Weiyu Chen

PhD Student, Department of Computer Science and Engineering, HKUST

prof_pic.jpg

Welcome to my personal webpage! I am currently a third-year PhD student at The Hong Kong University of Science and Technology (HKUST), supervised by Prof. James Kwok. I am also a recipient of the Hong Kong PhD Fellowship Scheme (HKPFS).

My research focuses on multi-task training and fine-tuning of machine learning models, including CNNs, diffusion models, and large language models. If you are interested in collaboration or discussing research ideas, please feel free to contact me via wchenbx_AT_connect.ust.hk!

news

May 02, 2024 Our paper has been accepted at ICML 2024!

selected publications

  1. ICML 2024
    lorpman.png
    Efficient Pareto Manifold Learning with Low-Rank Structure
    Weiyu Chen, and James Kwok
    International Conference on Machine Learning (ICML), 2024
  2. ICLR 2024
    Multi-Resolution Diffusion Models for Time Series Forecasting
    Lifeng Shen, Weiyu Chen, and James Kwok
    International Conference on Learning Representations (ICLR), 2024
  3. ICLR 2023
    Enhancing Meta Learning via Multi-Objective Soft Improvement Functions
    Runsheng Yu, Weiyu Chen, Xinrun Wang, and James Kwok
    International Conference on Learning Representations (ICLR), 2023
  4. NeurIPS 2022
    gmooar.png
    Multi-Objective Deep Learning with Adaptive Reference Vectors
    Weiyu Chen, and James Kwok
    Conference on Neural Information Processing Systems (NeurIPS), 2022
  5. TEVC
    HV-Net: Hypervolume Approximation based on DeepSets
    Ke Shang*, Weiyu Chen*, Weiduo Liao, and Hisao Ishibuchi
    IEEE Transactions on Evolutionary Computation, 2022
    * Equal Contribution
  6. TEVC
    Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization
    Weiyu Chen, Hisao Ishibuchi, and Ke Shang
    IEEE Transactions on Evolutionary Computation, 2021