Work Experience

• Research Software Engineer, Google, Mountain View, 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 (数理基科班), 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, Algorithm Design, etc.),
Differential Privacy, Computational Social Choice, and Quantum Computation

Selected Publications

• Smoothed Differential Privacy. TMLR
• Accelerating Voting by Quantum Computation. UAI-23
• Certifiably Robust Interpretation via Rényi Differential Privacy. AIJ
• The Semi-Random Likelihood of Doctrinal Paradoxes. AAAI-22
• How Private Are Commonly-Used Voting Rules?. UAI-20
• Near-Neighbor Methods in Random Preference Completion. AAAI-19
• Learning Plackett-Luce Mixture from Partial Preferences. AAAI-19
• Differential Privacy for Eye-Tracking Data. ETRA-19

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

Services and Awards

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