Chieh-Hsin Lai (Jesse)
Scholar

Chieh-Hsin Lai (Jesse)

Google Scholar ID: KDnKGu8AAAAJ
Sony AI; Visiting Assistant Professor of Applied Math, National Yang Ming Chiao Tung University
Generative ModelsDiffusion ModelPartial Differential EquationsAI4Science
Citations & Impact
All-time
Citations
1,108
 
H-index
17
 
i10-index
21
 
Publications
20
 
Co-authors
7
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
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.