| 2025 | IJCNN | Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding. | Pu Feng, Size Wang, Yuhong Cao, Junkang Liang, Rongye Shi, Wenjun Wu |
| 2024 | AAAI | Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning. | Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Simin Li, Shuhao Liao, Wenjun Wu |
| 2024 | ECAI | Exploiting Hierarchical Symmetry in Multi-Agent Reinforcement Learning. | Yongkai Tian, Xin Yu, Yirong Qi, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi, Jie Luo |
| 2024 | IJCAI | Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation. | Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu |
| 2024 | ICRA | AdaptAUG: Adaptive Data Augmentation Framework for Multi-Agent Reinforcement Learning. | Xin Yu, Yongkai Tian, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi |
| 2024 | IROS | Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks. | Pu Feng, Junkang Liang, Size Wang, Xin Yu, Xin Ji, Yiting Chen, Kui Zhang, Rongye Shi, Wenjun Wu |
| 2023 | CVPR | Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks. | Simin Li, Shuning Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu |
| 2023 | ECAI | ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning. | Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Jie Luo, Wenjun Wu |