| 2026 | AAAI | CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness. | Zhuo Li, Gengyu Lyu, Yuena Lin, Ziang Chen, Zhiyuan Ma, Zhen Yang, Zun Li |
| 2025 | IJCAI | Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling. | Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman |
| 2024 | IJCAI | A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning. | Zun Li, Michael P. Wellman |
| 2023 | ICIP | Modality Meets Long-Term Tracker: A Siamese Dual Fusion Framework for Tracking UAV. | Zhihao Zhang, Lei Jin, Shengjie Li, Jianqiang Xia, Jun Wang, Zun Li, Zheng Zhu, Wenhan Yang, Pengfei Zhang, Jian Zhao, Bo Zhang |
| 2023 | SiggraphA | Multi-Stage Manufacturing for Preoperative Medical Models with Overhanging Components. | Mingli Xiang, Zun Li, Lin Lu, Lifang Wu |
| 2022 | MMSP | Multi-Sequence Dilated Network for Object Detection. | Di Cui, Zun Li, Chang Xin, Lifang Wu, Yongluo Liu |
| 2022 | UAI | Solving structured hierarchical games using differential backward induction. | Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik |
| 2021 | AAAI | Evolution Strategies for Approximate Solution of Bayesian Games. | Zun Li, Michael P. Wellman |
| 2020 | AAAI | Bounding Regret in Empirical Games. | Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh |
| 2020 | AAAI | Structure Learning for Approximate Solution of Many-Player Games. | Zun Li, Michael P. Wellman |