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.