Published 'Learn To be Efficient: Build Structured Sparsity in Large Language Models' at NeurIPS 2024; Involved in multiple research projects related to IoT security and financial website security; Published several papers at ACL 2024, WACV 2024, ICML 2023, etc.
Research Experience
Taught many software systems and security courses, including operating systems, database systems, and computer and network security. Currently developing a new course on trustworthy machine learning with Ph.D. students Ryan Feng, Elisa Tsai, and Haizhong Zheng.
Background
Research Interests: Security and privacy of emerging systems including cyber-physical systems, efficient and secure machine learning. Professional Field: Electrical Engineering and Computer Science.
Miscellany
Offers open office hours for CSE PhD students at UM to discuss career development, research topics, or challenges during their PhD journey.