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.