| 2026 | AAAI | Unreal-MAP: Unreal-Engine-Based General Platform for Multi-agent Reinforcement Learning. | Tianyi Hu, Qingxu Fu, Zhiqiang Pu, Yuan Wang, Tenghai Qiu |
| 2025 | EMNLP | CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning. | Jinyuan Feng, Chaopeng Wei, Tenghai Qiu, Tianyi Hu, Zhiqiang Pu |
| 2024 | IJCNN | Heterogeneous Observation Aggregation Network for Multi-agent Reinforcement Learning. | Tianyi Hu, Xiaolin Ai, Zhiqiang Pu, Tenghai Qiu, Jianqiang Yi |
| 2023 | IJCNN | Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning. | Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan |
| 2022 | AAAI | Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. | Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu |
| 2022 | IJCNN | A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning. | Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan |
| 2022 | IJCNN | Multi-Agent Local Information Reconstruction for Situational Cognition. | Shiguang Wu, Zhiqiang Pu, Tianle Zhang, Tenghai Qiu, Jianqiang Yi |
| 2022 | IROS | Multi-UAV Cooperative Short-Range Combat via Attention-Based Reinforcement Learning using Individual Reward Shaping. | Tianle Zhang, Tenghai Qiu, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Jinying Zhu, Ruiguang Hu |
| 2021 | IJCNN | Multi-Agent Cognition Difference Reinforcement Learning for Multi-Agent Cooperation. | Huimu Wang, Tenghai Qiu, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan |
| 2021 | IROS | Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments. | Shiguang Wu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi |
| 2021 | ICRA | Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework. | Shiguang Wu, Zhiqiang Pu, Zhen Liu, Tenghai Qiu, Jianqiang Yi, Tianle Zhang |