| 2025 | AISTATS | Cost-Aware Optimal Pairwise Pure Exploration. | Di Wu, Chengshuai Shi, Ruida Zhou, Cong Shen |
| 2025 | EMNLP | From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning. | Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhenyu Lei, Cong Shen, Jun-Dong Li |
| 2025 | ICLR | Building Math Agents with Multi-Turn Iterative Preference Learning. | Wei Xiong, Chengshuai Shi, Jiaming Shen, Aviv Rosenberg, Zhen Qin, Daniele Calandriello, Misha Khalman, Rishabh Joshi, Bilal Piot, Mohammad Saleh, Chi Jin, Tong Zhang, Tianqi Liu |
| 2025 | UAI | Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis. | Ruiquan Huang, Donghao Li, Chengshuai Shi, Cong Shen, Jing Yang |
| 2023 | CISS | Teaching Reinforcement Learning Agents via Reinforcement Learning. | Kun Yang, Chengshuai Shi, Cong Shen |
| 2023 | ICLR | Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game. | Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang, Tong Zhang |
| 2023 | ICML | Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources. | Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang |
| 2023 | ISIT | On High-dimensional and Low-rank Tensor Bandits. | Chengshuai Shi, Cong Shen, Nicholas D. Sidiropoulos |
| 2023 | ISIT | Reward Teaching for Federated Multi-armed Bandits. | Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang |
| 2022 | ICML | A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games. | Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Tong Zhang |
| 2021 | AAAI | Federated Multi-Armed Bandits. | Chengshuai Shi, Cong Shen |
| 2021 | AISTATS | Federated Multi-armed Bandits with Personalization. | Chengshuai Shi, Cong Shen, Jing Yang |
| 2021 | ISIT | An Attackability Perspective on No-Sensing Adversarial Multi-player Multi-armed Bandits. | Chengshuai Shi, Cong Shen |
| 2020 | AISTATS | Decentralized Multi-player Multi-armed Bandits with No Collision Information. | Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang |
| 2019 | GLOBECOM | Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning. | Chengshuai Shi, Lixing Chen, Cong Shen, Linqi Song, Jie Xu |