Chen, Weiyu

8 publications

NeurIPS 2025 Multi-Objective One-Shot Pruning for Large Language Models Weiyu Chen, Hansi Yang, Yunhao Gou, Han Shi, En-Liang Hu, Zhenguo Li, James Kwok

ICML 2025 Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging Weiyu Chen, James Kwok

NeurIPS 2025 SPMDM: Enhancing Masked Diffusion Models Through Simplifying Sampling Path Yichen Zhu, Weiyu Chen, James Kwok, Zhou Zhao

ICML 2025 Safe Delta: Consistently Preserving Safety When Fine-Tuning LLMs on Diverse Datasets Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang

ICML 2024 Efficient Pareto Manifold Learning with Low-Rank Structure Weiyu Chen, James Kwok

ICLR 2024 Multi-Resolution Diffusion Models for Time Series Forecasting Lifeng Shen, Weiyu Chen, James Kwok

ICLR 2023 Enhancing Meta Learning via Multi-Objective Soft Improvement Functions Runsheng Yu, Weiyu Chen, Xinrun Wang, James Kwok

NeurIPS 2022 Multi-Objective Deep Learning with Adaptive Reference Vectors Weiyu Chen, James T. Kwok