About me

Personal Introduction

I am a Ph.D. candidate at the School of Computing, National University of Singapore, advised by Prof. Xiaokui Xiao and on track to graduate in November 2025. My research focuses on privacy-preserving machine learning algorithms and synthetic data generation. In 2025, I joined the Department of Computer Science at the Mohamed bin Zayed University of Artificial Intelligence as a visiting student under the supervision of Prof. Ting Yu. Previously, I obtained my B.Eng. from the School of Computer Science at Shanghai Jiao Tong University, where I worked in Prof. Fan Wu’s lab.

Publications

• GCON: Differentially Private Graph Convolutional Network via Objective Perturbation
  Jianxin Wei, Yizheng Zhu, Xiaokui Xiao, Ergute Bao, Yin Yang, Kuntai Cai, Beng Chin Ooi IEEE International Conference on Data Engineering (ICDE), 2025
• DPIS: an Enhanced Mechanism for Differentially Private SGD with Importance Sampling
  Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang ACM Conference on Computer and Communications Security (CCS), 2022
• Data Synthesis via Differentially Private Markov Random Fields
  Kuntai Cai, Xiaoyu Lei, Jianxin Wei, Xiaokui Xiao International Conference on Very Large Data Bases (VLDB), 2021

Professional Service

• Conference (Sub-)Reviewer: VLDB 2026, ICDE 2026, CCS 2025, VLDB 2025, ICLR 2024, ICLR 2022, ICML 2022.

Teaching Service

• NUS CS2102 Database Systems
• NUS CS5339 Theory and Algorithms for Machine Learning
• NUS CS5421/CS4221 Database Applications Design and Tuning

Education

• School of Computing, National University of Singapore
  Ph.D., advised by Xiaokui Xiao 2020 – 2025
• Computer Science Department, Mohamed bin Zayed University of Artificial Intelligence
  Visiting Student, advised by Ting Yu 2025
• School of Computer Science, Shanghai Jiao Tong University
  B.Eng., advised by Fan Wu 2016 – 2020

Awards

• Research Achievement Award, National University of Singapore 2023, 2025
• First Place, NIST Differential Privacy Temporal Map Challenge 2021
• Second Place, NIST DeID2: A Better Meter Stick for Differential Privacy 2021
• Second Prize, National College Student Information Security Contest, China 2019
• Finalist (0.4%), Mathematical Contest in Modeling 2018
• Excellent Student Scholarship (10%), Shanghai Jiao Tong University 2017, 2018, 2019
• Siyuan First Prize Scholarship (3%), Shanghai Jiao Tong University 2017