Ruiquan Huang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 22

Top Topics

Differentially Private

Reinforcement Learning

Action Recognition

Top Venues

IEEE J. Sel. Areas Inf. Theory

Publications

Xi Li, Songhe Wang, Ruiquan Huang, Mahanth Gowda, George Kesidis
Temporal-Distributed Backdoor Attack against Video Based Action Recognition. AAAI (2024)
Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang
Toward General Function Approximation in Nonstationary Reinforcement Learning. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Ruiquan Huang, Yingbin Liang, Jing Yang
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations. ICLR (2024)
Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes. ICLR (2024)
Xi Li, Songhe Wang, Ruiquan Huang, Mahanth Gowda, George Kesidis
Temporal-Distributed Backdoor Attack Against Video Based Action Recognition. CoRR (2023)
Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang
Federated Linear Contextual Bandits with User-level Differential Privacy. ICML (2023)
Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang
Non-stationary Reinforcement Learning under General Function Approximation. ICML (2023)
Yuan Cheng, Ruiquan Huang, Yingbin Liang, Jing Yang
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs. ICLR (2023)
Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hajzinia, Jing Yang
Federated Linear Contextual Bandits with User-level Differential Privacy. CoRR (2023)
Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints. CoRR (2023)
Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor
FLORAS: Differentially Private Wireless Federated Learning Using Orthogonal Sequences. ICC (2023)
Ruiquan Huang, Jing Yang, Yingbin Liang
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL. ICLR (2023)
Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes. CoRR (2023)
Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang
Non-stationary Reinforcement Learning under General Function Approximation. CoRR (2023)
Yuan Cheng, Ruiquan Huang, Jing Yang, Yingbin Liang
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs. CoRR (2023)
Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints. ICML (2023)
Ruiquan Huang, Yingbin Liang, Jing Yang
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations. CoRR (2023)
Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor
Differentially Private Wireless Federated Learning Using Orthogonal Sequences. CoRR (2023)
Duo Cheng, Ruiquan Huang, Cong Shen, Jing Yang
Cascading Bandits with Two-Level Feedback. ISIT (2022)
Ruiquan Huang, Jing Yang, Yingbin Liang
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-free RL. CoRR (2022)
Ruiquan Huang, Weiqiang Wu, Jing Yang, Cong Shen
Federated Linear Contextual Bandits. NeurIPS (2021)
Ruiquan Huang, Weiqiang Wu, Jing Yang, Cong Shen
Federated Linear Contextual Bandits. CoRR (2021)