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Conference and Workshop Papers
- 2024
- [c9]Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Simin Li, Shuhao Liao, Wenjun Wu:
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning. AAAI 2024: 17583-17590 - [c8]Yongkai Tian, Xin Yu, Yirong Qi, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi, Jie Luo:
Exploiting Hierarchical Symmetry in Multi-Agent Reinforcement Learning. ECAI 2024: 2202-2209 - [c7]Xin Yu, Yongkai Tian, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi:
AdaptAUG: Adaptive Data Augmentation Framework for Multi-Agent Reinforcement Learning. ICRA 2024: 10814-10820 - [c6]Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu:
Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation. IJCAI 2024: 6606-6614 - 2023
- [c5]Simin Li, Shuning Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu:
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks. CVPR 2023: 12324-12333 - [c4]Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Jie Luo, Wenjun Wu:
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning. ECAI 2023: 2946-2953 - [c3]Pu Feng, Xin Yu, Junkang Liang, Wenjun Wu, Yongkai Tian:
MACT: Multi-agent Collision Avoidance with Continuous Transition Reinforcement Learning via Mixup. ICSI (2) 2023: 74-85 - 2021
- [c2]Xin Yu, Wenjun Wu, Pu Feng, Yongkai Tian:
Swarm Inverse Reinforcement Learning for Biological Systems. BIBM 2021: 274-279 - [c1]Irina Popovici, Radu-Daniel Vatavu, Pu Feng, Wenjun Wu:
AR-TV and AR-Diànshì: Cultural Differences in Users' Preferences for Augmented Reality Television. IMX 2021: 50-60
Informal and Other Publications
- 2024
- [i7]Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Simin Li, Shuhao Liao, Wenjun Wu:
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning. CoRR abs/2401.00167 (2024) - [i6]Pu Feng, Junkang Liang, Size Wang, Xin Yu, Rongye Shi, Wenjun Wu:
Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks. CoRR abs/2407.08164 (2024) - [i5]Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu:
Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation. CoRR abs/2409.05021 (2024) - 2023
- [i4]Simin Li, Jun Guo
, Jingqiao Xiu, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Wenjun Wu, Xianglong Liu:
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence. CoRR abs/2302.03322 (2023) - [i3]Simin Li, Shuing Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu:
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks. CoRR abs/2305.12863 (2023) - [i2]Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Jie Luo, Wenjun Wu:
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning. CoRR abs/2307.16186 (2023) - [i1]Simin Li, Ruixiao Xu, Jun Guo, Pu Feng, Jiakai Wang, Aishan Liu, Yaodong Yang
MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. CoRR abs/2310.09833 (2023)
Coauthor Index
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