Ding-Xuan Zhou
Scholar

Ding-Xuan Zhou

Google Scholar ID: k-V5V0gAAAAJ
University of Sydney
theory of deep learningstatistical learningwaveletsapproximation theory
Citations & Impact
All-time
Citations
6,502
 
H-index
41
 
i10-index
103
 
Publications
20
 
Co-authors
23
list available
Resume (English only)
Academic Achievements
  • Rated as one of the World's Top 2% Scientists by Stanford University in 2021; Highly-cited Researcher by Thomson Reuters in 2014, 2015, and Clarivate Analytics in 2016, 2017; National Science Fund for Distinguished Young Scholars, NSF China, 2005; Humboldt Research Fellowship, Alexander von Humboldt Foundation, Germany, 1993. Published multiple papers in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems.
Research Experience
  • Currently serves as Chair Professor and Associate Dean at the School of Data Science, Chair Professor at the Department of Mathematics, and Director of the Liu Bie Ju Centre for Mathematical Sciences at City University of Hong Kong.
Education
  • B.Sc. (1988) and Ph.D. (1991) in Applied Mathematics from Zhejiang University.
Background
  • Research interests include Deep Learning Theory, Statistical Machine Learning, Deep Neural Networks, Approximation Theory, Wavelet Analysis, and Applications of Machine Learning.
Miscellany
  • Looking for highly motivated graduate students and postdocs interested in Learning Theory and Machine Learning with applications. Candidates with strong mathematical or computing skills are welcome to apply.