| 2025 | ICML | How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias. | Ruiquan Huang, Yingbin Liang, Jing Yang |
| 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 |
| 2024 | AAAI | Temporal-Distributed Backdoor Attack against Video Based Action Recognition. | Xi Li, Songhe Wang, Ruiquan Huang, Mahanth Gowda, George Kesidis |
| 2024 | ICLR | Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes. | Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang |
| 2024 | ICLR | Provably Efficient UCB-type Algorithms For Learning Predictive State Representations. | Ruiquan Huang, Yingbin Liang, Jing Yang |
| 2024 | ISIT | Towards General Function Approximation in Nonstationary Reinforcement Learning. | Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang |
| 2023 | ICLR | Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs. | Yuan Cheng, Ruiquan Huang, Yingbin Liang, Jing Yang |
| 2023 | ICLR | Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL. | Ruiquan Huang, Jing Yang, Yingbin Liang |
| 2023 | ICML | Non-stationary Reinforcement Learning under General Function Approximation. | Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang |
| 2023 | ICML | Federated Linear Contextual Bandits with User-level Differential Privacy. | Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang |
| 2023 | ICML | Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints. | Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang |
| 2022 | ISIT | Cascading Bandits with Two-Level Feedback. | Duo Cheng, Ruiquan Huang, Cong Shen, Jing Yang |