Rate My Professor Yiming Ying

Professor Yiming Ying serves as Professor in Statistical Data Science in the School of Mathematics and Statistics at the University of Sydney, part of the Faculty of Science, a position he assumed in December 2023. He obtained his PhD in Mathematics from Zhejiang University in 2002 and undertook postdoctoral training in Machine Learning at City University of Hong Kong, University College London, and the University of Bristol. Previously, Ying was a tenured Professor in the Department of Mathematics and Statistics at the State University of New York at Albany, affiliated with the Department of Computer Science, and founding director of the UAlbany Machine Learning Group. Earlier, from 2010 to 2014, he was Lecturer (equivalent to Assistant Professor) in Computer Science at the University of Exeter, UK.

Ying's research focuses on statistics, applied mathematics, numerical and computational mathematics, adversarial machine learning, approximation theory, and asymptotic methods. He has led funded projects including ARC Discovery Project DP250101359 (2025-2028) on Advancing Fair Machine Learning with Theory and Algorithms, multiple NSF grants such as IIS-2110546 on Robust Deep Learning with Big Imbalanced Data (2021-2024), and others from Simons Foundation and EPSRC. Notable publications include "Learning with support vector machines" (2011), "Distance metric learning with eigenvalue optimization" (2012), "Support vector machine soft margin classifiers: error analysis" (2004), "A spectral regularization framework for multi-task structure learning" (2007), and "Learning rates of least-square regularized regression" (2006). His accolades comprise the University of Exeter Merit Award (2012), University at Albany Presidential Award for Excellence in Research and Creative Activities (2022), and SUNY Chancellor's Award for Excellence in Scholarship and Creative Activities (2023). Ying contributes to the field as a senior program committee member for NeurIPS, ICML, and AISTATS, reviewer for NSF, EPSRC, and RGC Hong Kong, and associate editor for Transactions on Machine Learning Research, Neurocomputing, Analysis and Applications, and Mathematical Foundation of Computing.