I am currently a Ph.D. candidate in Electrical and Computer Engineering at the University of California, Riverside, under the guidance of M. Salman Asif. Originally from Wuhan, the "River City" of China, I completed my B.S. in Automation at Wuhan University of Technology.

My research focuses on trustworthy machine learning, where I strive to identify vulnerabilities and enhance the trustworthiness of machine learning models. My previous experience includes:

  • Exposing model vulnerabilities via efficient blackbox attacks
  • Detecting adversarial attacks using language models
  • Enhancing user privacy via de-identification while preserving utility
  • Improving physical modeling via end-to-end optimization
In the past, I was fortunate to have interned at UII America (Summer 2022 in Cambridge, MA), working with Benjamin Planche and Ziyan Wu; and at PARC (Summer 2021 in Palo Alto, CA) working with Shantanu Rane.

News:

  • [Dec 2023] Our paper Disguise for Face De-ID is accepted to AAAI 2024 @ Vancouver.
  • [May 2023] Acknowledged as CVPR 2023 Outstanding Reviewer.
  • [May 2023] Recognized as Outstanding Teaching Assistant by ECE Graduate Division for 2023.
  • [Apr. 2023] Received Dissertation Year Program Fellowship 2023/2024.
  • [Feb. 2023] One paper accepted to CVPR 2023 @ Vancouver.
  • [Feb. 2023] Received HEERF Dissertation Year Program Award 2022/2023.
  • [Oct. 2022] Received Scholar Award from NeurIPS 2022 @ New Orleans, Nov.27 - Dec.4.
  • [Jun. 2022] Presenting a paper at CVPR 2022 @ New Orleans.