Junyuan Hong

Junyuan Hong

CSE PhD Student

Michigan State University


I am currently a final-year Ph.D. student of Computer Science and Engineering at ILLIDAN Lab@MSU, advised by Dr. Jiayu Zhou. Previously, I obtained my B.S. in Physics and M.S. in Computer Science at USTC. My current research interests include Federated Learning and Data Privacy. Check my curricula vitae.

  • Federated Learning
  • Privacy
  • Manifold Learning
  • PhD in Computer Science&Engineering, Present

    Michigan State University

  • MSc in Computer Science, 2018

    University of Science and Technology of China

  • BSc in Physics, minor in CS., 2015

    University of Science and Technology of China


Quickly discover relevant content by filtering publications.
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems. ICML, 2022.
Federated Adversarial Debiasing for Fair and Trasnferable Representations. KDD, 2021.

Professional Activities



  • ‘Split-Mix Federated Learning for Model Customization’ @ TrustML Young Scientist Seminars, July 9, 2022: [link] [video]

Teaching Assistant

  • CSE 404: Introduction to Machine Learning, 2020 Fall


  • Carl V. Page Memorial Graduate Fellowship, MSU, 2021
  • Student Travel Award, KDD, 2018
  • Outstanding Freshman Scholarship, USTC, 2015


  • External Reviewer: NeurIPS2022, ICML2022, KDD2022, WSDM2022, AISTATS2022, AAAI2022, AAAI2021, IJCAI2019, NeuroComputing, TKDD
  • Volunteer: Volunteer in KDD2018, KDD2021