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

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

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

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

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

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

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)

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)

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)

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)

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)

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)