About me

I am currently a Postdoctoral Fellow in the Department of Computer Science at City University of Hong Kong (CityUHK), supervised by Prof. Qingfu ZHANG. I completed my Ph.D. degree at CityUHK, also under Prof. Qingfu ZHANG’s supervision. Prior to this, I obtained both my master’s and bachelor’s degrees from the School of Marine Science and Technology at at Northwestern Polytechnical University (NPU), where I was supervised by Prof. Baowei SONG and Prof. Peng WANG.

My research interests include multiobjective optimization, Bayesian optimization, and their applications.

Email: liazhao5-c@my.cityu.edu.hk

Selected Publications

TEVC 2023
sym

IEEE Transactions on Evolutionary Computation

Hypervolume-Guided Decomposition for Parallel Expensive Multiobjective Optimization

[Accepted Version] [PDF] [code]

Liang Zhao and Qingfu Zhang.

TEVC 2024
sym

IEEE Transactions on Evolutionary Computation

Many-to-Few Decomposition: Linking R2-based and Decomposition-based Multiobjective Efficient Global Optimization Algorithms

[Accepted Version] [PDF] [code]

Liang Zhao, Xiaobin Huang, Chao Qian, and Qingfu Zhang.

Educations

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

Honors and Awards

  • 2023 Outstanding Academic Performance Award for Research Degree Students, Awarded by CityUHK
  • 2022 Outstanding Master’s Degree Thesis, Awarded by China Ordnance Society (COS)
  • 2014, 2015, 2016, 2019 National Scholarship, Awarded by Ministry of Education of China

Publication List

Journal Papers

  1. Liang Zhao, Xiaobin Huang, Chao Qian, and Qingfu Zhang. "Many-to-Few Decomposition: Linking R2-based and Decomposition-based Multiobjective Efficient Global Optimization Algorithms". IEEE Transactions on Evolutionary Computation, 2024 (in press). [Accepted Version] [PDF] [Code]
  2. Liang Zhao and Qingfu Zhang. "Hypervolume-Guided Decomposition for Parallel Expensive Multiobjective Optimization". IEEE Transactions on Evolutionary Computation, 28(2): 432-444, 2024. [Accepted Version] [PDF] [Code]
  3. Liang Zhao, Peng Wang, Baowei Song, Xinjing Wang, and Huachao Dong. "An Efficient Kriging Modeling Method for High-dimensional Design Problems based on Maximal Information Coefficient". Structural and Multidisciplinary Optimization 61 (2020): 39-57. [PDF]
  4. Liang Zhao, Peng Wang, Chunya Sun, and Baowei Song. "Modeling and Motion Simulation for a Flying-wing Underwater Glider with a Symmetrical Airfoil". China Ocean Engineering 33 (2019): 322-332. [PDF]
  5. Chongbo Fu, Peng Wang, Liang Zhao, and Xinjing Wang. "A Distance Correlation-based Kriging Modeling Method for High-dimensional Problems". Knowledge-Based Systems 206 (2020): 106356. [PDF]

Conference Papers

  1. Liang Zhao, and Qingfu Zhang. "Exact Formulas for the Computation of Expected Tchebycheff Improvement". In Proceedings of the 2023 IEEE Congress on Evolutionary Computation (CEC'23), Chicago, IL, 2023, pp.1-8. [PDF] [Code]
  2. Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Zhenkun Wang, Han Zhao, and Qingfu Zhang. "LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch". In Advances in Neural Information Processing Systems 37 (NeurIPS'24, Datasets and Benchmarks Track), Vancouver, Canada, 2024. [Preprint PDF] [Code]
  3. Keyao Fu, Peng Wang, Bin Sun, Liang Zhao, and Chuang Liu. "Design, Development and Testing of a New Solar-powered Bionic Underwater Glider with Multi-locomotion Modes". In OCEANS 2019-Marseille, pp. 1-7. IEEE, 2019. [PDF]

Journal Reviewers

IEEE Transactions on Evolutionary Computation, SCIENCE CHINA Information Sciences, Evolutionary Computation, Swarm and Evolutionary Computation, Memetic Computing