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Bio
Professor Ivor Tsang, in the School of Computer Science at UTS, is working at the forefront of big data analytics and Artificial Intelligence. His work is recognised internationally for its outstanding contributions to those fields.
An IEEE Fellow, ARC Future Fellow and Professor of AI at UTS, Ivor’s research focuses on transfer learning, deep generative models, learning with weakly supervision, big data analytics for data with extremely high dimensions in features, samples and labels, and their application to computer vision and pattern recognition.
In 2013, Ivor received his ARC Future Fellowship for his outstanding research on big data analytics and large-scale machine learning.
Ivor is elevated to IEEE Fellow (2022) for his outstanding contributions to large-scale machine learning and transfer learning.
In addition, he received the IEEE TNN Outstanding 2004 Paper Award in 2007 for his innovative work on solving the inverse problem of non-linear representations.
He serves as a Senior Area Chair/Area Chair for NeurIPS, ICML, AAAI and IJCAI, the Steering Committee for ACML, the Editorial Board for JMLR, MLJ, JAIR and IEEE TPAMI, and the Partner Editor of Springer Nature Computer Science. He is also the Program Chair of ACML 2021.
An IEEE Fellow, ARC Future Fellow and Professor of AI at UTS, Ivor’s research focuses on transfer learning, deep generative models, learning with weakly supervision, big data analytics for data with extremely high dimensions in features, samples and labels, and their application to computer vision and pattern recognition.
In 2013, Ivor received his ARC Future Fellowship for his outstanding research on big data analytics and large-scale machine learning.
Ivor is elevated to IEEE Fellow (2022) for his outstanding contributions to large-scale machine learning and transfer learning.
In addition, he received the IEEE TNN Outstanding 2004 Paper Award in 2007 for his innovative work on solving the inverse problem of non-linear representations.
He serves as a Senior Area Chair/Area Chair for NeurIPS, ICML, AAAI and IJCAI, the Steering Committee for ACML, the Editorial Board for JMLR, MLJ, JAIR and IEEE TPAMI, and the Partner Editor of Springer Nature Computer Science. He is also the Program Chair of ACML 2021.
Research Interests
Papers共 420 篇Author StatisticsCo-AuthorSimilar Experts
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IEEE transactions on neural networks and learning systemsno. 4 (2024): 5170-5182
J. Artif. Intell. Res. (2024): 1237-1280
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERINGno. 3 (2024): 1099-1112
ICLR 2024 (2024)
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMSno. 5 (2024): 6322-6337
IEEE Transactions on Dependable and Secure Computingno. 99 (2024): 1-15
CoRR (2024)
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European Archives of Psychiatry and Clinical Neurosciencepp.1-11, (2024)
ICLR 2024 (2024)
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