Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning. - Tian Tan 003; Zhihan Xiong; Vikranth R. Dwaracherla (AAAI, 2020)

Selective Sampling for Online Best-arm Identification. - Romain Camilleri; Zhihan Xiong; Maryam Fazel; Lalit Jain; Kevin G. Jamieson (NeurIPS, 2021)

Randomized Exploration is Near-Optimal for Tabular MDP. - Zhihan Xiong; Ruoqi Shen; Simon S. Du (CoRR, 2021)

Fourier Learning with Cyclical Data. - Yingxiang Yang; Zhihan Xiong; Tianyi Liu; Taiqing Wang; Chong Wang (ICML, 2022)

Learning in Congestion Games with Bandit Feedback. - Qiwen Cui; Zhihan Xiong; Maryam Fazel; Simon S. Du (NeurIPS, 2022)

Near-Optimal Randomized Exploration for Tabular Markov Decision Processes. - Zhihan Xiong; Ruoqi Shen; Qiwen Cui; Maryam Fazel; Simon S. Du (NeurIPS, 2022)

How Hypergraph-to-Graph Conversion Affects Cooperative Working Visualization: A Multi-metric Evaluation. - Zhihan Xiong; Ruixin Mu; Chongshen Yang; Wenjun Xie; Qiang Lu 002 (ChineseCSCW (1), 2023)

Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement. - Haozhe Jiang; Qiwen Cui; Zhihan Xiong; Maryam Fazel; Simon Shaolei Du (ICLR, 2023)

A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity. - Zhihan Xiong; Romain Camilleri; Maryam Fazel; Lalit Jain; Kevin G. Jamieson (AISTATS, 2024)

A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning. - Haozhe Jiang; Qiwen Cui; Zhihan Xiong; Maryam Fazel; Simon Shaolei Du (ICLR, 2024)

Dual Approximation Policy Optimization. - Zhihan Xiong; Maryam Fazel; Lin Xiao (CoRR, 2024)

Language Model Preference Evaluation with Multiple Weak Evaluators. - Zhengyu Hu; Jieyu Zhang 001; Zhihan Xiong; Alexander Ratner; Hui Xiong 001; Ranjay Krishna (CoRR, 2024)

Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration. - Avinandan Bose; Zhihan Xiong; Aadirupa Saha; Simon Shaolei Du; Maryam Fazel (CoRR, 2024)

LoRe: Personalizing LLMs via Low-Rank Reward Modeling. - Avinandan Bose; Zhihan Xiong; Yuejie Chi; Simon Shaolei Du; Lin Xiao; Maryam Fazel (CoRR, 2025)