| 2025 | ICLR | A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization. | Yinqi Bai, Jie Wang, Lei Chen, Zhihai Wang, Yufei Kuang, Mingxuan Yuan, Jianye Hao, Feng Wu |
| 2024 | GECCO | Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics. | Hongyu Liu, Haoyang Liu, Yufei Kuang, Jie Wang, Bin Li |
| 2024 | ICLR | Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework. | Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu |
| 2024 | ICML | Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph. | Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye Hao, Feng Wu |
| 2024 | IJCNN | Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space. | Qianmei Liu, Yufei Kuang, Jie Wang |
| 2023 | ICLR | Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. | Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu |
| 2023 | UAI | Learning robust representation for reinforcement learning with distractions by reward sequence prediction. | Qi Zhou, Jie Wang, Qiyuan Liu, Yufei Kuang, Wengang Zhou, Houqiang Li |
| 2022 | AAAI | Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization. | Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li |