从事多智能体强化学习理论方法及其应用研究，聚焦多智能体通信、协作和可解释性等核心方向，相关成果在IEEE TPAMI/TNNLS、PR、AIRE、AAAI、IJCAI等主流期刊或会议发表论文20余篇。主持中国博士后面上项目、山东省博士后创新项目（一等）、参与多项国家自然科学基金项目。
1. 多智能体强化学习、大模型、图神经网络、机器学习算法等
1. Multi-Agent Communication with Information Preserving Graph Contrastive Learning. Proceedings of International Joint Conference on Artificial Intelligence（CCF-A, 第一作者）,
2. Robust multi-agent communication with graph information bottleneck optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence（CCF-A，通讯作者）,
3. 杜威. 多智能体深度强化学习研究进展. 计算机学报（CCF-T1，通讯作者）,
4. 杜威. 基于价值函数分解和通信学习机制的异构多智能体强化学习方法. 计算机学报（CCF-T1，第一作者）,
5. Multi-agent dueling q-learning with mean field and value decomposition. Pattern Recognition（中科院一区，通讯作者）,
6. A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications. Artificial Intelligence Review（中科院一区，第一作者),
7. Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck. Proceedings of 38th AAAI Conference on Artificial Intelligence（CCF-A，通讯作者）,
8. Expressive Multi-Agent Communication via Identity-Aware Learning. Proceedings of 38th AAAI Conference on Artificial Intelligence（CCF-A，第一作者）,
9. Multi agent reinforcement learning with graphical mutual information maximization. IEEE Transactions on Neural Networks and Learning Systems（中科院一区，通讯作者）,
10. Multi agent reinforcement learning with heterogeneous graph attention network. IEEE Transactions on Neural Networks and Learning Systems（中科院一区，第一作者）,
