I’m currently a postdoc researcher in the Laboratory for Information and Inference Systems (LIONS), École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, working with Prof. Volkan Cevher. Before that, I spent two years in Department of Electrical Engineering (ESAT-STADIUS), KU Leuven, Belgium, as a postdoc researcher from 2019, hosted by Prof. Johan A.K. Suykens. I recieved the Ph.D degree from Institute of Image Processing Pattern Recognition, Shanghai Jiao Tong University in June 2019, supervised by Prof. Jie Yang, and the B.E. degree in Automation from Harbin Institute of Technology in 2014.
I’m generally interested in statistical machine learning, centered around kernel methods, and for the moment focus my attention on 1) theoretically understanding generalization properties of machine learning based algorithms in an approximation theory view, especially on over-parameterized models; 2) developing random features based algorithms for large scale learning and applications.
During the early stage of my Ph.D. period, I worked on visual tracking in computer vision.
Here is my CV.
The homepage is under construction and more information will be presented. Sometimes it could not be updated in time.
2021-10 One paper was accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence.
2021-07 One paper was accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence.
2021-06 One paper was accepted by Journal of Machine Learning Research.
2021-02 One paper was accepted by Machine Learning.
2021-01 Two papers were accepted by AISTATS-2021.
2020-10 One paper was accepted by Journal of Machine Learning Research.