Rongzhe Wei

Rongzhe Wei

Fourth-year Ph.D. Candidate in Machine Learning

Welcome to Rongzhe Wei (魏容哲)’s Personal Website

I’m a fourth-year PhD student in machine learning at Georgia Institute of Technology, advised by Prof. Pan Li. My current research interests include Machine Learning Trustworthy (Privacy), Graph Learning Algorithms, and Large Language Model on Relational Data.

Prior to that, I received my bachelor’s degree in Honors Math from Xi’an Jiaotong University.

I am actively seeking research internship opportunities for summer 2025 and would be grateful for any relevant information or recommendations.

Selected Publications

  • Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, and Eli Chien
    Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning
    arXiv preprint (arXiv:2412.08559)
    [PDF]

  • Rongzhe Wei, Eli Chien, Pan Li
    Differentially Private Graph Diffusion with Applications in Personalized PageRanks
    In Advances in Neural Information Processing Systems (NeurIPS’24)
    [PDF]

  • Rongzhe Wei, Eleonora Kreačić, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K Potluru, Pan Li
    On the Inherent Privacy Properties of Discrete Denoising Diffusion Models
    In Transactions on Machine Learning Research (TMLR’24) , Selected to ICLR’25 Poster [PDF]

  • Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li
    Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective
    In Advances in Neural Information Processing Systems (NeurIPS’22)
    [PDF]

Education

  • Georgia Institute of Technology (GaTech) (Present)
    Ph.D. in Machine Learning (ECE Department)
    Supervisor: Prof. Pan Li

  • Xi’an Jiaotong University (XJTU) (2017–2021)
    B.S. in Mathematics and Applied Mathematics (National Honors Program - Qian Xuesen College)
    GPA: 3.87/4.00

  • Georgia Institute of Technology (GaTech) (2020 Spring)
    Visiting Honors Student Program (School of Mathematics)

  • University of Alberta (2017 Summer)
    International Undergraduate Summer Enrichment Program in Mathematics

Professional Services

  • Conference Reviewer: NeurIPS’22-24, ICML’24-25, ICLR’25, AISTATS’23-24, AAAI’24, LoG’22-24
  • Journal Reviewer: Computers and Mathematics with Applications, TMLR
  • Graduate Teaching Assistant:
    • ECE 6720 Convex Optimization (Graduate Level)
    • ECE 3077 Introduction to Probability and Statistics for ECEs
    • ECE 8003 Conversational AI (Graduate Level)

Industrial Experiences

  • JP Morgan Chase & Co. — Manhattan, NYC, NY
    AI Research Intern
    June 2023 – August 2023
    • Project: A General Framework for Graph Data Generation Control via Margin Relaxed Schrodinger Bridges
    • Mentors: Eleonora Kreačić and Vamsi K Potluru

Selected Honors & Scholarship

  • Travel Award: NeurIPS 2022
  • Student Award: 2019 IEEE International Conference on BigData
  • The First Prize of “Zhufeng” Scholarship (Ministry of Education, “Pilot Scheme of Top-notch Talent Cultivation in Basic Disciplines”)
  • Outstanding Student Award: Xi’an Jiaotong University
  • First-class Scholarship: Xi’an Jiaotong University

Technical Skills

  • Languages: Chinese (native), English
  • Programming Languages: Python, C#, Matlab, C, SQL, HTML
  • Piano: Band 9 out of 9 (Central Conservatory of Music) achieved at the age of 12, and won the 5th China Outstanding Talents Art Festival National Competition (Gold Award)