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Xialiang Tong
Observed names:
Tong Xialiang,
Tong, Xialiang,
XialiangTong
Institutions:
Huawei Technologies (China),
Southern University of Science and Technology,
Tsinghua Shenzhen International Graduate School,
Southeast University,
Tsinghua University
Observed institutions:
City University of Hong Kong,
Huawei Technologies (China),
Southern University of Science and Technology,
Huawei Technologies (Canada),
Tsinghua Shenzhen International Graduate School,
Southeast University,
Tsinghua University
show all 7
ORCID:
0009-0006-8153-1576
Observed ORCID:
0009-0006-8153-1576
OpenAlex ID:
A5049905353
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
2024
·
Liu, Fei
, Tong, Xialiang
, et al.
·
arXiv (Cornell University)
·
207
PDF
A Systematic Survey on Large Language Models for Algorithm Design
2026
·
Fei Liu
, Yiming Yao
, et al.
·
ACM Computing Surveys
·
107
Heuristics for Vehicle Routing Problem: A Survey and Recent Advances
2023
·
Liu, Fei
, Lu, Chengyu
, et al.
·
arXiv (Cornell University)
·
69
PDF
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems
2021
·
Yi Ma
, Xiaotian Hao
, et al.
·
neural information processing systems
·
64
A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem
2021
·
Fei Ni
, Jianye Hao
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
56
Large Language Model for Multi-objective Evolutionary Optimization
2023
·
Liu, Fei
, Lin, Xi
, et al.
·
arXiv (Cornell University)
·
50
PDF
Large Language Model for Multiobjective Evolutionary Optimization
2025
·
Fei Liu
, Xi Lin
, et al.
·
Lecture notes in computer science
·
42
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
2024
·
Fei Liu
, Xi Lin
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
35
PDF
Self-Improved Learning for Scalable Neural Combinatorial Optimization
2024
·
Luo, Fu
, Lin, Xi
, et al.
·
arXiv (Cornell University)
·
34
PDF
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
2024
·
Zhi Zheng
, Changliang Zhou
, et al.
·
neural information processing systems
·
33
PDF
Instance-Conditioned Adaptation for Large-Scale Generalization of Neural Routing Solver
2026
·
Changliang Zhou
, Xi Lin
, et al.
·
IEEE Transactions on Intelligent Transportation Systems
·
27
PDF
Bilevel learning for large-scale flexible flow shop scheduling
2022
·
Longkang Li
, Xiaojin Fu
, et al.
·
Computers & Industrial Engineering
·
27
Learning to Pack
2021
·
Qianwen Zhu
, Xihan Li
, et al.
·
ACM International Conference on Information and Knowledge Management (CIKM)
·
19
Machine Learning-Assisted Multiobjective Evolutionary Algorithm for Routing and Packing
2024
·
Fei Liu
, Qingfu Zhang
, et al.
·
IEEE Transactions on Evolutionary Computation
·
18
EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design
2026
·
Fei Liu
, Yilu Liu
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
16
PDF
Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search
2025
·
Liu, Fei
, Zhang, Qingfu
, et al.
·
arXiv (Cornell University)
·
15
PDF
Integrated Scheduling Optimization for Automated Container Terminal: A Reinforcement Learning-Based Approach
2025
·
Qi Wang
, Xialiang Tong
, et al.
·
IEEE Transactions on Intelligent Transportation Systems
·
10
Multimodal LLM-assisted Evolutionary Search for Programmatic Control Policies
2025
·
Hu, Qinglong
, Tong, Xialiang
, et al.
·
arXiv (Cornell University)
·
9
PDF
Exact algorithms for the multiple depot vehicle scheduling problem with heterogeneous vehicles, split loads and toll-by-weight scheme
2022
·
Jiliu Li
, Hu Qin
, et al.
·
Computers & Industrial Engineering
·
8
Introduction to The Dynamic Pickup and Delivery Problem Benchmark -- ICAPS 2021 Competition
2022
·
Hao, Jianye
, Lu, Jiawen
, et al.
·
arXiv (Cornell University)
·
8
PDF
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems
2024
·
Zheng, Zhi
, Yao, Shunyu
, et al.
·
arXiv (Cornell University)
·
6
PDF
A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry
2019
·
Lei Chen
, Xialiang Tong
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
6
A Data-Driven Column Generation Algorithm For Bin Packing Problem in Manufacturing Industry
2022
·
Duan, Jiahui
, Tong, Xialiang
, et al.
·
arXiv (Cornell University)
·
5
PDF
Hybrid variable neighborhood search for automated warehouse scheduling
2022
·
Ivan Davydov
, Yury Kochetov
, et al.
·
Optimization Letters
·
4
Prompt Learning for Generalized Vehicle Routing
2024
·
Fei Liu
, Xi Lin
, et al.
·
International Joint Conference on Artificial Intelligence
·
3
PDF
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Works count:
44
Citation count:
1,043
H-index:
16
I10-index:
20
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