I am currently working as a postdoc in Zhejiang University (ZJU :zju:). I received the B.E. degree in computer science and engineering from the Southern University of Science and Technology (SUSTech :sustech:) in July 2018, the M.E. degree in computer science and engineering from the Harbin Institute of Technology (HIT:hit:) in July 2020, and the Ph.D in computer science in City University of Hong Kong (CityUHK:cityu:) in February 2026.

My current research interests include compositionality, AI4Psy, life-long learning(Agent), multi-objective optimization.

☎️ Contact information

📧 Email address: [email protected]

📝 Google scholar: https://scholar.google.com/citations?user=tUNrOg8AAAAJ&hl=en

📜 Research Publications

• Plug-and-Play Compositionality for Boosting Continual Learning with Foundation Models

  • Weiduo Liao, Fei Han, Hisao Ishibuchi, Qingfu Zhang
  • International Conference on Learning Representations (ICLR), 2026 (Oral)

  📖pdf / :github:code

• A multi-objective perspective towards improving meta-generalization

  • Weiduo Liao, Ying Wei, Qirui Sun, Qingfu Zhang, Hisao Ishibuchi
  • International Joint Conference on Neural Networks (IJCNN), 2024

  📖pdf

• Prompt learning for generalized vehicle routing

  • Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
  • Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI), 2024

  📖pdf / :github:code

• Data-driven preference sampling for pareto front learning

  • Rongguang Ye, Lei Chen, Weiduo Liao, Jinyuan Zhang, Hisao Ishibuchi
  • International Joint Conference on Neural Networks (IJCNN), 2024

  📖pdf

• Does continual learning meet compositionality? new benchmarks and an evaluation framework

  • Weiduo Liao, Ying Wei, Mingchen Jiang, Qingfu Zhang, Hisao Ishibuchi
  • Advances in Neural Information Processing Systems (NeurIPS), 2023

  📖pdf / :github:code

• HV-Net: Hypervolume approximation based on deepsets

  • Ke Shang, Weiyu Chen, Weiduo Liao, Hisao Ishibuchi
  • IEEE Transactions on Evolutionary Computation (TEVC), 2023

  📖pdf / :github:code

• HVC-Net: Deep learning based hypervolume contribution approximation

  • Ke Shang, Weiduo Liao, Hisao Ishibuchi
  • Parallel Problem Solving from Nature (PPSN), 2022

  📖pdf / :github:code

• Hypervolume-optimal μ-distributions on line/plane-based pareto fronts in three dimensions

  • Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao
  • IEEE Transactions on Evolutionary Computation (TEVC), 2022

  📖pdf

• Parallel impleentation of MOEA/D with parallel weight vectors for feature selection

  • Weiduo Liao, Hisao Ishibuchi, Lie Meng Pang, Ke Shang
  • IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020

  📖pdf

🧑‍🏫 Teaching Experience

Spring 2024

Topics in Optimization and its Applications in Computer Science CityUHK.