Xialiang Tong

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Combinatorial Optimization

Routing Problem

Reinforcement Learning

Variable Neighborhood Search

Top Venues

Comput. Ind. Eng.

Publications

Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Prompt Learning for Generalized Vehicle Routing. CoRR (2024)
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 (2024)
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 (2024)
Fei Liu, Xi Lin, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. KDD (2024)
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 (2024)
Fu Luo, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Self-Improved Learning for Scalable Neural Combinatorial Optimization. CoRR (2024)
Fei Liu, Xi Lin, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. CoRR (2024)
Changliang Zhou, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. CoRR (2024)
Fei Liu, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Algorithm Evolution Using Large Language Model. CoRR (2023)
Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Large Language Model for Multi-objective Evolutionary Optimization. CoRR (2023)
Ivan A. Davydov, Yury Kochetov, Daniil Tolstykh, Xialiang Tong, Jiawen Liu
Hybrid variable neighborhood search for automated warehouse scheduling. Optim. Lett. 17 (9) (2023)
Fei Liu, Chengyu Lu, Lin Gui, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Heuristics for Vehicle Routing Problem: A Survey and Recent Advances. CoRR (2023)
Jiliu Li, Hu Qin, Huaxiao Shen, Xialiang Tong, Zhou Xu
Exact algorithms for the multiple depot vehicle scheduling problem with heterogeneous vehicles, split loads and toll-by-weight scheme. Comput. Ind. Eng. 168 (2022)
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 (2022)
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 (2022)
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 (2022)
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)
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)
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)
Longkang Li, Hui-Ling Zhen, Mingxuan Yuan, Jiawen Lu, Xialiang Tong, Jia Zeng, Jun Wang, Dirk Schnieders
Bilevel Learning Model Towards Industrial Scheduling. CoRR (2020)
Lei Chen, Xialiang Tong, Mingxuan Yuan, Jia Zeng, Lei Chen
A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry. KDD (2019)