Scholar
Ruixuan Liu
Google Scholar ID: sXWB1UQAAAAJ
Emory University
Citations & Impact
Citations
712
H-index
11
i10-index
12
Publications
20
Co-authors
10
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published multiple conference papers on privacy-preserving technologies and machine learning, such as 'Towards hyperparameter-free optimization with differential privacy' (ICLR), 'PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps' (CCS), etc.
Research Experience
- During Ph.D., research intern at Amazon AWS AI lab, hosted by Zhiqi Bu and Zha Sheng in 2023; research intern at Microsoft Research Asia, hosted by Fangzhao Wu and Xing Xie in 2021-2022; currently a postdoctoral fellow in Assured Information Management and Sharing (AIMS) at the Computer Science Department of Emory University.
Education
- Received a Bachelor’s degree from China University of Petroleum in June 2018; Ph.D. student at the School of Information, Renmin University of China from September 2018 to June 2023, supervised by Prof. Hong Chen; Postdoctoral fellow at Emory University, Computer Science Department since August 2023, supervised by Prof. Li Xiong.
Background
- Research interests include advancing privacy enhancement techniques (PETs) to create machine learning systems that are not only theoretically privacy-preserving but also practically viable with better utility, efficiency, and inclusiveness. Broadly interested in trustworthy AI.
