Huang Fang


Baidu Research


I am currently a research scientist in the Cognative Computing Lab, Baidu Research, led by Dr. Ping Li. I received my Ph.D. degree in Computer Science from the University of British Columbia, where I was fortunate to be advised by Prof. Michael Friedlander. I also worked with Prof. Cho-Jui Hsieh from UCLA when I was a master student at UCDavis during 2015-2017. You can contact me by fangazq877@gmail.com or fanghuang@baidu.com.


  • Optimization
  • Learning theory
  • Data mining


  • Ph.D. in Computer Science, 2021

    University of British Columbia

  • M.S. in Statistics and Computer Science, 2017

    University of California, Davis

  • B.Sc. in Financial Mathematics, 2015

    Central University of Finance and Economics (China)


(2021). Safe-screening rules for atomic-norm regularization. (* equal contribution). Submitted.


(2020). Online mirror descent and dual averaging: keeping pace in the dynamic case. In ICML 2020. Extended version accepted by JMLR.

PDF Journal PDF