Hello, I am Fei Liu, a Postdoc researcher in Prof. Qingfu Zhang’s Group, Department of Computer Science, City University of Hong Kong.

I completed my PhD degree at CityU supervised by Prof. Qingfu Zhang, my master’s and bachelor’s degrees at Northwestern Polytechnical University supervised by Prof. Zhonghua Han.

I am currently interested in automatic algorithm design, artificial intelligence, optimization algorithm and their applications on real-world problems.

• You can found my CV in this link
• For more information, you can visit my google scholar , ResearchGate, and Github

🔥 News

• *2025.03:  🎉🎉 We had the opportunity to present a Tutorial on Algorithm Design with Large Language Models at EMO 2025! The tutorial slides are available here.!
• 2025.01:  🎉🎉 Platform LLM4AD has received IEEE FLAME Second Price (Only One)!
• 2024.12:  🎉🎉 Paper “LLM4AD: A Platform for Algorithm Design with Large Language Model” is online !
• 2024.10:  🎉🎉 Survey Paper “A Systematic Survey on Large Language Models for Algorithm Design” is online !
• 2024.09:  🎉🎉 “Evolve Cost-aware Acquisition Functions Using Large Language Models” has been nominated as PPSN 2024 Best Paper Candidate!
• 2024.08:  🎉🎉 IEEE HK CI Postgraduate Student Research Paper Competition CHAMPION!
• 2024.05:  🎉🎉 “Evolution of Heuristics: Towards Efficient Automatic Algorithm Design using Large Language Model” has been accepted at ICML 2024 (Oral) 1.5% accept rate.
• 2024.05:  🎉🎉 “Multi-task Learning for Routing Problem with Cross-problem Zero-shot Generalization” has been accepted at KDD 2024.
• 2024.04:  🎉🎉 “Prompt Learning for Generalized Vehicle Routing” has been accepted at IJCAI 2024.

📝 Publications

ICML 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

IJCAI 2024

[Prompt Learning for Generalized Vehicle Routing] (coming soon)

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

TEVC 2023

Machine Learning Assisted Multiobjective Evolutionary Algorithm for Routing and Packing

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

💻 Projects

• 🔥LLM4AD A Platform on Algorithm Design with Large Language Model
• EoH: Evolution of Heuristics
• LLM4Opt: A Collection of LLM for Optimization

🎖 Honors and Awards

• 2025.01: IEEE FLAME Competition 2024 Second Price (only one)
• 2024.08: IEEE HK CI Postgraduate Student Research Paper Competition 2024 CHAMPION
• 2021.03 Gold Award, EMO 2021 HUAWEI Logistic Competition
• 2020.03 Outstanding master’s thesis, CSAA

📖 Educations

• 2020.09 - 2025.02, PhD, City University of Hong Kong
• 2017.09 - 2020.06, Master, Northwestern Polytechnical University
• 2013.09 - 2017.07, Undergraduate, Northwestern Polytechnical University

💻 Visiting Experiences

• 2024.03, Visiting Scholar, SusTech, China
• 2016.1 - 2016.7, Visiting Student, UPM, Spain

📝 Paper List

Paper

1. Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, and Qingfu Zhang. Evolution of heuristics: towards efficient automatic algorithm design using large language model. ICML, 2024 (Oral Top 1.5%)
2. Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, and Mingxuan Yuan. Prompt learning for generalized vehicle routing. IJCAI, 2024
3. Fei Liu, Xi Lin, Qingfu Zhang, Xialiang Tong, and Mingxuan Yuan. Multi-task learning for routing problem with cross-problem zero-shot generalization. SIGKDD, 2024
4. Fei Liu, Qingfu Zhang, Qingling Zhu, Xialiang Tong, and Mingxuan Yuan. Machine learning assisted multiobjective evolutionary algorithm for routing and packing. IEEE Transactions on Evolutionary Computation, 2024
5. Shunyu Yao*, Fei Liu*, Xi Lin, Zhichao Lu, Zhenkun Wang, and Qingfu Zhang. Multi-objective Evolution of Heuristic Using Large Language Model. AAAI, 2025 (Oral)
6. Yu Zhang, Kefeng Zheng, Fei Liu#, Qingfu Zhang, and Zhenkun Wang. AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure. Physics of Fluid 2025.
7. Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, and Qingfu Zhang. Large language model for multi-objective evolutionary optimization. EMO 2025.
8. Fei Liu and Qingfu Zhang. A two-stage algorithm for integer multiobjective simulation optimization. In International Conference on Evolutionary Multi-Criterion Optimization, pages 17–28. Springer, 2023
9. Fei Liu, Qingfu Zhang, and Zhonghua Han. MOEA/D with gradient-enhanced kriging for expensive multiobjective optimization. Natural Computing, 22(2):329–339, 2023
10. Fei Liu, Zhong-Hua Han, Yang Zhang, Ke Song, Wen-Ping Song, Feng Gui, and Ji-Bin Tang. Surrogatebased aerodynamic shape optimization of hypersonic flows considering transonic performance. Aerospace Science and Technology, 93:105345, 2019
11. Fei Liu, Xialiang Tong, Mingxuan Yuan, and Qingfu Zhang. Algorithm evolution using large language model. arXiv preprint arXiv:2311.15249, 2023
12. Fei Liu, Chengyu Lu, Lin Gui, Qingfu Zhang, Xialiang Tong, and Mingxuan Yuan. Heuristics for vehicle routing problem: A survey and recent advances. arXiv preprint arXiv:2303.04147, 2023
13. Ke Li, Fei Liu, Zhengkun Wang, and Qingfu Zhang. Destroy and Repair Using Hyper Graphs for Routing. AAAI, 2025.
14. Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, and Zhenkun Wang. MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework. CVRP, 2025.
15. Yiming Yao, Fei Liu, Ji Cheng, and Qingfu Zhang. Evolve cost-aware acquisition functions using large language models. PPSN, 2024
16. Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, and Qingfu Zhang. Multiobjective lipschitz bandits under lexicographic ordering. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 38, pages 16238–16246, 2024
17. Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, and Qingfu Zhang. Smooth tchebycheff scalarization for multi-objective optimization. ICML, 2024
18. Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, and Zhenkun Wang. Neural combinatorial optimization with heavy decoder: Toward large scale generalization. Advances in Neural Information Processing Systems, 36, 2024
19. Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, and Qingfu Zhang. L-autoda: Leveraging large language models for automated decision-based adversarial attacks. GECCO, 2024
20. Yiwen Wang, Fei Liu, and Qingfu Zhang. A decomposition-based hybrid algorithm for multi-objective vehicle routing problem with time windows. IEEE Congress on Evolutionary Computation, 2023
21. Zhonghua Han, Fei Liu, Chengzhou Xu, Keshi Zhang, and Qingfu Zhang. Efficient multi-objective evolutionary algorithm for constrained global optimization of expensive functions. IEEE Congress on Evolutionary Computation, 2019
22. Bei Liu, Hua Liang, Zhonghua Han, Yinghong Li, Fei Liu, Jiangbo Chi, and Zhiwen Ding. Numerical research on airfoil transition delay by alternative current dielectric barrier discharge actuation. Chinese Journal of Aeronautics, 2019
23. Sun Xiangcheng, Han Zhonghua, and Fei Liu. Design and analysis of hypersonic vehicel airfoil/wing at wide-range mach number. Acta Aeronautica et Astronautica Sinica, 39(6):31–42, 2018
24. Yang Zhang, Zhong-Hua Han, Fei Liu, and Chen-Zhou Xu. Aerodynamic design optimization of hypersonic wing over wide mach-number range considering lift matching. In 32nd Congress of the International Council of the Aeronautic Sciences, ICAS Paper, volume 476, page 2021, 2020

Patent

1. A wide-mach-number-range symmetric airfoil with high lift-curve slope and its design method. Patent: ZL 201811319147.1, 2019