Sun, Wei-Fang

10 publications

NeurIPS 2025 Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking Chen-Hao Chao, Wei-Fang Sun, Hanwen Liang, Chun-Yi Lee, Rahul Krishnan

NeurIPS 2025 EDELINE: Enhancing Memory in Diffusion-Based World Models via Linear-Time Sequence Modeling Jia-Hua Lee, Bor-Jiun Lin, Wei-Fang Sun, Chun-Yi Lee

ICML 2025 Retraining-Free Merging of Sparse MoE via Hierarchical Clustering I-Chun Chen, Hsu-Shen Liu, Wei-Fang Sun, Chen-Hao Chao, Yen-Chang Hsu, Chun-Yi Lee

ICML 2024 Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun, Chien Feng, Cho-Jui Hsieh, Chun-Yi Lee

NeurIPS 2024 Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee

JMLR 2023 A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee

ICML 2023 On Investigating the Conservative Property of Score-Based Generative Models Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee

NeurIPS 2023 Training Energy-Based Normalizing Flow with Score-Matching Objectives Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee

ICLR 2022 Denoising Likelihood Score Matching for Conditional Score-Based Data Generation Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee

ICML 2021 DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee