Published papers in USENIX Security Symposium, NeurIPS, GECCO, IEEE TIP. Two papers and one tutorial accepted by CVPR 2025.
Research Experience
Conducting research at HAL Lab, MSU, developing a security solution named AutoFHE which was presented at USENIX Security Symposium 2024.
Education
Obtained Master’s degree from Fudan University in 2019, working on image processing and target detection; currently pursuing a PhD at Michigan State University under the guidance of Prof. Vishnu Boddeti.
Background
PhD student in CSE at MSU, supervised by Prof. Vishnu Boddeti. Research focuses on Private AI, specifically an end-to-end secure inference system under fully homomorphic encryption (FHE).
Miscellany
Served as a reviewer or PC member for multiple international conferences such as ICCV 2025, CVPR 2025, and AutoML 2025. Starting a new position as an Applied Scientist Intern at Amazon AWS AI.