| 2025 | ICLR | Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation. | Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu, Bo An |
| 2024 | ICLR | Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. | Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu |
| 2023 | AAAI | Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract). | Feng Chen, Chenghe Wang, Fuxiang Zhang, Hao Ding, Qiaoyong Zhong, Shiliang Pu, Zongzhang Zhang |
| 2023 | ICLR | Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data. | Fuxiang Zhang, Chengxing Jia, Yi-Chen Li, Lei Yuan, Yang Yu, Zongzhang Zhang |
| 2023 | ICML | Policy Regularization with Dataset Constraint for Offline Reinforcement Learning. | Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu |
| 2023 | KDD | Internal Logical Induction for Pixel-Symbolic Reinforcement Learning. | Jiacheng Xu, Chao Chen, Fuxiang Zhang, Lei Yuan, Zongzhang Zhang, Yang Yu |
| 2022 | AAAI | Multi-Agent Incentive Communication via Decentralized Teammate Modeling. | Lei Yuan, Jianhao Wang, Fuxiang Zhang, Chenghe Wang, Zongzhang Zhang, Yang Yu, Chongjie Zhang |
| 2022 | IJCAI | Multi-Agent Concentrative Coordination with Decentralized Task Representation. | Lei Yuan, Chenghe Wang, Jianhao Wang, Fuxiang Zhang, Feng Chen, Cong Guan, Zongzhang Zhang, Chongjie Zhang, Yang Yu |
| 2020 | APWEB | IterG: An Iteratively Learning Graph Convolutional Network with Ontology Semantics. | Xingya Liang, Fuxiang Zhang, Xin Liu, Yajun Yang |
| 2020 | IJCAI | TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure. | Fuxiang Zhang, Xin Wang, Zhao Li, Jianxin Li |
| 2006 | IROS | Development of an Embedded Control Platform of a Continuous Passive Motion Machine. | Yili Fu, Fuxiang Zhang, Shuguo Wang, Qinggang Meng |