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Resume (English only)
Academic Achievements
- NeurIPS 2024 accepted papers: PaGoDA, GenWarp
- ICLR 2024 accepted papers: CTM, MPGD, SAN
- Organizing and presenting a tutorial on Diffusion Models @ ICASSP 2025
- Organizing and giving a tutorial on Diffusion Models @ ISMIR 2024
Research Experience
- Research scientist and tech lead at Sony AI’s Music Foundation Model Team, focusing on enhancing diffusion models, emphasizing sample quality/diversity, sampling speed, and controllable generation
- Visiting Assistant Professor at National Yang Ming Chiao Tung University’s Applied Mathematics Department, collaborating and supervising students with Prof. Ming-Chih Lai on deep learning methods for partial differential equations
Education
- Ph.D. in Mathematics from the University of Minnesota – Twin Cities, supervised by Prof. Gilad Lerman and in close collaboration with Prof. Dongmian Zou, graduated in May 2021
- Bachelor’s degree in Mathematics from National Tsing Hua University, Taiwan, graduated in 2015
Background
Research interests include deep generative modeling and robustness, particularly the foundations of diffusion models; inverse problems, especially in media restoration utilizing generative models; mathematically explainable AI.