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Xialiang Tong
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2020 – today
- 2024
- [c8]Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang:
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. ICML 2024 - [c7]Zhi Zheng, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Ke Tang:
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems. ICML 2024 - [c6]Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Prompt Learning for Generalized Vehicle Routing. IJCAI 2024: 6976-6984 - [c5]Fei Liu
, Xi Lin
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. KDD 2024: 1898-1908 - [i13]Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang:
An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search. CoRR abs/2401.02051 (2024) - [i12]Fei Liu, Xi Lin, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. CoRR abs/2402.16891 (2024) - [i11]Fu Luo, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Self-Improved Learning for Scalable Neural Combinatorial Optimization. CoRR abs/2403.19561 (2024) - [i10]Changliang Zhou, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. CoRR abs/2405.01906 (2024) - [i9]Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Prompt Learning for Generalized Vehicle Routing. CoRR abs/2405.12262 (2024) - [i8]Zhi Zheng, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Ke Tang:
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems. CoRR abs/2405.17272 (2024) - [i7]Zhi Zheng, Changliang Zhou, Xialiang Tong, Mingxuan Yuan, Zhenkun Wang:
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems. CoRR abs/2407.00312 (2024) - 2023
- [j3]Ivan A. Davydov, Yury Kochetov
Hybrid variable neighborhood search for automated warehouse scheduling. Optim. Lett. 17(9): 2185-2199 (2023) - [i6]Fei Liu, Chengyu Lu, Lin Gui
Heuristics for Vehicle Routing Problem: A Survey and Recent Advances. CoRR abs/2303.04147 (2023) - [i5]Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Large Language Model for Multi-objective Evolutionary Optimization. CoRR abs/2310.12541 (2023) - [i4]Fei Liu, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Algorithm Evolution Using Large Language Model. CoRR abs/2311.15249 (2023) - 2022
- [j2]Jiliu Li
Exact algorithms for the multiple depot vehicle scheduling problem with heterogeneous vehicles, split loads and toll-by-weight scheme. Comput. Ind. Eng. 168: 108137 (2022) - [j1]Longkang Li, Xiaojin Fu, Hui-Ling Zhen, Mingxuan Yuan, Jun Wang, Jiawen Lu, Xialiang Tong, Jia Zeng, Dirk Schnieders:
Bilevel learning for large-scale flexible flow shop scheduling. Comput. Ind. Eng. 168: 108140 (2022) - [i3]Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo:
Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition. CoRR abs/2202.01256 (2022) - [i2]Jiahui Duan, Xialiang Tong, Fei Ni, Zhenan He, Lei Chen, Mingxuan Yuan:
A Data-Driven Column Generation Algorithm For Bin Packing Problem in Manufacturing Industry. CoRR abs/2202.12466 (2022) - 2021
- [c4]Qianwen Zhu, Xihan Li, Zihan Zhang, Zhixing Luo, Xialiang Tong, Mingxuan Yuan, Jia Zeng:
Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing Problem. CIKM 2021: 4393-4402 - [c3]Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He:
A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem. KDD 2021: 3441-3451 - [c2]Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Xialiang Tong, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng:
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems. NeurIPS 2021: 23609-23620 - 2020
- [i1]Longkang Li, Hui-Ling Zhen, Mingxuan Yuan, Jiawen Lu, Xialiang Tong, Jia Zeng, Jun Wang, Dirk Schnieders:
Bilevel Learning Model Towards Industrial Scheduling. CoRR abs/2008.04130 (2020)
2010 – 2019
- 2019
- [c1]Lei Chen, Xialiang Tong, Mingxuan Yuan, Jia Zeng, Lei Chen:
A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry. KDD 2019: 1762-1770
Coauthor Index
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