publications

2024

  1. ICML 2024
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    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

2023

  1. 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

2022

  1. NeurIPS 2022
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    Multi-Objective Deep Learning with Adaptive Reference Vectors
    Weiyu Chen, and James Kwok
    Conference on Neural Information Processing Systems (NeurIPS), 2022
  2. 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

2021

  1. 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