Jiafan He - RankMe

64 papers A* 21A 3C 1Journal 33Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Joint Cooperative Reusable Task Offloading and Channel Resource Allocation: A Coalition Game-Theoretic Approach. IEEE Trans. Veh. Technol. Jiaxin Chen, Tao Fang, Feng Fang, Jiafan He, Qingwei Li
2026	J	`jnl`	Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation. CoRR Zhuolin Yang, Zihan Liu, Yang Chen, Wenliang Dai, Boxin Wang, Sheng-Chieh Lin, Chankyu Lee, Yangyi Chen, Dongfu Jiang, Jiafan He, Renjie Pi, Grace Lam, Nayeon Lee, Alexander Bukharin, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2025	A*	`conf`	Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback. ICML Qiwei Di, Jiafan He, Quanquan Gu
2025	J	`jnl`	Reinforcement Learning from Human Feedback with Active Queries. Trans. Mach. Learn. Res. Kaixuan Ji, Jiafan He, Quanquan Gu
2025	J	`jnl`	Variance-Dependent Regret Lower Bounds for Contextual Bandits. CoRR Jiafan He, Quanquan Gu
2024	A*	`conf`	A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation. NeurIPS Heyang Zhao, Jiafan He, Quanquan Gu
2024	J	`jnl`	Accelerated Preference Optimization for Large Language Model Alignment. CoRR Jiafan He, Huizhuo Yuan, Quanquan Gu
2024	A*	`conf`	Achieving Constant Regret in Linear Markov Decision Processes. NeurIPS Weitong Zhang, Zhiyuan Fan, Jiafan He, Quanquan Gu
2024	—	`conf`	Emergency Localization for Mobile Ground Users: An Adaptive UAV Trajectory Planning Method. INFOCOM (Workshops) Zhihao Zhu, Jiafan He, Luyang Hou, Lianming Xu, Wendi Zhu, Li Wang
2024	J	`jnl`	Emergency Localization for Mobile Ground Users: An Adaptive UAV Trajectory Planning Method. CoRR Zhihao Zhu, Jiafan He, Luyang Hou, Lianming Xu, Wendi Zhu, Li Wang
2024	A*	`conf`	Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs. ICLR Kaixuan Ji, Qingyue Zhao, Jiafan He, Weitong Zhang, Quanquan Gu
2024	J	`jnl`	Multi-Augmentation-Based Contrastive Learning for Semi-Supervised Learning. Algorithms Jie Wang, Jie Yang, Jiafan He, Dongliang Peng
2024	J	`jnl`	Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path. CoRR Qiwei Di, Jiafan He, Dongruo Zhou, Quanquan Gu
2024	J	`jnl`	Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback. CoRR Qiwei Di, Jiafan He, Quanquan Gu
2024	A*	`conf`	Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning. ICLR Qiwei Di, Heyang Zhao, Jiafan He, Quanquan Gu
2024	J	`jnl`	Reinforcement Learning from Human Feedback with Active Queries. CoRR Kaixuan Ji, Jiafan He, Quanquan Gu
2024	J	`jnl`	Settling Constant Regrets in Linear Markov Decision Processes. CoRR Weitong Zhang, Zhiyuan Fan, Jiafan He, Quanquan Gu
2024	A*	`conf`	Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption. ICML Chenlu Ye, Jiafan He, Quanquan Gu, Tong Zhang
2024	J	`jnl`	Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption. CoRR Chenlu Ye, Jiafan He, Quanquan Gu, Tong Zhang
2023	J	`jnl`	A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation. CoRR Heyang Zhao, Jiafan He, Quanquan Gu
2023	J	`jnl`	Attitude Synchronization of Heterogenous Flexible Spacecrafts by Measurement-Based Feedback With Disturbance Suppression. IEEE Access Jiafan He, Aiguo Fei, Qingwei Li, Feng Fang
2023	A*	`conf`	Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation. ICML Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu
2023	J	`jnl`	Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation. CoRR Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu
2023	J	`jnl`	Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs. CoRR Kaixuan Ji, Qingyue Zhao, Jiafan He, Weitong Zhang, Quanquan Gu
2023	A*	`conf`	Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path. ICML Qiwei Di, Jiafan He, Dongruo Zhou, Quanquan Gu
2023	A*	`conf`	Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes. ICML Jiafan He, Heyang Zhao, Dongruo Zhou, Quanquan Gu
2023	A*	`conf`	On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits. ICML Weitong Zhang, Jiafan He, Zhiyuan Fan, Quanquan Gu
2023	J	`jnl`	On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits. CoRR Weitong Zhang, Jiafan He, Zhiyuan Fan, Quanquan Gu
2023	A*	`conf`	Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits. ICML Heyang Zhao, Dongruo Zhou, Jiafan He, Quanquan Gu
2023	J	`jnl`	Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning. CoRR Qiwei Di, Heyang Zhao, Jiafan He, Quanquan Gu
2023	A	`conf`	Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RL. UAI Weitong Zhang, Jiafan He, Dongruo Zhou, Amy Zhang, Quanquan Gu
2023	A	`conf`	Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension. UAI Yue Wu, Jiafan He, Quanquan Gu
2023	J	`jnl`	Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension. CoRR Yue Wu, Jiafan He, Quanquan Gu
2023	A*	`conf`	Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency. COLT Heyang Zhao, Jiafan He, Dongruo Zhou, Tong Zhang, Quanquan Gu
2023	J	`jnl`	Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency. CoRR Heyang Zhao, Jiafan He, Dongruo Zhou, Tong Zhang, Quanquan Gu
2022	A*	`conf`	A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits. NeurIPS Jiafan He, Tianhao Wang, Yifei Min, Quanquan Gu
2022	J	`jnl`	A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits. CoRR Jiafan He, Tianhao Wang, Yifei Min, Quanquan Gu
2022	—	`conf`	Accurate Decision-Making Method for Air Combat Pilots Based on Data-Driven. DMBD (2) Yiming Mao, Zhijie Xia, Qingwei Li, Jiafan He, Aiguo Fei
2022	J	`jnl`	Bandit Learning with General Function Classes: Heteroscedastic Noise and Variance-dependent Regret Bounds. CoRR Heyang Zhao, Dongruo Zhou, Jiafan He, Quanquan Gu
2022	J	`jnl`	Cooperative Global Robust Practical Output Regulation of Nonlinear Lower Triangular Multiagent Systems via Event-Triggered Control. IEEE Trans. Cybern. Jiaqi Wang, Wei Xing Zheng, Andong Sheng, Jiafan He
2022	A*	`conf`	Learning Stochastic Shortest Path with Linear Function Approximation. ICML Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu
2022	C	`conf`	Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes. ACML Chonghua Liao, Jiafan He, Quanquan Gu
2022	A	`conf`	Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs. AISTATS Jiafan He, Dongruo Zhou, Quanquan Gu
2022	J	`jnl`	Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes. CoRR Jiafan He, Heyang Zhao, Dongruo Zhou, Quanquan Gu
2022	A*	`conf`	Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions. NeurIPS Jiafan He, Dongruo Zhou, Tong Zhang, Quanquan Gu
2022	J	`jnl`	Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions. CoRR Jiafan He, Dongruo Zhou, Tong Zhang, Quanquan Gu
2022	A*	`conf`	On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs. ICML Yuanzhou Chen, Jiafan He, Quanquan Gu
2021	J	`jnl`	Learning Stochastic Shortest Path with Linear Function Approximation. CoRR Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu
2021	J	`jnl`	Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes. CoRR Chonghua Liao, Jiafan He, Quanquan Gu
2021	A*	`conf`	Logarithmic Regret for Reinforcement Learning with Linear Function Approximation. ICML Jiafan He, Dongruo Zhou, Quanquan Gu
2021	A*	`conf`	Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs. NeurIPS Jiafan He, Dongruo Zhou, Quanquan Gu
2021	J	`jnl`	Nearly Optimal Regret for Learning Adversarial MDPs with Linear Function Approximation. CoRR Jiafan He, Dongruo Zhou, Quanquan Gu
2021	A*	`conf`	Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping. ICML Dongruo Zhou, Jiafan He, Quanquan Gu
2021	J	`jnl`	Provably Efficient Representation Learning in Low-rank Markov Decision Processes. CoRR Weitong Zhang, Jiafan He, Dongruo Zhou, Amy Zhang, Quanquan Gu
2021	A*	`conf`	Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation. NeurIPS Jiafan He, Dongruo Zhou, Quanquan Gu
2021	J	`jnl`	Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation. CoRR Jiafan He, Dongruo Zhou, Quanquan Gu
2020	J	`jnl`	Logarithmic Regret for Reinforcement Learning with Linear Function Approximation. CoRR Jiafan He, Dongruo Zhou, Quanquan Gu
2020	J	`jnl`	Minimax Optimal Reinforcement Learning for Discounted MDPs. CoRR Jiafan He, Dongruo Zhou, Quanquan Gu
2020	J	`jnl`	Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping. CoRR Dongruo Zhou, Jiafan He, Quanquan Gu
2019	A*	`conf`	Achieving a Fairer Future by Changing the Past. IJCAI Jiafan He, Ariel D. Procaccia, Alexandros Psomas, David Zeng
2019	—	`conf`	Event-Triggered Attitude Regulation of Rigid Spacecraft with Uncertain Inertia Matrix. ASCC Jiafan He, Youfeng Su, Dabo Xu, Andong Sheng
2019	—	`conf`	Rectangular Impulsive Consensus of Multi-agent Systems with Heterogeneous Control Widths. ASCC Pengpeng Ye, Jiafan He, Yinya Li, Guoqing Qi, Andong Sheng
2019	—	`conf`	Robust Attitude Regulation of Uncertain Spacecraft with Flexible Appendages. ICNSC Jiafan He, Andong Sheng, Dabo Xu
2017	—	`conf`	Robust attitude tracking control of a rigid spacecraft based on nonlinearly controlled quaternions. ASCC Dabo Xu, Jiafan He, Andong Sheng, Zhiyong Chen, Dan Wang