About me

I am an assistant professor in the Computer Science Department at University of Houston. Prior to that, I was a Postdoctoral Scholar in AI-EDGE Institute at The Ohio State University, advised by Prof. Ness Shroff, Prof. Yingbin Liang, and Prof. Anish Arora. I received my B.Eng. degree in Electrical Engineering from Zhejiang University, Hangzhou, China, in 2013, my M.S. degree in Telecommunications from The Hong Kong University of Science and Technology, Hong Kong, in 2014, and my Ph.D. degree in Electrical Engineering from Arizona State University, in 2021, under the co-supervision of Prof. Junshan Zhang and Prof. Lei Ying.


Multiple openings for fully funded Ph.D. students are available: Students who are self-motivated, hard-working, and have research interests in Machine Learning, Optimization and Wireless Communication are very welcomed to apply. Please send me an email with your CV and transcripts if you are interested.
(Due to the large volume of inquiry emails, unfortunately I am not able to respond to every email. If you have sent me an email and not received a response, I hope you will understand.)


  • [2024.01] Our paper on adversarial training has been accepted by ICLR 2024. We propose a novel doubly-robust instance-reweighed adversarial training method based on bilevel optimization and distributionally robust optimization, which significantly boosts the robustness on the most vulnerable examples.

  • [2023.12] I have accepted the invitation to serve as a Program Committee member of ICDCS 2024.

  • [2023.11] One paper on online meta-learning has been accepted by CPAL 2024.

  • [2023.09] Our paper on online bilevel optimization has been accepted by NeurIPS 2023.

  • [2023.09] I have accepted the invitation to serve as a Program Committee member of SDM 2024.

  • [2023.08] Our paper “Scheduling Real-time Wireless Traffic: A Network-aided Offline Reinforcement Learning Approach” has been accepted by IEEE Internet of Things Journal.

  • [2023.04] Our paper “Theory on Forgetting and Generalization of Continual Learning” is accepted by ICML 2023. Congratulations to Peizhong and other authors.

  • [2023.04] Our paper “Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap” is accepted by ICML 2023 as an oral presentation. Congratulations to Hang and other authors.