Zhe Qu

Zhe Qu

Associate Professor at Central South University

Welcome to Zhe Qu’s homepage!

About Me

I am a tenure-track associate professor at the School of Computer Science and Engineering, Central South University. I received a B.S. from the Department of Automation at Xiamen University in 2015, an M.S. from the Department of Electrical and Computer Engineering at University of Delaware in 2017, and Ph.D. from the Department of Electrical Engineering at University of South Florida under the supervision of Prof. Zhuo Lu.

Opening: I am seeking self-motivated Master students to join my group. Please send me a short email with your C.V. and anything you believe relevant!

Research Interests:

  • Networking/Web Security
  • Federated/Distributed Learning
  • Machine Learning Theory

Contact

Email: zhe_qu [at] csu.edu.cn

I would kindly suggest you read the Advice for Prospective Research Students by Prof. David Evans before writing the email.

News

  • [05/2024] Our paper “Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations” has been accepted by ICML 2024. Congrats Xiaokang!
  • [03/2024] Two papers “FedMMR: Multi-Modal Federated Learning via Missing Modality Reconstruction” and “FedGCA: Global Consistent Augmentation based Single-Source Federated Domain Generalization” have been accepted by ICME 2024. Congrats Shu and Yuan!
  • [01/2024] Our paper “Meta Parallel Graph Neural Network for IoT Intrusion Detection” has been accepted by WWW 2024.
  • [12/2023] Two papers “Contrastive Mutual Information Maximization for Multi-Agent Perception” and “Faster Stochastic Methods for Compositional MiniMax Optimization” have been accepted by AAAI 2024. Congrats Xiaokang!
  • [11/2023] Our paper “Bandwidth Allocation for Federated Learning under Wireless Providers with Cost Constraints” has been accepted by IEEE TMC.
  • [11/2023] Our paper “Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models” has been accepted by NDSS 2024.
  • [10/2023] Our paper “Personalized federated adaptive regularization for heterogeneous medical image classification: COVID-19 CT results” has been accepted by IEEE BIBM 2023.
  • [08/2023] Our paper “Guessing on Dominant Paths: Understanding the Limitation of Wireless Authentication Using Channel State Information” has been accepted by IEEE S&P 2024.
  • [04/2023] Our paper “Data-Driven Next-Generation Wireless Networking: Embracing AI for Performance and Security” has been accepted by IEEE ICCCN 2023.
  • [03/2023] Our paper “FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation” has been accepted by IEEE TCYB.
  • [02/2023] I have enrolled in the School of Computer Science and Engineering, Central South University to be a Tenure-Track Associate Professor.