I am a tenure-track assistant professor at the Department of Computer Science, Stevens Institute of Technology. From 2016 to 2018, I was a postdoc scholar at Department of Statistics, UC Berkeley. I worked with Michael Mahoney. During my doctoral study, I was supported by "Microsoft Research Asia Fellowship" and "Baidu Scholarship", which are (or at least were) the highest fellowships/scholarships in China.
Research Interest
Machine learning
Computational methods such as numerical optimization, matrix computation, bootstrap, etc.
Distributed learning, federated learning, and general large-scale machine learning.
Learning from complex data.
Randomized numerical linear algebra
Matrix sketching and randomized matrix computation.
Applications to statistical learning theory.
Applications to scalable machine learning algorithms.
Distributed computing
The design, analysis, and implementation of distributed algorithms (for machine learning and optimization).