Work Experience

• Research Software Engineer, Google, Sunnyvale, CA              07/2023 - present
• Research Intern, Google, Mountain View, CA                           Summer 2022
• Visiting Scholar, MIT-IBM Waston AI Lab, Cambridge, MA      Fall 2019 and Summer 2020

Education

• 2023 Ph.D. in Computer Science, Rensselaer Polytechnic Institute, Troy, NY, USA
• 2018 M.Eng. in Material Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
• 2014 B.S. in Mathematics and Physics, Tsinghua University, Beijing, China
• 2014 Minor Course Degree in Computer Technology, Tsinghua University, Beijing, China
• 2010 High School, RDFZ (人大附中), Beijing, China

Research Interests

Machine Learning (recommendation systems, learning to rank, robustness, etc.),
Differential Privacy, Computational Social Choice, and Quantum Computation

Selected Publications

• Ao Liu et al. Accelerating Voting by Quantum Computation. UAI-23
• Ao Liu et al. Certifiably Robust Interpretation via Rényi Differential Privacy. AIJ
• Ao Liu and Lirong Xia. The Semi-Random Likelihood of Doctrinal Paradoxes. AAAI-22
• Ao Liu et al. Near-Neighbor Methods in Random Preference Completion. AAAI-19
• Ao Liu et al. Learning Plackett-Luce Mixture from Partial Preferences. AAAI-19
• Ao Liu et al. Differential Privacy for Eye-Tracking Data. ETRA-19

>> View All Publications (20 Accepted Papers & 2 Patents)

Services and Awards

• Journal Reviewer for Information Sciences, TMLR, ACM ToIS, and Sankhya B
• Conference Reviewer for NeurIPS (20-23), AAAI (21&22), ICML (22&23), ICLR (23&24), and IJCAI-22
• Rensselaer-IBM AI Horizon Scholarship (3-year research funding)
• Presidential Graduate Research Fellowship (1-year fellowship)