Rate My Professor Yiming Ying

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.