Qiang Yang

Qiang Yang is a Fellow of Canadian Academy of Engineering (CAE) and Royal Society of Canada (RSC), Chief Artificial Intelligence Officer of WeBank and Chair Professor and former head of CSE Department of Hong Kong Univ. of Sci. and Tech. He is the Conference Chair of AAAI-21, President of Hong Kong Society of Artificial Intelligence and Robotics(HKSAIR) , the President of Investment Technology League (ITL) and a former President of IJCAI (2017-2019). He is a fellow of AAAI, ACM, IEEE and AAAS. His research interests include transfer learning and federated learning. He is the founding EiC of two journals: IEEE Transactions on Big Data and ACM Transactions on Intelligent Systems and Technology. His latest books are Transfer Learning , Federated Learning, Practicing Federated Learning, Privacy-preserving Computing, Explainable Artificial Intelligence. He co-wrote a book on advising graduate students on how to do successful research in 2012. Qiang Yang graduated from Peking University in 1982 with a Bachelor's degree in Astrophysics. He then joined University of Maryland in USA through the CUSPEA program in Physics, and earned a Master's degree in Astronomy in 1985. He got his Masters degree in Computer Science in 1987 and PhD degree in Computer Science in 1989. He then joined the University of Waterloo, Computer Science Department as an Assistant Professor. He got his tenure and was promoted to Associate Professor in Computer Science at University of Waterloo in 1994. He joined Simon Fraser University as an Associate Professor and NSERC Industry Chair in 1995. He was promoted to full professor at Simon Fraser University in 2001. He moved to Hong Kong and joined Hong Kong University of Science and Technology in 2001, where he is a Chair Professor of Computer Science.