I am broadly interested in theory and application of machine learning. I have also done researches in non-convex optimization and its application in signal and image processing. Specifically, my research topics are

  • Mathematical theory for neural network models

  • Model reduction with machine learning methods

  • Non-convex optimization

Besides, I am also interested in understanding adversarial samples and improving adversarial robustness for neural network models.