Pu Feng - RankMe

24 papers A* 4A 3B 1C 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Offline constrained policy optimization with safe anchoring. Neural Networks Diyuan Hou, Longyang Huang, Pu Feng, Wenjun Wu
2025	J	`jnl`	Attacking cooperative multi-agent reinforcement learning by adversarial minority influence. Neural Networks Simin Li, Jun Guo, Jingqiao Xiu, Yuwei Zheng, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Bo An, Wenjun Wu, Xianglong Liu
2025	J	`jnl`	Lyapunov-Informed Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks. IEEE Trans Autom. Sci. Eng. Pu Feng, Rongye Shi, Size Wang, Qizhen Wu, Xin Yu, Wenjun Wu
2025	B	`conf`	Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding. IJCNN Pu Feng, Size Wang, Yuhong Cao, Junkang Liang, Rongye Shi, Wenjun Wu
2025	J	`jnl`	Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding. CoRR Pu Feng, Size Wang, Yuhong Cao, Junkang Liang, Rongye Shi, Wenjun Wu
2025	J	`jnl`	Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. IEEE Trans. Neural Networks Learn. Syst. Simin Li, Ruixiao Xu, Jingqiao Xiu, Yuwei Zheng, Pu Feng, Yuqing Ma, Bo An, Yaodong Yang, Xianglong Liu
2024	A*	`conf`	AdaptAUG: Adaptive Data Augmentation Framework for Multi-Agent Reinforcement Learning. ICRA Xin Yu, Yongkai Tian, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi
2024	A	`conf`	Exploiting Hierarchical Symmetry in Multi-Agent Reinforcement Learning. ECAI Yongkai Tian, Xin Yu, Yirong Qi, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi, Jie Luo
2024	A	`conf`	Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks. IROS Pu Feng, Junkang Liang, Size Wang, Xin Yu, Xin Ji, Yiting Chen, Kui Zhang, Rongye Shi, Wenjun Wu
2024	J	`jnl`	Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks. CoRR Pu Feng, Junkang Liang, Size Wang, Xin Yu, Rongye Shi, Wenjun Wu
2024	A*	`conf`	Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning. AAAI Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Simin Li, Shuhao Liao, Wenjun Wu
2024	J	`jnl`	Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning. CoRR Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Simin Li, Shuhao Liao, Wenjun Wu
2024	J	`jnl`	Safe and Efficient Multi-Agent Collision Avoidance With Physics-Informed Reinforcement Learning. IEEE Robotics Autom. Lett. Pu Feng, Rongye Shi, Size Wang, Junkang Liang, Xin Yu, Simin Li, Wenjun Wu
2024	A*	`conf`	Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation. IJCAI Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu
2024	J	`jnl`	Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation. CoRR Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu
2023	J	`jnl`	Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence. CoRR Simin Li, Jun Guo, Jingqiao Xiu, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Wenjun Wu, Xianglong Liu
2023	A	`conf`	ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning. ECAI Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Jie Luo, Wenjun Wu
2023	J	`jnl`	ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning. CoRR Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Jie Luo, Wenjun Wu
2023	—	`conf`	MACT: Multi-agent Collision Avoidance with Continuous Transition Reinforcement Learning via Mixup. ICSI (2) Pu Feng, Xin Yu, Junkang Liang, Wenjun Wu, Yongkai Tian
2023	J	`jnl`	MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. CoRR Simin Li, Ruixiao Xu, Jun Guo, Pu Feng, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu, Weifeng Lv
2023	A*	`conf`	Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks. CVPR Simin Li, Shuning Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu
2023	J	`jnl`	Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks. CoRR Simin Li, Shuing Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu
2021	C	`conf`	AR-TV and AR-Diànshì: Cultural Differences in Users' Preferences for Augmented Reality Television. IMX Irina Popovici, Radu-Daniel Vatavu, Pu Feng, Wenjun Wu
2021	—	`conf`	Swarm Inverse Reinforcement Learning for Biological Systems. BIBM Xin Yu, Wenjun Wu, Pu Feng, Yongkai Tian