Scholar
Yi Zeng
Google Scholar ID: slUNmHQAAAAJ
PhD Candidate, Virginia Tech
Citations & Impact
Citations
4,024
H-index
26
i10-index
36
Publications
20
Co-authors
27
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in conferences such as NeurIPS 2023, ICML 2023, Usenix Security 2023, and ACM CCS 2023; recipient of the Amazon Fellowship; recognized as an Outstanding Reviewer for CVPR 2022.
Research Experience
- Focused on security & privacy issues related to AI since 2018, closely working with Prof. Han Qiu, Prof. Tianwei Zhang, and Prof. Meikang Qiu; served as a Research Scientist Intern at Meta; worked as an AI Research Intern at Sony AI.
Education
- Ph.D. Candidate at Virginia Tech, advised by Prof. Ruoxi Jia; Master's in Machine Learning and Data Science from the Jacobs School of Engineering, UC San Diego, advised by Prof. Farinaz Koushanfar; Bachelor's degree from Xidian University, supervised by Prof. Huaxi Gu, with an undergraduate thesis titled 'Deep-Full-Range' that won the best degree paper award.
Background
- Research interests include AI safety and ethical considerations; committed to ensuring technology is a responsible and reliable ally to humanity.
Miscellany
- Personal interests not mentioned.
