Fei Liu

According to our database, Fei Liu authored at least 39 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Discovering Interpretable Programmatic Policies via Multimodal LLM-assisted Evolutionary Search.

Qinglong Hu, Xialiang Tong, Mingxuan Yuan, Fei Liu, Zhichao Lu, Qingfu Zhang

CoRR, August, 2025

EoH-S: Evolution of Heuristic Set using LLMs for Automated Heuristic Design.

Fei Liu, Yilu Liu, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan

CoRR, August, 2025

Fine-tuning Large Language Model for Automated Algorithm Design.

Fei Liu, Rui Zhang, Xi Lin, Zhichao Lu, Qingfu Zhang

CoRR, July, 2025

LRM-1B: Towards Large Routing Model.

Han Li, Fei Liu, Zhenkun Wang, Qingfu Zhang

CoRR, July, 2025

Learning to Insert for Constructive Neural Vehicle Routing Solver.

Fu Luo, Xi Lin, Mengyuan Zhong, Fei Liu, Zhenkun Wang, Jianyong Sun, Qingfu Zhang

CoRR, May, 2025

Machine Learning-Assisted Multiobjective Evolutionary Algorithm for Routing and Packing.

Fei Liu, Qingfu Zhang, Qingling Zhu, Xialiang Tong, Mingxuan Yuan

IEEE Trans. Evol. Comput., April, 2025

Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search.

Fei Liu, Qingfu Zhang, Xialiang Tong, Kun Mao, Mingxuan Yuan

CoRR, April, 2025

From Understanding to Excelling: Template-Free Algorithm Design through Structural-Functional Co-Evolution.

Zhe Zhao, Haibin Wen, Pengkun Wang, Ye Wei, Zaixi Zhang, Xi Lin, Fei Liu, Bo An, Hui Xiong, Yang Wang, Qingfu Zhang

CoRR, March, 2025

Destroy and Repair Using Hyper Graphs for Routing.

Ke Li, Fei Liu, Zhengkun Wang, Qingfu Zhang

CoRR, February, 2025

Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization.

Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Large Language Model for Multiobjective Evolutionary Optimization.

Fei Liu, Xi Lin, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang

Proceedings of the Evolutionary Multi-Criterion Optimization, 2025

MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework.

Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

LLM-Driven Neighborhood Search for Efficient Heuristic Design.

Zhuoliang Xie, Fei Liu, Zhenkun Wang, Qingfu Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

Multi-Objective Evolution of Heuristic Using Large Language Model.

Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Destroy and Repair Using Hyper-Graphs for Routing.

Ke Li, Fei Liu, Zhenkun Wang, Qingfu Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

LLM4AD: A Platform for Algorithm Design with Large Language Model.

Fei Liu, Rui Zhang, Zhuoliang Xie, Rui Sun, Kai Li, Xi Lin, Zhenkun Wang, Zhichao Lu, Qinyu Zhang

CoRR, 2024

CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention.

Han Li, Fei Liu, Zhi Zheng, Yu Zhang, Zhenkun Wang

CoRR, 2024

A Systematic Survey on Large Language Models for Algorithm Design.

Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Zhe Zhao, Xi Lin, Xialiang Tong, Mingxuan Yuan, Zhichao Lu, Zhenkun Wang, Qingfu Zhang

CoRR, 2024

AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure.

Yu Zhang, Kefeng Zheng, Fei Liu, Qingfu Zhang, Zhenkun Wang

CoRR, 2024

Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization.

Fei Liu, Xi Lin, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan

CoRR, 2024

L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks.

Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang

CoRR, 2024

An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search.

Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang

CoRR, 2024

Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models.

Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Evolve Cost-Aware Acquisition Functions Using Large Language Models.

Yiming Yao, Fei Liu, Ji Cheng, Qingfu Zhang

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization.

Fei Liu, Xi Lin, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Prompt Learning for Generalized Vehicle Routing.

Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Smooth Tchebycheff Scalarization for Multi-Objective Optimization.

Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks.

Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

High-Throughput Multi-Objective Bayesian Optimization using Gradients.

Yiming Yao, Fei Liu, Qingfu Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Multiobjective Lipschitz Bandits under Lexicographic Ordering.

Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Qingfu Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MOEA/D with gradient-enhanced kriging for expensive multiobjective optimization.

Fei Liu, Qingfu Zhang, Zhonghua Han

Nat. Comput., June, 2023

Algorithm Evolution Using Large Language Model.

Fei Liu, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang

CoRR, 2023

Large Language Model for Multi-objective Evolutionary Optimization.

Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang

CoRR, 2023

Heuristics for Vehicle Routing Problem: A Survey and Recent Advances.

Fei Liu, Chengyu Lu, Lin Gui, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan

CoRR, 2023

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization.

Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Two-Stage Algorithm for Integer Multiobjective Simulation Optimization.

Fei Liu, Qingfu Zhang

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

A Decomposition-Based Hybrid Algorithm for Multi-objective Vehicle Routing Problem with Time Windows.

Yiwen Wang, Fei Liu, Qingfu Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2019

Efficient Multi-Objective Evolutionary Algorithm for Constrained Global Optimization of Expensive Functions.

Zhonghua Han, Fei Liu, Chenzhou Xu, Keshi Zhang, Qingfu Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2019