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. 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!
Honors & Awards
- IEEE (HK) CI Chapter Graduate Student Paper Competition First Runner-Up 2024
- Hong Kong PhD Fellowship Scheme (HKPFS) 2021
- National Scholarship 2020
- PPSN Best Paper Nomination 2020
Academic Service
- Journal Reviewer: IEEE TNNLS, IEEE TAI, Artificial Intelligence
- Conference Reviewer: ICML, NeurIPS, ICLR
News
Selected Publications (view all)
Efficient Pareto Manifold Learning with Low-Rank Structure
Weiyu Chen, James Kwok
International Conference on Machine Learning (ICML) 2024 Spotlight (3.5%)
Multi-Resolution Diffusion Models for Time Series Forecasting
Lifeng Shen, Weiyu Chen, James Kwok
International Conference on Learning Representations (ICLR) 2024
Enhancing Meta Learning via Multi-Objective Soft Improvement Functions
Runsheng Yu, Weiyu Chen, Xinrun Wang, James Kwok
International Conference on Learning Representations (ICLR) 2023
HV-Net: Hypervolume Approximation based on DeepSets
Ke Shang*, Weiyu Chen*, Weiduo Liao, Hisao Ishibuchi (* equal contribution)
IEEE Transactions on Evolutionary Computation 2022
Multi-Objective Deep Learning with Adaptive Reference Vectors
Weiyu Chen, James Kwok
Conference on Neural Information Processing Systems (NeurIPS) 2022
Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization
Weiyu Chen, Hisao Ishibuchi, Ke Shang
IEEE Transactions on Evolutionary Computation 2021