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Shuai Li

Shanghai Jiao Tong University, John Hopcroft Center for Computer Science, Shanghai, China

26 papers at tracked venues · 18 at CORE A* · active 2024–2025

DBLP profile ↗ORCID 0000-0002-3935-0708 ↗Google Scholar ↗Homepage ↗

Venues

ICML ×6NeurIPS ×6AAAI ×2ICLR ×2NAACL ×2WWW ×2AAMAS ×1AISTATS ×1CIKM ×1IJCAI ×1UAI ×1WSDM ×1

Frequent coauthors

Tong Yu
×9
Fang Kong
×5
Bo Jiang
×5
Xu Liu
×4
Ruofeng Yang
×4
Baoxiang Wang
×4
Yu Xia
×4
Ryan A. Rossi
×3
Sungchul Kim
×3
Canzhe Zhao
×3
John C. S. Lui
×2
Cheng Chen
×2

Papers

  1. Adaptive Offline Data Replay in Offline-to-Online Reinforcement Learning
    AAMAS 2025 ·
    Xu Liu
    ,
    Tong Yu
    , Shuai Li
  2. Bandit Learning in Matching Markets with Indifference
    ICLR 2025 ·
    Fang Kong
    ,
    Jingqi Tang
    ,
    Mingzhu Li
    ,
    Pinyan Lu
    ,
    John C. S. Lui
    , Shuai Li
  3. Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition
    IJCAI 2025 ·
    Dongxie Wen
    ,
    Xiao Zhang
    ,
    Zhewei Wei
    ,
    Chenping Hou
    , Shuai Li,
    Weinan Zhang
  4. Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme
    ICML 2025 ·
    Ruofeng Yang
    ,
    Bo Jiang
    ,
    Cheng Chen
    , Shuai Li
  5. Interactive Visualization Recommendation with Hier-SUCB
    WWW 2025 ·
    Songwen Hu
    ,
    Ryan A. Rossi
    ,
    Tong Yu
    ,
    Junda Wu
    ,
    Handong Zhao
    ,
    Sungchul Kim
    , Shuai Li
  6. Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback
    ICML 2025 ·
    Canzhe Zhao
    ,
    Yutian Cheng
    ,
    Jing Dong
    ,
    Baoxiang Wang
    , Shuai Li
  7. Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions
    AAAI 2025 ·
    Canzhe Zhao
    ,
    Xiangcheng Zhang
    ,
    Baoxiang Wang
    , Shuai Li
  8. Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
    ICML 2025 ·
    Xiao Huang
    ,
    Xu Liu
    ,
    Enze Zhang
    ,
    Tong Yu
    , Shuai Li
  9. Optimal Algorithm for Max-Min Fair Bandit
    ICML 2025 ·
    Zilong Wang
    ,
    Zhiyao Zhang
    , Shuai Li
  10. The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers
    AISTATS 2025 ·
    Ruofeng Yang
    ,
    Bo Jiang
    , Shuai Li
  11. Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation
    UAI 2025 ·
    Canzhe Zhao
    ,
    Shuze Chen
    ,
    Weiming Liu
    ,
    Haobo Fu
    ,
    Qiang Fu
    , Shuai Li
  12. Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback
    NAACL 2024 ·
    Yu Xia
    ,
    Tong Yu
    ,
    Zhankui He
    ,
    Handong Zhao
    ,
    Julian J. McAuley
    , Shuai Li
  13. Calibrating Reasoning in Language Models with Internal Consistency
    NeurIPS 2024 ·
    Zhihui Xie
    ,
    Jizhou Guo
    ,
    Tong Yu
    , Shuai Li
  14. Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
    ICML 2024 ·
    Xutong Liu
    ,
    Siwei Wang
    ,
    Jinhang Zuo
    ,
    Han Zhong
    ,
    Xuchuang Wang
    ,
    Zhiyong Wang
    , Shuai Li,
    Mohammad Hajiesmaili
    ,
    John C. S. Lui
    ,
    Wei Chen
  15. Few-Shot Diffusion Models Escape the Curse of Dimensionality
    NeurIPS 2024 ·
    Ruofeng Yang
    ,
    Bo Jiang
    ,
    Cheng Chen
    ,
    Ruinan Jin
    ,
    Baoxiang Wang
    , Shuai Li
  16. Hallucination Diversity-Aware Active Learning for Text Summarization
    NAACL 2024 ·
    Yu Xia
    ,
    Xu Liu
    ,
    Tong Yu
    ,
    Sungchul Kim
    ,
    Ryan A. Rossi
    ,
    Anup B. Rao
    ,
    Tung Mai
    , Shuai Li
  17. Improved Analysis for Bandit Learning in Matching Markets
    NeurIPS 2024 ·
    Fang Kong
    ,
    Zilong Wang
    , Shuai Li
  18. Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility
    AAAI 2024 ·
    Fang Kong
    , Shuai Li
  19. In-context Learning on Function Classes Unveiled for Transformers
    ICML 2024 ·
    Zhijie Wang
    ,
    Bo Jiang
    , Shuai Li
  20. Interact with the Explanations: Causal Debiased Explainable Recommendation System
    WSDM 2024 ·
    Xu Liu
    ,
    Tong Yu
    ,
    Kaige Xie
    ,
    Junda Wu
    , Shuai Li
  21. Learning Versatile Skills with Curriculum Masking
    NeurIPS 2024 ·
    Yao Tang
    ,
    Zhihui Xie
    ,
    Zichuan Lin
    ,
    Deheng Ye
    , Shuai Li
  22. Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models
    NeurIPS 2024 ·
    Ruofeng Yang
    ,
    Zhijie Wang
    ,
    Bo Jiang
    , Shuai Li
  23. On Stationary Point Convergence of PPO-Clip
    ICLR 2024 ·
    Ruinan Jin
    , Shuai Li,
    Baoxiang Wang
  24. Sequential Optimum Test with Multi-armed Bandits for Online Experimentation
    CIKM 2024 ·
    Fang Kong
    ,
    Penglei Zhao
    ,
    Shichao Han
    ,
    Yong Wang
    , Shuai Li
  25. The Closeness of In-Context Learning and Weight Shifting for Softmax Regression
    NeurIPS 2024 · Shuai Li,
    Zhao Song
    ,
    Yu Xia
    ,
    Tong Yu
    ,
    Tianyi Zhou
  26. Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits
    WWW 2024 ·
    Yu Xia
    ,
    Fang Kong
    ,
    Tong Yu
    ,
    Liya Guo
    ,
    Ryan A. Rossi
    ,
    Sungchul Kim
    , Shuai Li