His research interest lies in computer vision and machine learning, with a focus on developing scalable algorithms to learn robust representations from large-scale data including the following specific topics:

Deep Learning (Deep Auto-Encoder, Deep CNN, LSTM, Generative Model)
Transfer Learning, Multi-view Learning
Low-Rank Modeling, Manifold Learning, Subspace Learning, Metric Learning
Large-scale Data Analysis, Social Media Analytics