Machine Learning and Optimization Lab

Machine Learning and Optimization Lab (MLO) at City University of Hong Kong primarily performs research in understanding and improving the reliability of modern machine learning systems. Our research interests include the following areas:
  • Adversarial robustness of deep neural networks.

  • Privacy-preserving machine learning systems.

  • Efficient learning algorithms.

  • Optimization and generalization properties of machine learning models.
If you are interested in fundamental machine learning theory and algorithms, please check the page of open positions for potential opportunities.


Faculty and PI

Ph.D. Students

Research Assistant


Including project advisees who worked with the PI for more than 6 months.