I am interested in computational methods for learning low-complexity models from high-dimensional data, which can be highlighted in the following chart.
Specifically, our group are working on the following directions:
- Foundations and Applications of Generative AI (current)
- Low-Dim Structures of Deep Representation Learning (current)
- Compressive Training & Fine-tuning Foundation Models (current)
- Machine Learning for Scientific Applications (current)
- Robustness of Deep Learning Models
- Nonconvex Optimization for Signal Processing & Machine Learning
Funding Acknowledgement
Our group acknowledges generous support from the National Science Foundation (NSF), Office of Naval Research (ONR), Amazon Research, KLA Corporation, MICDE, and MIDAS