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.
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. NeurIPS, 2022.
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems. ICML, 2022.
Federated Adversarial Debiasing for Fair and Trasnferable Representations. KDD (Oral), 2021.

Professional Activities



  • ‘Split-Mix Federated Learning for Model Customization’ @ TrustML Young Scientist Seminars, July, 2022: [link] [video]
  • Federated Adversarial Debiasing for Fair and Transferable Representations, @ CSE Graduate Seminar, Michigan State University, October, 2021: [slides]

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: ICLR2023, NeurIPS2022, ICML2022, KDD2022, WSDM2022, AISTATS2022, AAAI2022, AAAI2021, IJCAI2019, NeuroComputing, TKDD
  • Volunteer: Volunteer in KDD2018, KDD2021