Dahua Lin received his Ph.D. from the department of EECS at Massachusetts Institute of Technology in 2012. He received his M.Phil. from the department of Information Engineering at the Chinese University of Hong Kong in 2007, and B.Eng. from the department of Electrical Engineering and Information Science at the University of Science and Technology of China in 2004. He was a research intern at Microsoft Research Silicon Valley, Microsoft Research Redmond, and Microsoft Research Asia, respectively in 2010, 2009, and 2004. He received the Best Student Paper Award at NIPS 2010, and the Outstanding Reviewer Awards at ICCV 2009 and ICCV 2011. His research spans multiple areas in machine learning, data science, and computer vision. In particular, he is interested in developing new probabilistic models and machine learning techniques for large-scale data analysis, as well as their applications in image and text understanding. He has also worked on a variety of topics in computer vision and pattern recognition before joining CUHK.

Machine Learning for Big Data Deep Understanding of Images and Text Bayesian Modeling and Inference