Professor YANG Qiang received his BSc. degree in Astrophysics from Peking University and his PhD degree from the Department of Computer Science at University of Maryland, College Park, in 1989. He was a faculty member in the Department of Computer Science and Engineering at Hong Kong University of Science and Technology between 2001 and 2023, in which he was a Chair Professor (2015 -2023) and former head of the CSE department (2015 – 2018). Professor and NSERC Industry Chair at Simon Fraser University and Associate Professor at the University of Waterloo in Canada between 1989 and 2001.
Professor Yang’s research interests lie in artificial intelligence, machine learning, federated learning, transfer learning, case-based reasoning and AI planning, and he is a world-leading pioneer in the research and application of federated learning, transfer learning and AI planning. In federated learning, he and his colleagues have developed novel algorithms for distributed and privacy-preserving machine learning, led the development of the first international standard on federated learning, launched the first open-source software platform on federated learning and developed many successful federated learning applications in, for example, finance, medicine and online commerce. In transfer learning, he and his students have developed novel algorithms for transfer learning under complex constraints and applied the algorithms to many challenging real-world problems. In AI planning, he and his students have developed the theory and one of the first open-source software applications for hierarchical automated planning.
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