SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
ICLR 2025 | April 2025
Dongsheng Li
Principal Research Manager
Publications
Publications by Year
-
What Makes a Good Diffusion Planner for Decision Making?
Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li
ICLR 2025 | March 2025
-
SCBench: A KV Cache-Centric Analysis of Long-Context Methods
Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
ICLR 2025 | December 2024
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
NeurIPS 2024 | December 2024
spotlight
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
Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
NPJ Parkinson's Disease | December 2024, Vol 10
Towards Editing Time Series
Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren
2024 Neural Information Processing Systems | December 2024
Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
June 2024
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li
IJCAI 2024 | May 2024
Addressing Signal Delay in Deep Reinforcement Learning
Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
ICLR 2024 | May 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
NeurIPS 2024 | May 2024
CNN Kernels Can Be the Best Shapelets
Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li
The Twelfth International Conference on Learning Representations | May 2024
Disentangled Prompt Representation for Domain Generalization
De Cheng, Zhipeng Xu, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao
CVPR 2024 | May 2024
Synergizing habits and goals with variational Bayes
Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani
Nature Communications | May 2024
Training-free Multi-objective Diffusion Model for 3D Molecule Generation
Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
ICLR 2024 | April 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
NeurIPS 2024 | March 2024
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
ICML 2024 | February 2024
-
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao
AAAI 2024 | December 2023
Large Multimodal Model for Real-World Radiology Report Generation
Brian Nlong Zhao, Xinyang Jiang, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu
December 2023
TaskBench: Benchmarking Large Language Models for Task Automation
Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Y. Zhuang
NeurIPS 2024 | November 2023
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) | October 2023
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna K. Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
INTERSPEECH 2023 | August 2023
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
ICML 2023 | August 2023
A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
Jinchao Li, Xixin Wu, Kaitao Song, Dongsheng Li, Xunying Liu, Helen Meng
ICASSP 2023 | June 2023
Leveraging Pretrained Representations with Task-related Keywords for Alzheimer’s Disease Detection
Jinchao Li, Kaitao Song, Junan Li, Bo Zheng, Dongsheng Li, Xixin Wu, Xunying Liu, Helen Meng
ICASSP 2023 | June 2023
Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu
ICASSP 23 | June 2023
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
Eric Qu, Xufang Luo, Dongsheng Li
ICLR 23 | May 2023
Spotlight
EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
Shuguang Dou, Xinyang Jiang, Cairong Zhao, Dongsheng Li
ICLR 23 | May 2023
Spotlight
Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang
ICLR 23 | May 2023
SIMPLE: Specialized Model-Sample Matching for Domain Generalization
Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
ICLR 23 | May 2023
Towards Understanding Omission in Dialogue Summarization
Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li, Tao Gui
The 61st Annual Meeting of the Association for Computational Linguistics | May 2023
Personalized Graph Signal Processing for Collaborative Filtering
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
WWW 23 | April 2023
Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
WWW 23 | April 2023
Online Video Super-Resolution with Convolutional Kernel Bypass Graft
Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam
IEEE Transactions on Multimedia | February 2023
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
AAAI 2023 | February 2023
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
AAAI 2023 | February 2023
Similarity Distribution based Membership Inference Attack on Person Re-identification
Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao
AAAI 2023 | February 2023
Towards Inference Efficient Deep Ensemble Learning
Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
AAAI 23 | February 2023
-
Bootstrapped Transformer for Offline Reinforcement Learning
Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
NeurIPS 2022 | November 2022
Parameter-free Dynamic Graph Embedding for Link Prediction
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
2022 Neural Information Processing Systems | October 2022
Reinforcement Learning with Automated Auxiliary Loss Search
Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
2022 Neural Information Processing Systems | October 2022
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
Che Wang, Xufang Luo, Keith Ross, Dongsheng Li
2022 Neural Information Processing Systems | September 2022
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
KDD 2022 | August 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
ICML 2022 | July 2022
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
IJCAI 2022 | July 2022
Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling
Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li
2022 Neural Information Processing Systems | June 2022
Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna K. Qiu, Jiahang Xu, Yuqing Yang, Liping Jiang, Qun Lou, Dongsheng Li, Xudong Wang, Lili Qiu
INTERSPEECH 2022 | June 2022
RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
CVPR 2022 | June 2022
Metabolic characterization of hypertrophic cardiomyopathy in human heart
Wenmin Wang, Jizheng Wang, Ke Yao, Shuiyun Wang, Meng Nie, Yizi Zhao, Bohong Wang, Huanhuan Pang, Jingjing Xu, Guixin Wu, Minjie Lu, Nan Tang, Chunmei Qi, Hengzhi Pei, Xufang Luo, Dongsheng Li, Tianshu Yang, Qing Sun, Xiang Wei, Yan Li, ingsheng Jiang, Peng Li, Lei Song, Zeping Hu
Nature Cardiovascular Research | May 2022, Vol 1: pp. 445-461
Accurate and Explainable Recommendation via Review Rationalization
Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu
TheWebConf 2022 | April 2022
Cross-Modal Ambiguity Learning for Multimodal Fake News Detection
Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Lu Tun, Li Shang
TheWebConf 2022 | April 2022
FIRE: Fast Incremental Recommendation with Graph Signal Processing
Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu
TheWebConf 2022 | April 2022
MINDSim: User Simulator for News Recommenders
Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
TheWebConf 2022 | April 2022
Recursive Disentanglement Network
Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert Dick, Qin Lv, Fan Yang, Li Shang
ICLR 2022 | April 2022
Variational oracle guiding for reinforcement learning
Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
ICLR 2022 | April 2022
Variational oracle guiding for reinforcement learning
Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
2022 International Conference on Learning Representations | March 2022
Invariant Information Bottleneck for Domain Generalization
Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
AAAI 2022 | February 2022
Neural Piecewise-Constant Delay Differential Equations
Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin
AAAI 2022 | February 2022
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Recognizing Vector Graphics without Rasterization
Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
NeurIPS 2021 | December 2021
Reinforcement Learning Enhanced Explainer for Graph Neural Networks
Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
NeurIPS 2021 | December 2021
Towards Generating Real-World Time Series Data
Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
ICDM 21 | November 2021
How Powerful is Graph Convolution for Recommendation?
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled Ben Letaief, Dongsheng Li
Conference on Information and Knowledge Management (Oral) | November 2021
Project: Inductive bias in neural architectures
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
2021 Conference on Information and Knowledge Management | October 2021
How Powerful is Graph Convolution for Recommendation
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
2021 Conference on Information and Knowledge Management | October 2021
Incremental Graph Convolutional Network for Collaborative Filtering
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
2021 Conference on Information and Knowledge Management | October 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
ICCV 2021 | October 2021
Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.
Xiaofan Xing, Yuankang Xiong, Ruipu Yang, Rong Wang, Weibing Wang, Haidong Kan, Tun Lu, Dongsheng Li, Junji Cao, Josep Peñuelas, Philippe Ciais, Nico Bauer, Olivier Boucher, Yves Balkanski, Didier Hauglustaine, Guy Brasseur, Lidia Morawska, Ivan A Janssens, Xiangrong Wang, Jordi Sardans, Yijing Wang, Yifei Deng, Lin Wang, Jianmin Chen, Xu Tang, Renhe Zhang
Proceedings of the National Academy of Sciences of the United States of America | August 2021, Vol 118(33)
DOI Publication Publication Publication Publication Publication Publication Project
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
Sanshi Yu, Zhuoxuan Jiang, Dong-Dong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi
KDD 2021 | August 2021
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering
Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang
ACM Transactions on Knowledge Discovery From Data | May 2021, Vol 15(6): pp. 1-20
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang
Thirty-Fifth AAAI Conference on Artificial Intelligence | May 2021
A Reinforcement-Learning-based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
IEEE Transactions on Multimedia | April 2021
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang
IEEE Transactions on Knowledge and Data Engineering | January 2021, (01): pp. 1-1
Publications by Research Area
-
SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
ICLR 2025 | April 2025
What Makes a Good Diffusion Planner for Decision Making?
Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li
ICLR 2025 | March 2025
SCBench: A KV Cache-Centric Analysis of Long-Context Methods
Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
ICLR 2025 | December 2024
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
NeurIPS 2024 | December 2024
spotlight
Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
NPJ Parkinson's Disease | December 2024, Vol 10
Towards Editing Time Series
Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren
2024 Neural Information Processing Systems | 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
Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
June 2024
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li
IJCAI 2024 | May 2024
Addressing Signal Delay in Deep Reinforcement Learning
Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
ICLR 2024 | May 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
NeurIPS 2024 | May 2024
Synergizing habits and goals with variational Bayes
Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani
Nature Communications | May 2024
CNN Kernels Can Be the Best Shapelets
Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li
The Twelfth International Conference on Learning Representations | May 2024
Training-free Multi-objective Diffusion Model for 3D Molecule Generation
Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
ICLR 2024 | April 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
NeurIPS 2024 | March 2024
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
ICML 2024 | February 2024
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao
AAAI 2024 | December 2023
Large Multimodal Model for Real-World Radiology Report Generation
Brian Nlong Zhao, Xinyang Jiang, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu
December 2023
TaskBench: Benchmarking Large Language Models for Task Automation
Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Y. Zhuang
NeurIPS 2024 | November 2023
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) | October 2023
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna K. Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
INTERSPEECH 2023 | August 2023
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
ICML 2023 | August 2023
Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu
ICASSP 23 | June 2023
Towards Understanding Omission in Dialogue Summarization
Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li, Tao Gui
The 61st Annual Meeting of the Association for Computational Linguistics | May 2023
EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
Shuguang Dou, Xinyang Jiang, Cairong Zhao, Dongsheng Li
ICLR 23 | May 2023
Spotlight
SIMPLE: Specialized Model-Sample Matching for Domain Generalization
Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
ICLR 23 | May 2023
Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang
ICLR 23 | May 2023
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
Eric Qu, Xufang Luo, Dongsheng Li
ICLR 23 | May 2023
Spotlight
Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
WWW 23 | April 2023
Personalized Graph Signal Processing for Collaborative Filtering
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
WWW 23 | April 2023
Towards Inference Efficient Deep Ensemble Learning
Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
AAAI 23 | February 2023
Similarity Distribution based Membership Inference Attack on Person Re-identification
Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao
AAAI 2023 | February 2023
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
AAAI 2023 | February 2023
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
AAAI 2023 | February 2023
Bootstrapped Transformer for Offline Reinforcement Learning
Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
NeurIPS 2022 | November 2022
Parameter-free Dynamic Graph Embedding for Link Prediction
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
2022 Neural Information Processing Systems | October 2022
Reinforcement Learning with Automated Auxiliary Loss Search
Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
2022 Neural Information Processing Systems | October 2022
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
Che Wang, Xufang Luo, Keith Ross, Dongsheng Li
2022 Neural Information Processing Systems | September 2022
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
KDD 2022 | August 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
ICML 2022 | July 2022
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
IJCAI 2022 | July 2022
Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling
Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li
2022 Neural Information Processing Systems | June 2022
Metabolic characterization of hypertrophic cardiomyopathy in human heart
Wenmin Wang, Jizheng Wang, Ke Yao, Shuiyun Wang, Meng Nie, Yizi Zhao, Bohong Wang, Huanhuan Pang, Jingjing Xu, Guixin Wu, Minjie Lu, Nan Tang, Chunmei Qi, Hengzhi Pei, Xufang Luo, Dongsheng Li, Tianshu Yang, Qing Sun, Xiang Wei, Yan Li, ingsheng Jiang, Peng Li, Lei Song, Zeping Hu
Nature Cardiovascular Research | May 2022, Vol 1: pp. 445-461
Variational oracle guiding for reinforcement learning
Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
ICLR 2022 | April 2022
Recursive Disentanglement Network
Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert Dick, Qin Lv, Fan Yang, Li Shang
ICLR 2022 | April 2022
Variational oracle guiding for reinforcement learning
Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
2022 International Conference on Learning Representations | March 2022
Neural Piecewise-Constant Delay Differential Equations
Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin
AAAI 2022 | February 2022
Invariant Information Bottleneck for Domain Generalization
Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
AAAI 2022 | February 2022
Reinforcement Learning Enhanced Explainer for Graph Neural Networks
Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
NeurIPS 2021 | December 2021
Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.
Xiaofan Xing, Yuankang Xiong, Ruipu Yang, Rong Wang, Weibing Wang, Haidong Kan, Tun Lu, Dongsheng Li, Junji Cao, Josep Peñuelas, Philippe Ciais, Nico Bauer, Olivier Boucher, Yves Balkanski, Didier Hauglustaine, Guy Brasseur, Lidia Morawska, Ivan A Janssens, Xiangrong Wang, Jordi Sardans, Yijing Wang, Yifei Deng, Lin Wang, Jianmin Chen, Xu Tang, Renhe Zhang
Proceedings of the National Academy of Sciences of the United States of America | August 2021, Vol 118(33)
DOI Publication Publication Publication Publication Publication Publication Project
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
Sanshi Yu, Zhuoxuan Jiang, Dong-Dong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi
KDD 2021 | August 2021
-
SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
ICLR 2025 | April 2025
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SCBench: A KV Cache-Centric Analysis of Long-Context Methods
Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
ICLR 2025 | December 2024
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
NeurIPS 2024 | December 2024
spotlight
Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
June 2024
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) | October 2023
Towards Understanding Omission in Dialogue Summarization
Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li, Tao Gui
The 61st Annual Meeting of the Association for Computational Linguistics | May 2023
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Disentangled Prompt Representation for Domain Generalization
De Cheng, Zhipeng Xu, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao
CVPR 2024 | May 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
NeurIPS 2024 | March 2024
Online Video Super-Resolution with Convolutional Kernel Bypass Graft
Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam
IEEE Transactions on Multimedia | February 2023
Similarity Distribution based Membership Inference Attack on Person Re-identification
Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao
AAAI 2023 | February 2023
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
Che Wang, Xufang Luo, Keith Ross, Dongsheng Li
2022 Neural Information Processing Systems | September 2022
RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
CVPR 2022 | June 2022
Recognizing Vector Graphics without Rasterization
Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
NeurIPS 2021 | December 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
ICCV 2021 | October 2021
A Reinforcement-Learning-based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
IEEE Transactions on Multimedia | April 2021
-
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
NeurIPS 2024 | December 2024
spotlight
-
Large Multimodal Model for Real-World Radiology Report Generation
Brian Nlong Zhao, Xinyang Jiang, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu
December 2023
Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu
ICASSP 23 | June 2023
Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna K. Qiu, Jiahang Xu, Yuqing Yang, Liping Jiang, Qun Lou, Dongsheng Li, Xudong Wang, Lili Qiu
INTERSPEECH 2022 | June 2022
Metabolic characterization of hypertrophic cardiomyopathy in human heart
Wenmin Wang, Jizheng Wang, Ke Yao, Shuiyun Wang, Meng Nie, Yizi Zhao, Bohong Wang, Huanhuan Pang, Jingjing Xu, Guixin Wu, Minjie Lu, Nan Tang, Chunmei Qi, Hengzhi Pei, Xufang Luo, Dongsheng Li, Tianshu Yang, Qing Sun, Xiang Wei, Yan Li, ingsheng Jiang, Peng Li, Lei Song, Zeping Hu
Nature Cardiovascular Research | May 2022, Vol 1: pp. 445-461
-
SIMPLE: Specialized Model-Sample Matching for Domain Generalization
Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
ICLR 23 | May 2023
Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang
ICLR 23 | May 2023
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
Eric Qu, Xufang Luo, Dongsheng Li
ICLR 23 | May 2023
Spotlight
Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
WWW 23 | April 2023
Personalized Graph Signal Processing for Collaborative Filtering
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
WWW 23 | April 2023
Towards Inference Efficient Deep Ensemble Learning
Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
AAAI 23 | February 2023
Towards Generating Real-World Time Series Data
Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
ICDM 21 | November 2021
How Powerful is Graph Convolution for Recommendation
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
2021 Conference on Information and Knowledge Management | October 2021
Incremental Graph Convolutional Network for Collaborative Filtering
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
2021 Conference on Information and Knowledge Management | October 2021
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
2021 Conference on Information and Knowledge Management | October 2021
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering
Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang
ACM Transactions on Knowledge Discovery From Data | May 2021, Vol 15(6): pp. 1-20
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang
Thirty-Fifth AAAI Conference on Artificial Intelligence | May 2021
A Reinforcement-Learning-based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
IEEE Transactions on Multimedia | April 2021
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang
IEEE Transactions on Knowledge and Data Engineering | January 2021, (01): pp. 1-1
-
EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
Shuguang Dou, Xinyang Jiang, Cairong Zhao, Dongsheng Li
ICLR 23 | May 2023
Spotlight
-
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna K. Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
INTERSPEECH 2023 | August 2023
A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
Jinchao Li, Xixin Wu, Kaitao Song, Dongsheng Li, Xunying Liu, Helen Meng
ICASSP 2023 | June 2023
Leveraging Pretrained Representations with Task-related Keywords for Alzheimer’s Disease Detection
Jinchao Li, Kaitao Song, Junan Li, Bo Zheng, Dongsheng Li, Xixin Wu, Xunying Liu, Helen Meng
ICASSP 2023 | June 2023
Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna K. Qiu, Jiahang Xu, Yuqing Yang, Liping Jiang, Qun Lou, Dongsheng Li, Xudong Wang, Lili Qiu
INTERSPEECH 2022 | June 2022
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FIRE: Fast Incremental Recommendation with Graph Signal Processing
Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu
TheWebConf 2022 | April 2022
MINDSim: User Simulator for News Recommenders
Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
TheWebConf 2022 | April 2022
Cross-Modal Ambiguity Learning for Multimodal Fake News Detection
Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Lu Tun, Li Shang
TheWebConf 2022 | April 2022
Accurate and Explainable Recommendation via Review Rationalization
Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu
TheWebConf 2022 | April 2022
How Powerful is Graph Convolution for Recommendation?
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled Ben Letaief, Dongsheng Li
Conference on Information and Knowledge Management (Oral) | November 2021
Project: Inductive bias in neural architectures
How Powerful is Graph Convolution for Recommendation
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
2021 Conference on Information and Knowledge Management | October 2021
Incremental Graph Convolutional Network for Collaborative Filtering
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
2021 Conference on Information and Knowledge Management | October 2021
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
2021 Conference on Information and Knowledge Management | October 2021
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering
Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang
ACM Transactions on Knowledge Discovery From Data | May 2021, Vol 15(6): pp. 1-20
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang
Thirty-Fifth AAAI Conference on Artificial Intelligence | May 2021
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang
IEEE Transactions on Knowledge and Data Engineering | January 2021, (01): pp. 1-1
-
Towards Generating Real-World Time Series Data
Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
ICDM 21 | November 2021
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
Sanshi Yu, Zhuoxuan Jiang, Dong-Dong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi
KDD 2021 | August 2021
Publications by Type
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SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
ICLR 2025 | April 2025
What Makes a Good Diffusion Planner for Decision Making?
Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li
ICLR 2025 | March 2025
SCBench: A KV Cache-Centric Analysis of Long-Context Methods
Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
ICLR 2025 | December 2024
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
NeurIPS 2024 | December 2024
spotlight
Towards Editing Time Series
Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren
2024 Neural Information Processing Systems | 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
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li
IJCAI 2024 | May 2024
Addressing Signal Delay in Deep Reinforcement Learning
Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
ICLR 2024 | May 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
NeurIPS 2024 | May 2024
Disentangled Prompt Representation for Domain Generalization
De Cheng, Zhipeng Xu, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao
CVPR 2024 | May 2024
CNN Kernels Can Be the Best Shapelets
Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li
The Twelfth International Conference on Learning Representations | May 2024
Training-free Multi-objective Diffusion Model for 3D Molecule Generation
Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
ICLR 2024 | April 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
NeurIPS 2024 | March 2024
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
ICML 2024 | February 2024
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao
AAAI 2024 | December 2023
TaskBench: Benchmarking Large Language Models for Task Automation
Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Y. Zhuang
NeurIPS 2024 | November 2023
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) | October 2023
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna K. Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
INTERSPEECH 2023 | August 2023
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
ICML 2023 | August 2023
Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu
ICASSP 23 | June 2023
A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
Jinchao Li, Xixin Wu, Kaitao Song, Dongsheng Li, Xunying Liu, Helen Meng
ICASSP 2023 | June 2023
Leveraging Pretrained Representations with Task-related Keywords for Alzheimer’s Disease Detection
Jinchao Li, Kaitao Song, Junan Li, Bo Zheng, Dongsheng Li, Xixin Wu, Xunying Liu, Helen Meng
ICASSP 2023 | June 2023
Towards Understanding Omission in Dialogue Summarization
Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li, Tao Gui
The 61st Annual Meeting of the Association for Computational Linguistics | May 2023
EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
Shuguang Dou, Xinyang Jiang, Cairong Zhao, Dongsheng Li
ICLR 23 | May 2023
Spotlight
SIMPLE: Specialized Model-Sample Matching for Domain Generalization
Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
ICLR 23 | May 2023
Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang
ICLR 23 | May 2023
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
Eric Qu, Xufang Luo, Dongsheng Li
ICLR 23 | May 2023
Spotlight
Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
WWW 23 | April 2023
Personalized Graph Signal Processing for Collaborative Filtering
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
WWW 23 | April 2023
Towards Inference Efficient Deep Ensemble Learning
Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
AAAI 23 | February 2023
Similarity Distribution based Membership Inference Attack on Person Re-identification
Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao
AAAI 2023 | February 2023
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
AAAI 2023 | February 2023
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
AAAI 2023 | February 2023
Bootstrapped Transformer for Offline Reinforcement Learning
Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
NeurIPS 2022 | November 2022
Parameter-free Dynamic Graph Embedding for Link Prediction
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
2022 Neural Information Processing Systems | October 2022
Reinforcement Learning with Automated Auxiliary Loss Search
Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
2022 Neural Information Processing Systems | October 2022
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
Che Wang, Xufang Luo, Keith Ross, Dongsheng Li
2022 Neural Information Processing Systems | September 2022
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
KDD 2022 | August 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
ICML 2022 | July 2022
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
IJCAI 2022 | July 2022
Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling
Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li
2022 Neural Information Processing Systems | June 2022
Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna K. Qiu, Jiahang Xu, Yuqing Yang, Liping Jiang, Qun Lou, Dongsheng Li, Xudong Wang, Lili Qiu
INTERSPEECH 2022 | June 2022
RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
CVPR 2022 | June 2022
FIRE: Fast Incremental Recommendation with Graph Signal Processing
Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu
TheWebConf 2022 | April 2022
MINDSim: User Simulator for News Recommenders
Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
TheWebConf 2022 | April 2022
Cross-Modal Ambiguity Learning for Multimodal Fake News Detection
Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Lu Tun, Li Shang
TheWebConf 2022 | April 2022
Accurate and Explainable Recommendation via Review Rationalization
Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu
TheWebConf 2022 | April 2022
Variational oracle guiding for reinforcement learning
Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
ICLR 2022 | April 2022
Recursive Disentanglement Network
Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert Dick, Qin Lv, Fan Yang, Li Shang
ICLR 2022 | April 2022
Variational oracle guiding for reinforcement learning
Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
2022 International Conference on Learning Representations | March 2022
Neural Piecewise-Constant Delay Differential Equations
Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin
AAAI 2022 | February 2022
Invariant Information Bottleneck for Domain Generalization
Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
AAAI 2022 | February 2022
Reinforcement Learning Enhanced Explainer for Graph Neural Networks
Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
NeurIPS 2021 | December 2021
Recognizing Vector Graphics without Rasterization
Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
NeurIPS 2021 | December 2021
Towards Generating Real-World Time Series Data
Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
ICDM 21 | November 2021
How Powerful is Graph Convolution for Recommendation?
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled Ben Letaief, Dongsheng Li
Conference on Information and Knowledge Management (Oral) | November 2021
Project: Inductive bias in neural architectures
How Powerful is Graph Convolution for Recommendation
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
2021 Conference on Information and Knowledge Management | October 2021
Incremental Graph Convolutional Network for Collaborative Filtering
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
2021 Conference on Information and Knowledge Management | October 2021
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
2021 Conference on Information and Knowledge Management | October 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li
ICCV 2021 | October 2021
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
Sanshi Yu, Zhuoxuan Jiang, Dong-Dong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi
KDD 2021 | August 2021
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang
Thirty-Fifth AAAI Conference on Artificial Intelligence | May 2021
-
Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
NPJ Parkinson's Disease | December 2024, Vol 10
Synergizing habits and goals with variational Bayes
Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani
Nature Communications | May 2024
Online Video Super-Resolution with Convolutional Kernel Bypass Graft
Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam
IEEE Transactions on Multimedia | February 2023
Metabolic characterization of hypertrophic cardiomyopathy in human heart
Wenmin Wang, Jizheng Wang, Ke Yao, Shuiyun Wang, Meng Nie, Yizi Zhao, Bohong Wang, Huanhuan Pang, Jingjing Xu, Guixin Wu, Minjie Lu, Nan Tang, Chunmei Qi, Hengzhi Pei, Xufang Luo, Dongsheng Li, Tianshu Yang, Qing Sun, Xiang Wei, Yan Li, ingsheng Jiang, Peng Li, Lei Song, Zeping Hu
Nature Cardiovascular Research | May 2022, Vol 1: pp. 445-461
Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.
Xiaofan Xing, Yuankang Xiong, Ruipu Yang, Rong Wang, Weibing Wang, Haidong Kan, Tun Lu, Dongsheng Li, Junji Cao, Josep Peñuelas, Philippe Ciais, Nico Bauer, Olivier Boucher, Yves Balkanski, Didier Hauglustaine, Guy Brasseur, Lidia Morawska, Ivan A Janssens, Xiangrong Wang, Jordi Sardans, Yijing Wang, Yifei Deng, Lin Wang, Jianmin Chen, Xu Tang, Renhe Zhang
Proceedings of the National Academy of Sciences of the United States of America | August 2021, Vol 118(33)
DOI Publication Publication Publication Publication Publication Publication Project
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering
Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang
ACM Transactions on Knowledge Discovery From Data | May 2021, Vol 15(6): pp. 1-20
A Reinforcement-Learning-based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang
IEEE Transactions on Multimedia | April 2021
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang
IEEE Transactions on Knowledge and Data Engineering | January 2021, (01): pp. 1-1
-
Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
June 2024
Large Multimodal Model for Real-World Radiology Report Generation
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