Deep Generative Models and Representation Learning

Can we learn meaningful representation from real world videos or biomedical signals ?

Probabilistic Models and Inference

Apply probabilistic modeling, deep generative modeling and inference to solve inverse problem.

Regularization, Semi supervised Learning and Data augmentation

Apply smoothness based regularization to help semi supervised learning.