His research interest is in computer vision and machine learning. In recent years, he has primarily focused on deep learning and its applications in high-level visual understanding, probabilistic inference, and big-data analytics. He has published about 60 papers, and his seminal work on a new construction of Bayesian nonparametric models won the best student paper award at NIPS, the most prestigious conference on machine learning, in 2010. Before joining CUHK, he served as a research assistant professor at Toyota Technological Institute at Chicago from 2012 to 2014. He received the BEng degree from the University of Science and Technology of China in 2004, the MPhil degree from CUHK in 2006, and a PhD from Massachusetts Institute of Technology in 2012.