Weiyu Chen
PhD Student, Department of Computer Science and Engineering, HKUST
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
- ICML 2024Efficient Pareto Manifold Learning with Low-Rank StructureInternational Conference on Machine Learning (ICML), 2024
- ICLR 2024Multi-Resolution Diffusion Models for Time Series ForecastingInternational Conference on Learning Representations (ICLR), 2024
- ICLR 2023Enhancing Meta Learning via Multi-Objective Soft Improvement FunctionsInternational Conference on Learning Representations (ICLR), 2023
- NeurIPS 2022Multi-Objective Deep Learning with Adaptive Reference VectorsConference on Neural Information Processing Systems (NeurIPS), 2022
- TEVCHV-Net: Hypervolume Approximation based on DeepSetsIEEE Transactions on Evolutionary Computation, 2022* Equal Contribution
- TEVCFast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective OptimizationIEEE Transactions on Evolutionary Computation, 2021