Fei Liu

According to our database, Fei Liu authored at least 24 papers between 2019 and 2024.

Collaborative distances:

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

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-objective Evolution of Heuristic Using Large Language Model.

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

CoRR, 2024

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

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

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