Zhihan Xiong - RankMe

23 papers A* 8A 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On The Complexity of Best-Arm Identification in Non-Stationary Linear Bandits. CoRR Leo Maynard-Zhang, Zhihan Xiong, Kevin Jamieson, Maryam Fazel
2026	A*	`conf`	Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators. AAAI Zhengyu Hu, Jieyu Zhang, Zhihan Xiong, Alexander Ratner, Kaize Ding, Ranjay Krishna
2025	—	`conf`	Fault Tolerant and Intelligent Reliability Assurance in Cloud-Edge Systems. DSA Zhihan Xiong, Sa Meng, Shen Yao, Liang Luo
2025	J	`jnl`	LoRe: Personalizing LLMs via Low-Rank Reward Modeling. CoRR Avinandan Bose, Zhihan Xiong, Yuejie Chi, Simon Shaolei Du, Lin Xiao, Maryam Fazel
2024	A*	`conf`	A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning. ICLR Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du
2024	A	`conf`	A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity. AISTATS Zhihan Xiong, Romain Camilleri, Maryam Fazel, Lalit Jain, Kevin Jamieson
2024	J	`jnl`	Dual Approximation Policy Optimization. CoRR Zhihan Xiong, Maryam Fazel, Lin Xiao
2024	J	`jnl`	Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration. CoRR Avinandan Bose, Zhihan Xiong, Aadirupa Saha, Simon Shaolei Du, Maryam Fazel
2024	J	`jnl`	Language Model Preference Evaluation with Multiple Weak Evaluators. CoRR Zhengyu Hu, Jieyu Zhang, Zhihan Xiong, Alexander Ratner, Hui Xiong, Ranjay Krishna
2023	J	`jnl`	A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning. CoRR Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
2023	J	`jnl`	A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity. CoRR Zhihan Xiong, Romain Camilleri, Maryam Fazel, Lalit Jain, Kevin Jamieson
2023	—	`conf`	How Hypergraph-to-Graph Conversion Affects Cooperative Working Visualization: A Multi-metric Evaluation. ChineseCSCW (1) Zhihan Xiong, Ruixin Mu, ChongShen Yang, Wenjun Xie, Qiang Lu
2023	A*	`conf`	Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement. ICLR Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du
2022	A*	`conf`	Fourier Learning with Cyclical Data. ICML Yingxiang Yang, Zhihan Xiong, Tianyi Liu, Taiqing Wang, Chong Wang
2022	A*	`conf`	Learning in Congestion Games with Bandit Feedback. NeurIPS Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
2022	J	`jnl`	Learning in Congestion Games with Bandit Feedback. CoRR Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
2022	A*	`conf`	Near-Optimal Randomized Exploration for Tabular Markov Decision Processes. NeurIPS Zhihan Xiong, Ruoqi Shen, Qiwen Cui, Maryam Fazel, Simon S. Du
2022	J	`jnl`	Offline congestion games: How feedback type affects data coverage requirement. CoRR Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
2021	J	`jnl`	Randomized Exploration is Near-Optimal for Tabular MDP. CoRR Zhihan Xiong, Ruoqi Shen, Simon S. Du
2021	A*	`conf`	Selective Sampling for Online Best-arm Identification. NeurIPS Romain Camilleri, Zhihan Xiong, Maryam Fazel, Lalit Jain, Kevin Jamieson
2021	J	`jnl`	Selective Sampling for Online Best-arm Identification. CoRR Romain Camilleri, Zhihan Xiong, Maryam Fazel, Lalit Jain, Kevin Jamieson
2020	A*	`conf`	Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning. AAAI Tian Tan, Zhihan Xiong, Vikranth R. Dwaracherla
2019	J	`jnl`	Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning. CoRR Tian Tan, Zhihan Xiong, Vikranth R. Dwaracherla