Fei Liu

Fei Liu

CityU

Hello, I am Fei Liu, a PhD student supervised by Prof. Qingfu Zhang, Department of Computer Science, City University of Hong Kong.

Before joining CityU, I completed 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.

🔥 News

📝 Publications

ICML 2024
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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
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[Prompt Learning for Generalized Vehicle Routing] (coming soon)

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

TEVC 2023
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Machine Learning Assisted Multiobjective Evolutionary Algorithm for Routing and Packing

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

💻 Projects

🎖 Honors and Awards

  • 2021.03 Gold Award, EMO 2021 HUAWEI Logistic Competition
  • 2020.03 Outstanding master’s thesis, Chinese Society of Aeronautics and Astronautics
  • 2020.03 Outstanding master’s thesis & Graduate, NPU
  • 2019.10 National Scholarship

📖 Educations

  • 2020.09 - 2024.05 (now), PhD Student, 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 - (now), 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 (Oral), 2024
  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. Fei Liu, Xialiang Tong, Mingxuan Yuan, and Qingfu Zhang. Algorithm evolution using large language model. arXiv preprint arXiv:2311.15249, 2023
  6. Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, and Qingfu Zhang. Large language model for multi-objective evolutionary optimization. arXiv preprint arXiv:2310.12541, 2023
  7. 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
  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, Xi Lin, Zhenkun Wang, Qingfu Zhang, Tong Xialiang, and Mingxuan Yuan. Multi-task learning for routing problem with zero-shot generalization. NIPS, 2023, under revision
  12. Yiming Yao, Fei Liu, Ji Cheng, and Qingfu Zhang. Evolve cost-aware acquisition functions using large language models. PPSN, 2024
  13. 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
  14. Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, and Qingfu Zhang. Smooth tchebycheff scalarization for multi-objective optimization. ICML, 2024
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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