Work Experience

• 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

Research Interests

Machine Learning (Recommendation Systems, Learning to Rank, Personalization, LLM, etc.),
Differential Privacy, Computational Social Choice, and Theoretical Computer Science

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 (20,21,22,23&24), ICML (22,23&24), ICLR (23,24&25), AAAI (21&22), IJCAI-22, and AISTATS-25
• Rensselaer-IBM AI Horizon Scholarship (3-year research funding)
• Presidential Graduate Research Fellowship (1-year fellowship)