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I graduated with a Ph.D. from Simon Fraser University, where I was advised by Prof. Greg Mori. I received my M.Sc. from University of Alberta, and my B.Sc. from Harbin Institute of Technology. Before joining CS@UofM in July 2012, I worked as an NSERC postdoc fellow at UIUC with Prof. David Forsyth. My research interests lie in computer vision and machine learning. More specifically, my research interests include:
Prospective students: if you are interested in joining my group, please have a look at this page. For the Fall 2017 admission, I am especially interested in PhD applicants with interests/background in computer vision and deep learning, such as image understanding (e.g. object classification, detection, segmentation, text/image analysis), video analysis (e.g. action recognition, video summarization), advanced learning algorithms (e.g. transfer learning, weakly supervised learning), etc. Previous experience with deep learning models (e.g. CNN, RNN) and common software frameworks (e.g. Caffe, Torch, Tensorflow, Theano) is highly desirable, although not strictly required. Some of the projects will be done in collaboration with industrial partners. Students will have the opportunities of working on interesting research problems with potential real impact on people's lives. Students will also have industry internship opportunities that enrich their experience and skills.