Xialiang Tong - RankMe

36 papers A* 10A 1Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Systematic Survey on Large Language Models for Algorithm Design. ACM Comput. Surv. Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Xi Lin, Zhe Zhao, Xialiang Tong, Kun Mao, Zhichao Lu, Zhenkun Wang, Mingxuan Yuan, Qingfu Zhang
2026	A*	`conf`	EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design. AAAI Fei Liu, Yilu Liu, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2026	J	`jnl`	Why Attention Patterns Exist: A Unifying Temporal Perspective Analysis. CoRR Qingyue Yang, Jie Wang, Xing Li, Yinqi Bai, Xialiang Tong, Huiling Zhen, Jianye Hao, Mingxuan Yuan, Bin Li
2025	A*	`conf`	Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems. ICLR Fu Luo, Xi Lin, Yaoxin Wu, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2025	J	`jnl`	Discovering Interpretable Programmatic Policies via Multimodal LLM-assisted Evolutionary Search. CoRR Qinglong Hu, Xialiang Tong, Mingxuan Yuan, Fei Liu, Zhichao Lu, Qingfu Zhang
2025	J	`jnl`	EoH-S: Evolution of Heuristic Set using LLMs for Automated Heuristic Design. CoRR Fei Liu, Yilu Liu, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2025	J	`jnl`	Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search. CoRR Fei Liu, Qingfu Zhang, Xialiang Tong, Kun Mao, Mingxuan Yuan
2025	J	`jnl`	Integrated Scheduling Optimization for Automated Container Terminal: A Reinforcement Learning-Based Approach. IEEE Trans. Intell. Transp. Syst. Qi Wang, Xialiang Tong, Yantong Li, Chong Wang, Canrong Zhang
2025	—	`conf`	Large Language Model for Multiobjective Evolutionary Optimization. EMO (2) Fei Liu, Xi Lin, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2025	J	`jnl`	Machine Learning-Assisted Multiobjective Evolutionary Algorithm for Routing and Packing. IEEE Trans. Evol. Comput. Fei Liu, Qingfu Zhang, Qingling Zhu, Xialiang Tong, Mingxuan Yuan
2024	J	`jnl`	A Systematic Survey on Large Language Models for Algorithm Design. CoRR Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Zhe Zhao, Xi Lin, Xialiang Tong, Mingxuan Yuan, Zhichao Lu, Zhenkun Wang, Qingfu Zhang
2024	J	`jnl`	An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search. CoRR Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2024	A*	`conf`	DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems. ICML Zhi Zheng, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Ke Tang
2024	J	`jnl`	DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems. CoRR Zhi Zheng, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Ke Tang
2024	A*	`conf`	Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. ICML Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2024	J	`jnl`	Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. CoRR Changliang Zhou, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2024	A*	`conf`	Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. KDD Fei Liu, Xi Lin, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2024	J	`jnl`	Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. CoRR Fei Liu, Xi Lin, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2024	A*	`conf`	Prompt Learning for Generalized Vehicle Routing. IJCAI Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2024	J	`jnl`	Prompt Learning for Generalized Vehicle Routing. CoRR Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2024	J	`jnl`	Self-Improved Learning for Scalable Neural Combinatorial Optimization. CoRR Fu Luo, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2024	A*	`conf`	UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems. NeurIPS Zhi Zheng, Changliang Zhou, Xialiang Tong, Mingxuan Yuan, Zhenkun Wang
2024	J	`jnl`	UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems. CoRR Zhi Zheng, Changliang Zhou, Xialiang Tong, Mingxuan Yuan, Zhenkun Wang
2023	J	`jnl`	Algorithm Evolution Using Large Language Model. CoRR Fei Liu, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2023	J	`jnl`	Heuristics for Vehicle Routing Problem: A Survey and Recent Advances. CoRR Fei Liu, Chengyu Lu, Lin Gui, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2023	J	`jnl`	Hybrid variable neighborhood search for automated warehouse scheduling. Optim. Lett. Ivan A. Davydov, Yury Kochetov, Daniil Tolstykh, Xialiang Tong, Jiawen Liu
2023	J	`jnl`	Large Language Model for Multi-objective Evolutionary Optimization. CoRR Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2022	J	`jnl`	A Data-Driven Column Generation Algorithm For Bin Packing Problem in Manufacturing Industry. CoRR Jiahui Duan, Xialiang Tong, Fei Ni, Zhenan He, Lei Chen, Mingxuan Yuan
2022	J	`jnl`	Bilevel learning for large-scale flexible flow shop scheduling. Comput. Ind. Eng. Longkang Li, Xiaojin Fu, Hui-Ling Zhen, Mingxuan Yuan, Jun Wang, Jiawen Lu, Xialiang Tong, Jia Zeng, Dirk Schnieders
2022	J	`jnl`	Exact algorithms for the multiple depot vehicle scheduling problem with heterogeneous vehicles, split loads and toll-by-weight scheme. Comput. Ind. Eng. Jiliu Li, Hu Qin, Huaxiao Shen, Xialiang Tong, Zhou Xu
2022	J	`jnl`	Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition. CoRR Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo
2021	A*	`conf`	A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems. NeurIPS Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Xialiang Tong, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng
2021	A*	`conf`	A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem. KDD Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He
2021	A	`conf`	Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing Problem. CIKM Qianwen Zhu, Xihan Li, Zihan Zhang, Zhixing Luo, Xialiang Tong, Mingxuan Yuan, Jia Zeng
2020	J	`jnl`	Bilevel Learning Model Towards Industrial Scheduling. CoRR Longkang Li, Hui-Ling Zhen, Mingxuan Yuan, Jiawen Lu, Xialiang Tong, Jia Zeng, Jun Wang, Dirk Schnieders
2019	A*	`conf`	A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry. KDD Lei Chen, Xialiang Tong, Mingxuan Yuan, Jia Zeng, Lei Chen