| 2026 | AAAI | EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design. | Fei Liu, Yilu Liu, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan |
| 2025 | EMO | Large Language Model for Multiobjective Evolutionary Optimization. | Fei Liu, Xi Lin, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang |
| 2025 | ICLR | Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems. | Fu Luo, Xi Lin, Yaoxin Wu, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang |
| 2024 | ICML | Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. | Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang |
| 2024 | ICML | DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems. | Zhi Zheng, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Ke Tang |
| 2024 | IJCAI | Prompt Learning for Generalized Vehicle Routing. | Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan |
| 2024 | KDD | Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. | Fei Liu, Xi Lin, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan |
| 2021 | CIKM | Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing Problem. | Qianwen Zhu, Xihan Li, Zihan Zhang, Zhixing Luo, Xialiang Tong, Mingxuan Yuan, Jia Zeng |
| 2021 | KDD | A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem. | Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He |
| 2019 | KDD | A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry. | Lei Chen, Xialiang Tong, Mingxuan Yuan, Jia Zeng, Lei Chen |