Jingwei Zhang

PhD Student


School of Computer Science and Engineering
The Hong Kong University of Science and Technology, Hong Kong
Email: jzhangey@cse.ust.hk

General Information

I'm currently a PhD Student at The Hong Kong University of Science and Technology advised by Prof. Tong Zhang. I'm now working on machine learning theory.

Before joining HKUST, I received my MPhil degree from University of Sydney in 2019 and Bachelor's Degree from USTC in 2017. During the MPhil study, I was advised by Prof. Dacheng Tao on machine learning. I also worked as an intern of Prof. Zhaoran Wang's Group at the IEMS, the Northwester University before.

Research Interests

Machine Learning Theory and Algorithms.


  • Jingwei Zhang, Tongliang Liu and Dacheng Tao. On the Rates of Convergence from Surrogate Risk Minimizers to the Bayes Optimal Classifier. IEEE Transactions on Neural Networks and Learning Systems, 2021.
  • Jingwei Zhang, Zhuoran Yang, Zhengyuan Zhou and Zhaoran Wang. Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems. The 3rd Annual Learning for Dynamics & Control Conference, 2021.
  • Zhuozhuo Tu, Jingwei Zhang and Dacheng Tao. Theoretical Analysis of Adversarial Learning: A Minimax Approach. Advances in Neural Information Processing Systems (NeuRIPS), 2019.

  • Others

  • Github

  • Last updated on 29 Dec 2020