Scholar
Chin-Wei Huang
Google Scholar ID: 0sxcBnwAAAAJ
Microsoft Research
Citations & Impact
Citations
2,574
H-index
17
i10-index
20
Publications
20
Co-authors
26
list available
Publications
Resume (English only)
Background
- Senior researcher at MSR AI4Science, working on machine learning for accelerating computational chemistry.
- Develops generative models and architectures that handle special data structures and constraints (e.g., functional input, symmetry).
- Research interests in applications include molecular dynamics simulation, quantum chemistry, and enhanced sampling methods.
- PhD research focuses on probability flows in deep learning, including flow-based models, latent variable models, and diffusion models.
- Also worked on efficient algorithms for approximate inference and Bayesian deep learning.
