I received the B.E. degree in computer science and engineering from the Southern University of Science and Technology (SUSTech :sustech:), Shenzhen, China, in July 2018, and the M.E. degree in computer science and engineering from the Harbin Institute of Technology (HIT:hit:), Harbin, China, in July 2020. I am currently pursuing the joint Ph.D. degree with SUSTech and City University of Hong Kong, Hong Kong (CityUHK:cityu:).

My current research interests include multi-objective optimization, meta-learning, continual learning, and compositionality.

[photo from Dr Han]

☎️ Contact information

📧 Email address: [email protected]

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

📜 Research Publications

• 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 / code 🚀 coming soon

• 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 / 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 / code 🚀 coming soon

• 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 / code

• HV-Net: Hypervolume approximation based on deepsets

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

  pdf / code

• HVC-Net: Deep learning based hypervolume contribution approximation

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

  pdf / 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 / code 🚀 coming soon

• Parallel implementation 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 / code 🚀 coming soon

🧑‍🏫 Teaching Experience

Spring 2024

Topics in Optimization and its Applications in Computer Science CityUHK.

Spring 2022

Advance Optimization Algorithm Design SUSTech.

Fall 2021

Advance Algorithm Design SUSTech.