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Machine learning algorithms and theory; Statistical methods for big data and their applications
Tong Zhang is Chair Professor of Computer Science and Engineering, and Mathematics at the Hong Kong University of Science and Technology. His research interests are machine learning, big data and their applications. He obtained a BA in Mathematics and Computer Science from Cornell University, and a PhD in Computer Science from Stanford University. Before joining HKUST, Tong Zhang was a professor at Rutgers University, and worked previously at IBM, Yahoo as research scientists, Baidu as the director of Big Data Lab, and Tencent as the founding director of AI Lab. Tong Zhang was an ASA fellow and IMS fellow, and has served as the chair or area-chair in major machine learning conferences such as NIPS, ICML, and COLT, and has served as associate editors in top machine learning journals such as PAMI, JMLR, and Machine Learning Journal.
His research group investigates the fundamental theory of machine learning. Based on theoretical understanding, they design effective machine learning algorithms for practical problems. They also apply machine learning methods to various applications such as computer vision and natural language processing.