基本信息
浏览量:2114
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
个人简介
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.
研究兴趣
论文共 420 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
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)
引用0浏览0引用
0
0
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMSno. 5 (2024): 6322-6337
IEEE Transactions on Dependable and Secure Computingno. 99 (2024): 1-15
European Archives of Psychiatry and Clinical Neurosciencepp.1-11, (2024)
ICLR 2024 (2024)
引用0浏览0引用
0
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn