个人简介

1996年于清华大学获得学士学位，2005年从加州大学洛杉矶分校(UCLA)获得计算机科学博士学位，同年被美国Xerox Palo Alto研究中心(Xerox PARC)聘为研究员，2007年12月加入北京大学信息科学技术学院计算机科学技术系数字媒体研究所。在国际重要学术期刊和学术会议发表学术论文100余篇，多篇论文获得最佳论文奖。 Postdoctoral Position Openings A Postdoctoral Position is currently available in computer vision and autonomous learning. Skills required include mathematical modeling, programming ability (C++, python) and English communication. Knowledge of deep learning and reinforcement learning is strongly preferred. Some publications in top conferences and journals are pre-requisite. Frequent international academic collaboration is expected. Please contact me with CV, and preferable, research statement for more details. RESEARCH INTERESTS Computer Vision, Medical Image Analysis, Statistical Learning and Computing, Digital Visual Arts Computer Vision and Digital Arts (CVDA) The Computer Vision and Digital Art (CVDA) research group was founded in 2007 within the Institute of Digital Media at Peking University after I joined PKU. We focus on developing computational theories and models to solve challenging computer vision problems in light of biologically plausible evidences of visual perception and cognition. Our primary goal is to establish a mathematical foundation of understanding the computational aspect of the robust and efficient mechanisms of human visual perception, cognition, learning and even more. We also believe that the marriage of science and art will stimulate exciting inspirations on producing creative expressions of visual patterns. My research interests include: Computational models for visual attention and autonomous learning Motion, action, behavior modeling and analysis Scene and object structure analysis Medical Image Analysis Multimedia and mobile computing Algorithms (Discussion Class, Undergraduate Course) @ Sch'l of EECS, Peking University Theories, Models and Methods of Computer Vision (Graduate/Undergarduate Course) @ Sch'l of EECS, Peking University Theories and Methods Pattern Recognition and Statistical Learning (Undergraduate Course) @ Sch'l of EECS, Peking University Introduction to Computer Systems (Undergraduate Course) @ Sch'l of EECS, Peking University Models and Methods of Computer Vision (Graduate Course) @ Sch'l of EECS, Peking University Fundamentals of Digital Media (Undergraduate course, co-teaching) @ Sch'l of EECS, Peking University Video Coding and Understanding (Graduate course, co-teaching) @ Sch'l of EECS, Peking University Computer Vision (Graduate course, co-teaching) @ Sch'l of EECS, Peking University