Prof. YANG Qiang
Chief Artificial Intelligence Officer (CAIO), Chair Professor of Artificial Intelligence
Director of PolyU Academy for Artificial Intelligence (DoPAAI)
- M501i
- +852 3400 3562
- profqiang.yang@polyu.edu.hk
- Personal Website
ORCID ID
Google ScholarBiography
Professor Qiang Yang received his BSc. degree in Astrophysics from Peking University, MSc degree in Astrophysics, MSc in Computer Science and PhD in Computer Science at University of Maryland, USA.
Since joining PolyU on 1 April 2025, Professor Yang holds multiple roles, including Director of PolyU Academy of Artificial Intelligence, Chief Artificial Intelligence Officer of the University, and half-time Chair Professor of AI in the Department of Data Science and Artificial Intelligence.
He is a fellow of Canadian Academy of Engineering (CAE) and Royal Society of Canada (RSC) and a fellow of IEEE, ACM, AAAI, AAAS, IAPR and CAAI. He was the Founding Editor in Chief of the ACM Transactions on Intelligent Systems and Technology (ACM TIST) and of IEEE Transactions on Big Data (IEEE TBD).
Research Overview
Federated Learning
Transfer Learning
Machine Learning
Planning and Data Mining in Artificial Intelligence
Education and Academic Qualifications
- PhD of Computer Science, University of Maryland, USA
- Master of Astrophysics & Computer Science, University of Maryland, USA
- Bachelor of Astrophysics, Peking University, China
Professional Qualifications
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Fellow of Institute of Electrical and Electronics Engineers (IEEE)
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Fellow of International Association of Pattern Recognition (IAPR)
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Fellow of American Association for the Advancement of Science (AAAS)
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Fellow of Association for the Advancement of Artificial Intelligence (AAAI)
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Fellow of Association of Computing Machinery (ACM)
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Fellow of Chinese Association of Artificial Intelligence (CAAI)
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Fellow of Canadian Academy of Engineering (CAE)
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Fellow of Royal Society of Canada (RSC)
