Ruiquan Huang - RankMe

35 papers A* 12A 1B 2Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Differentially Private Wireless Federated Learning Using Orthogonal Sequences. IEEE Trans. Inf. Theory Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor
2026	J	`jnl`	Flow Matching for Offline Reinforcement Learning with Discrete Actions. CoRR Fairoz Nower Khan, Nabuat Zaman Nahim, Ruiquan Huang, Haibo Yang, Peizhong Ju
2025	A	`conf`	Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis. UAI Ruiquan Huang, Donghao Li, Chengshuai Shi, Cong Shen, Jing Yang
2025	J	`jnl`	Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis. CoRR Ruiquan Huang, Donghao Li, Chengshuai Shi, Cong Shen, Jing Yang
2025	A*	`conf`	How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias. ICML Ruiquan Huang, Yingbin Liang, Jing Yang
2025	J	`jnl`	How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias. CoRR Ruiquan Huang, Yingbin Liang, Jing Yang
2025	J	`jnl`	Robust Offline Reinforcement Learning for Non-Markovian Decision Processes. IEEE Trans. Inf. Theory Ruiquan Huang, Yingbin Liang, Jing Yang
2024	A*	`conf`	Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups. NeurIPS Fengyu Gao, Ruiquan Huang, Jing Yang
2024	J	`jnl`	Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups. CoRR Fengyu Gao, Ruiquan Huang, Jing Yang
2024	A*	`conf`	Non-asymptotic Convergence of Training Transformers for Next-token Prediction. NeurIPS Ruiquan Huang, Yingbin Liang, Jing Yang
2024	J	`jnl`	Non-asymptotic Convergence of Training Transformers for Next-token Prediction. CoRR Ruiquan Huang, Yingbin Liang, Jing Yang
2024	A*	`conf`	Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes. ICLR Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang
2024	A*	`conf`	Provably Efficient UCB-type Algorithms For Learning Predictive State Representations. ICLR Ruiquan Huang, Yingbin Liang, Jing Yang
2024	J	`jnl`	Robust Offline Reinforcement Learning for Non-Markovian Decision Processes. CoRR Ruiquan Huang, Yingbin Liang, Jing Yang
2024	A*	`conf`	Temporal-Distributed Backdoor Attack against Video Based Action Recognition. AAAI Xi Li, Songhe Wang, Ruiquan Huang, Mahanth Gowda, George Kesidis
2024	J	`jnl`	Toward General Function Approximation in Nonstationary Reinforcement Learning. IEEE J. Sel. Areas Inf. Theory Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang
2024	B	`conf`	Towards General Function Approximation in Nonstationary Reinforcement Learning. ISIT Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang
2023	J	`jnl`	Differentially Private Wireless Federated Learning Using Orthogonal Sequences. CoRR Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor
2023	—	`conf`	FLORAS: Differentially Private Wireless Federated Learning Using Orthogonal Sequences. ICC Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor
2023	A*	`conf`	Federated Linear Contextual Bandits with User-level Differential Privacy. ICML Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang
2023	J	`jnl`	Federated Linear Contextual Bandits with User-level Differential Privacy. CoRR Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang
2023	A*	`conf`	Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs. ICLR Yuan Cheng, Ruiquan Huang, Yingbin Liang, Jing Yang
2023	J	`jnl`	Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs. CoRR Yuan Cheng, Ruiquan Huang, Jing Yang, Yingbin Liang
2023	A*	`conf`	Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints. ICML Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang
2023	J	`jnl`	Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints. CoRR Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang
2023	A*	`conf`	Non-stationary Reinforcement Learning under General Function Approximation. ICML Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang
2023	J	`jnl`	Non-stationary Reinforcement Learning under General Function Approximation. CoRR Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang
2023	J	`jnl`	Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes. CoRR Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang
2023	J	`jnl`	Provably Efficient UCB-type Algorithms For Learning Predictive State Representations. CoRR Ruiquan Huang, Yingbin Liang, Jing Yang
2023	A*	`conf`	Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL. ICLR Ruiquan Huang, Jing Yang, Yingbin Liang
2023	J	`jnl`	Temporal-Distributed Backdoor Attack Against Video Based Action Recognition. CoRR Xi Li, Songhe Wang, Ruiquan Huang, Mahanth Gowda, George Kesidis
2022	B	`conf`	Cascading Bandits with Two-Level Feedback. ISIT Duo Cheng, Ruiquan Huang, Cong Shen, Jing Yang
2022	J	`jnl`	Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-free RL. CoRR Ruiquan Huang, Jing Yang, Yingbin Liang
2021	A*	`conf`	Federated Linear Contextual Bandits. NeurIPS Ruiquan Huang, Weiqiang Wu, Jing Yang, Cong Shen
2021	J	`jnl`	Federated Linear Contextual Bandits. CoRR Ruiquan Huang, Weiqiang Wu, Jing Yang, Cong Shen