Contextual Combinatorial Cascading Bandits. - Shuai Li 010; Baoxiang Wang 001; Shengyu Zhang 002; Wei Chen 013 (ICML, 2016)

Online Clustering of Contextual Cascading Bandits. - Shuai Li 010; Shengyu Zhang 002 (AAAI, 2018)

Drug-Protein-Disease Association Prediction and Drug Repositioning Based on Tensor Decomposition. - Ran Wang; Shuai Li 010; Man Hon Wong 001; Kwong-Sak Leung (BIBM, 2018)

Contextual Dependent Click Bandit Algorithm for Web Recommendation. - Weiwen Liu; Shuai Li 010; Shengyu Zhang 002 (COCOON, 2018)

Offline Evaluation of Ranking Policies with Click Models. - Shuai Li 010; Yasin Abbasi-Yadkori; Branislav Kveton; S. Muthukrishnan 001; Vishwa Vinay; Zheng Wen 002 (KDD, 2018)

TopRank: A practical algorithm for online stochastic ranking. - Tor Lattimore; Branislav Kveton; Shuai Li 010; Csaba Szepesvári (NeurIPS, 2018)

Online Learning to Rank with Features. - Shuai Li 010; Tor Lattimore; Csaba Szepesvári (ICML, 2019)

Improved Algorithm on Online Clustering of Bandits. - Shuai Li 010; Wei Chen 013; Shuai Li 011; Kwong-Sak Leung (IJCAI, 2019)

Improving prediction of phenotypic drug response on cancer cell lines using deep convolutional network. - Pengfei Liu; Hongjian Li; Shuai Li 010; Kwong-Sak Leung (BMC Bioinform., 2019)

Predicting associations among drugs, targets and diseases by tensor decomposition for drug repositioning. - Ran Wang; Shuai Li 010; Lixin Cheng; Man Hon Wong 001; Kwong-Sak Leung (BMC Bioinform., 2019)

Contextual Combinatorial Conservative Bandits. - Xiaojin Zhang 002; Shuai Li 010; Weiwen Liu (CoRR, 2019)

Stochastic Online Learning with Probabilistic Graph Feedback. - Shuai Li 010; Wei Chen 013; Zheng Wen 002; Kwong-Sak Leung (AAAI, 2020)

The Gambler's Problem and Beyond. - Baoxiang Wang 001; Shuai Li 010; Jiajin Li; Siu On Chan (ICLR, 2020)

Online Influence Maximization under Linear Threshold Model. - Shuai Li 010; Fang Kong 002; Kejie Tang; Qizhi Li; Wei Chen 013 (NeurIPS, 2020)

Clustering of Conversational Bandits for User Preference Learning and Elicitation. - Junda Wu; Canzhe Zhao; Tong Yu 001; Jingyang Li; Shuai Li 010 (CIKM, 2021)

Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes. - Junda Wu; Tong Yu 001; Shuai Li 010 (ACM Multimedia, 2021)

Understanding Bandits with Graph Feedback. - Houshuang Chen; Zengfeng Huang; Shuai Li 010; Chihao Zhang 001 (NeurIPS, 2021)

The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle. - Fang Kong 002; Yueran Yang; Wei Chen 013; Shuai Li 010 (NeurIPS, 2021)

A Graph-Enhanced Click Model for Web Search. - Jianghao Lin; Weiwen Liu; Xinyi Dai; Weinan Zhang 001; Shuai Li 010; Ruiming Tang; Xiuqiang He 001; Jianye Hao; Yong Yu 001 (SIGIR, 2021)

Comparison-based Conversational Recommender System with Relative Bandit Feedback. - Zhihui Xie 002; Tong Yu 001; Canzhe Zhao; Shuai Li 010 (SIGIR, 2021)

An Adversarial Imitation Click Model for Information Retrieval. - Xinyi Dai; Jianghao Lin; Weinan Zhang 001; Shuai Li 010; Weiwen Liu; Ruiming Tang; Xiuqiang He 001; Jianye Hao; Jun Wang 012; Yong Yu 001 (WWW, 2021)

Conservative Contextual Combinatorial Cascading Bandit. - Kun Wang; Canzhe Zhao; Shuai Li 010; Shuo Shao (CoRR, 2021)

Cascading Bandit under Differential Privacy. - Kun Wang; Jing Dong 008; Baoxiang Wang 001; Shuai Li 010; Shuo Shao (CoRR, 2021)

Incentivizing an Unknown Crowd. - Jing Dong 008; Shuai Li 010; Baoxiang Wang 001 (CoRR, 2021)

Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model. - Cheng Chen 015; Canzhe Zhao; Shuai Li 010 (AAAI, 2022)

Bandit Learning in Many-to-One Matching Markets. - Zilong Wang 010; Liya Guo; Junming Yin; Shuai Li 010 (CIKM, 2022)

Hierarchical Conversational Preference Elicitation with Bandit Feedback. - Jinhang Zuo; Songwen Hu; Tong Yu 001; Shuai Li 010; Handong Zhao; Carlee Joe-Wong (CIKM, 2022)

Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. - Junda Wu; Rui Wang 088; Tong Yu 001; Ruiyi Zhang 002; Handong Zhao; Shuai Li 010; Ricardo Henao; Ani Nenkova (EMNLP (Findings), 2022)

Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations. - Zhihui Xie 002; Handong Zhao; Tong Yu 001; Shuai Li 010 (EMNLP, 2022)

Cascading Bandit Under Differential Privacy. - Kun Wang; Jing Dong 008; Baoxiang Wang 001; Shuai Li 010 (ICASSP, 2022)

Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback. - Fang Kong 002; Yichi Zhou; Shuai Li 010 (ICML, 2022)

Thompson Sampling for Bandit Learning in Matching Markets. - Fang Kong 002; Junming Yin; Shuai Li 010 (IJCAI, 2022)

Spatial-Temporal Aligned Multi-Agent Learning for Visual Dialog Systems. - Yong Zhuang; Tong Yu 001; Junda Wu; Shiqu Wu; Shuai Li 010 (ACM Multimedia, 2022)

Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation. - Junda Wu; Zhihui Xie 002; Tong Yu 001; Handong Zhao; Ruiyi Zhang 002; Shuai Li 010 (SIGIR, 2022)

Federated online clustering of bandits. - Xutong Liu 002; Haoru Zhao; Tong Yu 001; Shuai Li 010; John C. S. Lui (UAI, 2022)

Combinatorial Bandits under Strategic Manipulations. - Jing Dong 008; Ke Li; Shuai Li 010; Baoxiang Wang 001 (WSDM, 2022)

Knowledge-aware Conversational Preference Elicitation with Bandit Feedback. - Canzhe Zhao; Tong Yu 001; Zhihui Xie 002; Shuai Li 010 (WWW, 2022)

Pretraining in Deep Reinforcement Learning: A Survey. - Zhihui Xie 002; Zichuan Lin; Junyou Li; Shuai Li 010; Deheng Ye (CoRR, 2022)

A Robust and Generalizable Immune-Related Signature for Sepsis Diagnostics. - Yueran Yang; Yu Zhang 151; Shuai Li 010; Xubin Zheng; Man Hon Wong 001; Kwong-Sak Leung; Lixin Cheng (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits. - Zhiyong Wang; Xutong Liu 002; Shuai Li 010; John C. S. Lui (AAAI, 2023)

Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. - Junda Wu; Rui Wang 088; Handong Zhao; Ruiyi Zhang 002; Chaochao Lu; Shuai Li 010; Ricardo Henao (AAAI, 2023)

Understanding Representation Learnability of Nonlinear Self-Supervised Learning. - Ruofeng Yang; Xiangyuan Li; Bo Jiang; Shuai Li 010 (AAAI, 2023)

Online Influence Maximization under Decreasing Cascade Model. - Fang Kong 002; Jize Xie; Baoxiang Wang 001; Tao Yao; Shuai Li 010 (AAMAS, 2023)

Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm. - Fang Kong 002; Canzhe Zhao; Shuai Li 010 (COLT, 2023)

Personalized Diversification for Neural Re-ranking in Recommendation. - Weiwen Liu; Yunjia Xi; Jiarui Qin; Xinyi Dai; Ruiming Tang; Shuai Li 010; Weinan Zhang 001; Rui Zhang 003 (ICDE, 2023)

Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition. - Canzhe Zhao; Ruofeng Yang; Baoxiang Wang 001; Shuai Li 010 (ICLR, 2023)

Stochastic No-regret Learning for General Games with Variance Reduction. - Yichi Zhou; Fang Kong 002; Shuai Li 010 (ICLR, 2023)

Future-conditioned Unsupervised Pretraining for Decision Transformer. - Zhihui Xie 002; Zichuan Lin; Deheng Ye; Qiang Fu 016; Yang Wei; Shuai Li 010 (ICML, 2023)

DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning. - Canzhe Zhao; Yanjie Ze; Jing Dong 008; Baoxiang Wang 001; Shuai Li 010 (IJCAI, 2023)

User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. - Yu Xia 007; Junda Wu; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Shuai Li 010 (KDD, 2023)

Online Clustering of Bandits with Misspecified User Models. - Zhiyong Wang; Jize Xie; Xutong Liu 002; Shuai Li 010; John C. S. Lui (NeurIPS, 2023)

Online Corrupted User Detection and Regret Minimization. - Zhiyong Wang; Jize Xie; Tong Yu 001; Shuai Li 010; John C. S. Lui (NeurIPS, 2023)

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. - Junda Wu; Tong Yu 001; Rui Wang 088; Zhao Song 002; Ruiyi Zhang 002; Handong Zhao; Chaochao Lu; Shuai Li 010; Ricardo Henao (NeurIPS, 2023)

Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback. - Canzhe Zhao; Ruofeng Yang; Baoxiang Wang 001; Xuezhou Zhang; Shuai Li 010 (NeurIPS, 2023)

Adversarial Attacks on Online Learning to Rank with Click Feedback. - Jinhang Zuo; Zhiyao Zhang; Zhiyong Wang; Shuai Li 010; Mohammad Hajiesmaili; Adam Wierman (NeurIPS, 2023)

Player-optimal Stable Regret for Bandit Learning in Matching Markets. - Fang Kong 002; Shuai Li 010 (SODA, 2023)

Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization. - Canzhe Zhao; Yanjie Ze; Jing Dong 008; Baoxiang Wang 001; Shuai Li 010 (WSDM, 2023)

The Closeness of In-Context Learning and Weight Shifting for Softmax Regression. - Shuai Li 010; Zhao Song 002; Yu Xia 007; Tong Yu 001; Tianyi Zhou 002 (CoRR, 2023)

Future-conditioned Unsupervised Pretraining for Decision Transformer. - Zhihui Xie 002; Zichuan Lin; Deheng Ye; Qiang Fu 016; Wei Yang 032; Shuai Li 010 (CoRR, 2023)

Adversarial Attacks on Cooperative Multi-agent Bandits. - Jinhang Zuo; Zhiyao Zhang; Xuchuang Wang; Cheng Chen 015; Shuai Li 010; John C. S. Lui; Mohammad Hajiesmaili; Adam Wierman (CoRR, 2023)

bvnGPS: a generalizable diagnostic model for acute bacterial and viral infection using integrative host transcriptomics and pretrained neural networks. - Qizhi Li; Xubin Zheng; Jize Xie; Ran Wang; Mengyao Li; Man Hon Wong 001; Kwong-Sak Leung; Shuai Li 010; Qingshan Geng; Lixin Cheng (Bioinform., 2023)

Clustering of conversational bandits with posterior sampling for user preference learning and elicitation. - Qizhi Li; Canzhe Zhao; Tong Yu 001; Junda Wu; Shuai Li 010 (User Model. User Adapt. Interact., 2023)

Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility. - Fang Kong 002; Shuai Li 010 (AAAI, 2024)

Sequential Optimum Test with Multi-armed Bandits for Online Experimentation. - Fang Kong 002; Penglei Zhao; Shichao Han; Yong Wang; Shuai Li 010 (CIKM, 2024)

Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification. - Zhehao Zhang 001; Tong Yu 001; Handong Zhao; Kaige Xie; Lina Yao 001; Shuai Li 010 (ICASSP, 2024)

On Stationary Point Convergence of PPO-Clip. - Ruinan Jin; Shuai Li 010; Baoxiang Wang 001 (ICLR, 2024)

Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond. - Xutong Liu 002; Siwei Wang 002; Jinhang Zuo; Han Zhong; Xuchuang Wang; Zhiyong Wang; Shuai Li 010; Mohammad Hajiesmaili; John C. S. Lui; Wei Chen 020 (ICML, 2024)

In-context Learning on Function Classes Unveiled for Transformers. - Zhijie Wang; Bo Jiang; Shuai Li 010 (ICML, 2024)

Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback. - Yu Xia 007; Tong Yu 001; Zhankui He; Handong Zhao; Julian J. McAuley; Shuai Li 010 (NAACL-HLT, 2024)

Hallucination Diversity-Aware Active Learning for Text Summarization. - Yu Xia 007; Xu Liu; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Anup B. Rao; Tung Mai; Shuai Li 010 (NAACL-HLT, 2024)

Calibrating Reasoning in Language Models with Internal Consistency. - Zhihui Xie 002; Jizhou Guo; Tong Yu 001; Shuai Li 010 (NeurIPS, 2024)

Improved Analysis for Bandit Learning in Matching Markets. - Fang Kong 002; Zilong Wang 010; Shuai Li 010 (NeurIPS, 2024)

The Closeness of In-Context Learning and Weight Shifting for Softmax Regression. - Shuai Li 010; Zhao Song 002; Yu Xia 007; Tong Yu 001; Tianyi Zhou 001 (NeurIPS, 2024)

Learning Versatile Skills with Curriculum Masking. - Yao Tang; Zhihui Xie 002; Zichuan Lin; Deheng Ye; Shuai Li 010 (NeurIPS, 2024)

Few-Shot Diffusion Models Escape the Curse of Dimensionality. - Ruofeng Yang; Bo Jiang; Cheng Chen 015; Ruinan Jin; Baoxiang Wang 001; Shuai Li 010 (NeurIPS, 2024)

Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models. - Ruofeng Yang; Zhijie Wang; Bo Jiang; Shuai Li 010 (NeurIPS, 2024)

Interact with the Explanations: Causal Debiased Explainable Recommendation System. - Xu Liu; Tong Yu 001; Kaige Xie; Junda Wu; Shuai Li 010 (WSDM, 2024)

Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. - Yu Xia 007; Fang Kong 002; Tong Yu 001; Liya Guo; Ryan A. Rossi; Sungchul Kim; Shuai Li 010 (WWW, 2024)

Extracting Essential and Disentangled Knowledge for Recommendation Enhancement. - Kounianhua Du; Jizheng Chen; Jianghao Lin; Menghui Zhu; Bo Chen 023; Shuai Li 010; Ruiming Tang (CoRR, 2024)

Optimal analysis for bandit learning in matching markets with serial dictatorship. - Zilong Wang 010; Shuai Li 010 (Theor. Comput. Sci., 2024)

Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization. - Fang Kong 002; Xiangcheng Zhang; Baoxiang Wang 001; Shuai Li 010 (Trans. Mach. Learn. Res., 2024)

Toward joint utilization of absolute and relative bandit feedback for conversational recommendation. - Yu Xia 007; Zhihui Xie 002; Tong Yu 001; Canzhe Zhao; Shuai Li 010 (User Model. User Adapt. Interact., 2024)

Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions. - Canzhe Zhao; Xiangcheng Zhang; Baoxiang Wang 001; Shuai Li 010 (AAAI, 2025)

The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers. - Ruofeng Yang; Bo Jiang; Shuai Li 010 (AISTATS, 2025)

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs. - Yu Xia 007; Rui Wang 088; Xu Liu; Mingyan Li; Tong Yu 001; Xiang Chen; Julian J. McAuley; Shuai Li 010 (COLING, 2025)

Bandit Learning in Matching Markets with Indifference. - Fang Kong 002; Jingqi Tang; Mingzhu Li; Pinyan Lu; John C. S. Lui; Shuai Li 010 (ICLR, 2025)

Adaptive Offline Data Replay in Offline-to-Online Reinforcement Learning. - Xu Liu; Tong Yu 001; Shuai Li 010 (AAMAS, 2025)

Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation. - Canzhe Zhao; Shuze Chen; Weiming Liu 004; Haobo Fu; Qiang Fu 016; Shuai Li 010 (UAI, 2025)

Interactive Visualization Recommendation with Hier-SUCB. - Songwen Hu; Ryan A. Rossi; Tong Yu 001; Junda Wu; Handong Zhao; Sungchul Kim; Shuai Li 010 (WWW, 2025)