| 2025 | CogSci | BDARec: Balancing Diversity and Accuracy of Recommendation Model with Graph Neural Networks. | Mengmeng Li, Xinhai Xu, Hongmei Li, Zhenyu Li, Xianglong Li, Jinlong Tian, Kejia Wan, Qiyuan Zhang |
| 2025 | CogSci | M2TQA: A Metacognitive Framework for Multi-Table Question Answering. | Jinlong Tian, Yuhua Tang, Kejia Wan, Hao Tang, Qiyuan Zhang, Yanfang Zhou, Mengmeng Li, Xianglong Li, Xinhai Xu |
| 2025 | CogSci | A Framework for Modeling Cognitive Processes in Intelligent Agents Using Behavior Trees. | Kejia Wan, Yuntao Liu, Hengzhu Liu, Xinhai Xu, Jinlong Tian, Xianglong Li, Hao Tang |
| 2025 | CogSci | Mental Model Alignment: Building Cognitive Interfaces for Explainable Reinforcement Learning. | Kejia Wan, Yuntao Liu, Hengzhu Liu, Xinhai Xu, Hao Tang, Jinlong Tian, Xianglong Li |
| 2024 | ICASSP | Unraveling Explainable Reinforcement Learning Using Behavior Tree Structures. | Kejia Wan, Yuntao Liu, Hengzhu Liu, Xinhai Xu |
| 2021 | ICANN | Learning Distinct Strategies for Heterogeneous Cooperative Multi-agent Reinforcement Learning. | Kejia Wan, Xinhai Xu, Yuan Li |
| 2021 | ICONIP | Improving Generalization of Reinforcement Learning for Multi-agent Combating Games. | Kejia Wan, Xinhai Xu, Yuan Li |