A Timeout-free Failure Detector for Quiescent Reliable Communication
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
Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng
Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024
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
Combinatorial Causal Bandits without Graph Skeleton
Shi Feng, Nuoya Xiong, Wei Chen
Proceedings of the 16th Asian Conference on Machine Learning (ACML) | December 2024
Query-Efficient Correlation Clustering with Noisy Oracle
Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen
NeurIPS 2024 | December 2024
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
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
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
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
Cascading Reinforcement Learning
Yihan Du, R. Srikant, Wei Chen
Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024
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
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
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
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
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
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
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
Combinatorial Pure Exploration of Causal Bandits
Nuoya Xiong, Wei Chen
Proceedings of the 11th International Conference on Learning Representations (ICLR) | May 2023
Combinatorial Causal Bandits
Shi Feng, Wei Chen
Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI) | February 2023
Scalable Adversarial Attack Algorithms on Influence Maximization
Lichao Sun, Xiaobin Rui, Wei Chen
Proceedings of the 16th ACM International WSDM Conference (WSDM) | February 2023
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
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
Branching Reinforcement Learning
Yihan Du, Wei Chen
Proceedings of the 39th International Conference on Machine Learning (ICML) | July 2022
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
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.
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
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
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
Maximizing Social Welfare in a Competitive Diffusion Model
Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
VLDB 2021 | August 2021
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
Network Inference and Influence Maximization from Samples
Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang
2021 International Conference on Machine Learning (ICML) | July 2021
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
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
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.
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
(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
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
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
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
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
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
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
Adaptive Influence Maximization with Myopic Feedback
Binghui Peng, Wei Chen
Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS) | December 2019
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
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
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
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
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
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
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
An Issue in the Martingale Analysis of the Influence Maximization Algorithm IMM
Proceedings of the 7th International Conference on Computational Social Networks (CSoNet'2018) | December 2018
Coreness of Cooperative Games with Truncated Submodular Profit Functions (2018)
Wei Chen, Xiaohan Shan, Xiaoming Sun, Jialin Zhang
2018 Algorithmic Game Theory | September 2018
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
Thompson Sampling for Combinatorial Semi-Bandits
Proceedings of the 35th International Conference on Machine Learning (ICML'2018) | July 2018
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
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
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'2018) | May 2018
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
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
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
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
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
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
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
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
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
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)
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
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)
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
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
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
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.
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.
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)
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
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
On the Power of Breakable Objects
Wei Chen, Guangda Hu, Jialin Zhang
Theoretical Computer Science, 503, Sept. 2013. | September 2013
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
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
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
Sybil-proof Mechanisms in Query Incentive Networks
Wei Chen, Yajun Wang, Dongxiao Yu, Li Zhang
Proceedings of ACM Conference on Electronic Commerce | June 2013
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
Probabilistic Failure Detection for Efficient Distributed Storage Maintenance
Jing Tian, Zhi Yang, Wei Chen, Ben Y. Zhao, Yafei Dai
October 2008
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
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)
Decentralized, Connectivity-Preserving, and Cost-Effective Structured Overlay Maintenance
Yu Chen, Wei Chen
November 2007
An Analytical Framework and Its Applications for Studying Brick Storage Reliability
Ming Chen, Likun Liu, Wei Chen, Zheng Zhang
October 2007
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
Enforcing Routing Consistency in Structured Peer-to-Peer Overlays: Should We and Could We?
Wei Chen, Xuezheng Liu
February 2006
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
On the Impact of Replica Placement to the Reliability of Distributed Brick Storage System
Wei Chen, Zheng Zhang
June 2005
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
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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)
The pure exploration problem with general reward functions depending on full distributions
Machine Learning | July 2022
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
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
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)
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
Scalable Lattice Influence Maximization
Wei Chen, Ruihan Wu, Zheng Yu
IEEE Transactions on Computational Social Systems | August 2020, Vol 7(4): pp. 956-970
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
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
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
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
Complete Submodularity Characterization in the Comparative Independent Cascade Model
Wei Chen, Hanrui Zhang
Theoretical Computer Science | September 2019, Vol 786(27): pp. 78-87
Cumulative Activation in Social Networks
Xiaohan Shan, Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang
Science China Information Sciences | May 2019, Vol 62
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
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
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
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.
社交网络影响力传播研究 (Research on influence diffusion in social networks)
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)
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
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.
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
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
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
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
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
Implementing Uniform Reliable Broadcast with Binary Consensus in Systems with Fair-Lossy Links
Jialin Zhang, Wei Chen
Information Processing Letters | October 2009, Vol 110
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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
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
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Quorum-Based Perfect Failure Detection Service
Wei Chen, Xuezheng Liu, Lidong Zhou, Yunni Xia
MSR-TR-2009-62 | May 2009
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
The Betweenness Centrality Game for Strategic Network Formations
Wei Chen, Shang-Hua Teng, Jiajie Zhu
MSR-TR-2008-167 | November 2008
Abortable Consensus and Its Application to Probabilistic Atomic Broadcast
MSR-TR-2006-135 | September 2007
URCS Technical Report 648
Decentralized, Connectivity-Preserving, and Cost-Effective Structured Overlay Maintenance
Yu Chen, Wei Chen
MSR-TR-2007-84 | July 2007
Partition Approach to Failure Detectors for k-Set Agreement
Wei Chen, Jialin Zhang, Yu Chen, Xuezheng Liu
MSR-TR-2007-49 | May 2007
On Failure Detectors Weaker Than Ever
Wei Chen, Yu Chen, Jialin Zhang
MSR-TR-2007-50 | May 2007
Self-Stabilizing, Cost-Effective, and Fast-Convergent Structured Overlay Maintenance
Yu Chen, Wei Chen
MSR-TR-2006-56 | May 2006
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
Distributed soft-state index management in BitVault — protocols and its correctness
Wei Chen, Zheng Zhang
MSR-TR-2005-88 | September 2005
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
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