Zhe Qu

Zhe Qu

Associate Professor at Central South University

Publications

*Corresponding Author #My Supervised Student

In Submission

  1. Title: Perception-Aware Attack against Music Copyright Detection: Impacts and Defenses,
    Authors: Rui Duan, Zhe Qu, Shangqing Zhao, Leah Ding, Yao Liu, and Zhuo Lu.
  2. Title: Inter-Instance Similarity Modeling for Contrastive Learning,
    Authors: Chengchao Shen, Dawei Liu, Hao Tang, Zhe Qu, and Jianxin Wang.
  3. Title: Adapting Microservice Deployment at Network Edge via Distributed Graph Reinforcement Learning,
    Authors: Lixing Chen, Zhongqi Miao, Yang Bai, Pan Zhou, Zhe Qu, Jianhua Li, and Cailian Chen.

2025

  1. Title: Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph,
    Authors: Yutong Zhang, Lixing Chen, Shenghong Li, Nan Cao, Yang Shi, Jiaxin Ding, Zhe Qu, Pan Zhou and Yang Bai,
    Proc: SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), August 2025, (CCF A). PDF
  2. Title: A unified Personalized Federated Learning framework ensuring Domain Generalization,
    Authors: Yuan Liu#, Zhe Qu, Shu Wang#, Chengchao Shen, Yixiong Liang, and Jianxin Wang,
    Proc: Expert Systems with Applications, Vol: 263, pp. 125700, March 2025, (JCR Q1). PDF

2024

  1. Title: Aligning Multimodal Biomedical Images and Language via One Large Vision-Language Model,
    Authors: Haojie Zhang, Min Zeng, Jinfeng Ding, Yixiong Liang, Ruiqing Zheng, Zhe Qu, Min Li, and Shichao Kan,
    Proc: IEEE International Conference on Bioinformatics and Biomedicine (BIBM), December 2024, (CCF B). PDF
  2. Title: Global Contrastive Learning with High-Quality Data in Large Vision-Language Models for Pathological Question Answering,
    Authors: Hulin Kuang, Suoni Liu, Haojie Zhang, Zhe Qu, and Shichao Kan,
    Proc: IEEE International Conference on Bioinformatics and Biomedicine (BIBM), December 2024, (CCF B). PDF
  3. Title: MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction,
    Authors: Han Jiang, Junwen Duan, Zhe Qu, and Jianxin Wang,
    Proc: The Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov. 2024, (CCF B). PDF
  4. Title: Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly)-Convex One to $K$-Level Stochastic Optimizations,
    Authors: Xiaokang Pan#, Xingyu Li*, Jin Liu, Tao Sun, Kai Sun, Lixing Chen, and Zhe Qu*,
    Proc: International Conference on Machine Learning (ICML), July 2024, (CCF A). PDF
  5. Title: FedGCA: Global Consistent Augmentation based Single-Source Federated Domain Generalization,
    Authors: Yuan Liu#, Shu Wang#, Zhe Qu*, Xingyu Li, Shichao Kan, and Jianxin Wang,
    Proc: IEEE International Conference on Multimedia and Expo (ICME), July 2024, (CCF B). PDF
  6. Title: FedMMR: Multi-Modal Federated Learning via Missing Modality Reconstruction,
    Authors: Shu Wang#, Zhe Qu*, Yuan Liu#, Shichao Kan, Yixiong Liang, and Jianxin Wang,
    Proc: IEEE International Conference on Multimedia and Expo (ICME), July 2024, (CCF B). Best Paper Award! PDF
  7. Title: Bandwidth Allocation for Federated Learning under Wireless Providers with Cost Constraints,
    Authors: Jiahao Xue, Zhe Qu*, Jie Xu, Yao Liu, and Zhuo Lu,
    Proc: IEEE Transactions on Mobile Computing (TMC), Vol: 23, Issue: 6, pp. 7470-7482, June 2024, (CCF A). PDF
  8. Title: Guessing on Dominant Paths: Understanding the Limitation of Wireless Authentication Using Channel State Information,
    Authors: Zhe Qu, Rui Duan, Xiao Han, Shangqing Zhao, Yao Liu, and Zhuo Lu,
    Proc: IEEE Symposium on Security and Privacy (S&P), May 2024, (CCF A). PDF
  9. Title: Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale,
    Authors: Hua Ding, Lixing Chen, Shenghong Li, Yang Bai, Pan Zhou, and Zhe Qu,
    Proc: ACM the Web Conference (WWW), May 2024, (CCF A). PDF
  10. Title: On Adaptive Edge Microservice Placement: A Reinforcement Learning Approach Endowed with Graph Comprehension,
    Authors: Lixing Chen, Yang Bai, Pan Zhou, Youqi Li, Zhe Qu, and Jie Xu,
    Proc: IEEE Transactions on Mobile Computing (TMC), Apr. 2024, (CCF A). PDF
  11. Title: Segmenting Ischemic Penumbra and Infarct Core Simultaneously on Non-Contrast CT of Patients with Acute Ischemic Stroke Using A Novel Convolutional Neural Network,
    Authors: Hulin Kuang, Xianzhen Tan, Jie Wang, Zhe Qu, Yuxin Cai, Qiong Chen, Beom Joon Kim, and Wu Qiu,
    Proc: Biomedicines, Mar 2024. PDF
  12. Title: Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models,
    Authors: Rui Duan, Zhe Qu, Leah Ding, Yao Liu, and Zhuo Lu,
    Proc: Network and Distributed System Security Symposium (NDSS), Feb. 2024, (CCF A). PDF
  13. Title: What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception,
    Authors: Wanfang Su, Lixing Chen, Yang Bai, Xi Lin, Gaolei Li, Zhe Qu, and Pan Zhou,
    Proc: AAAI Conference on Artificial Intelligence (AAAI), Feb. 2024, (CCF A). PDF
  14. Title: Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization,
    Authors: Jin Liu, Xiaokang Pan#, Junwen Duan, Hongdong Li, Youqi Li, and Zhe Qu*,
    Proc: AAAI Conference on Artificial Intelligence (AAAI), Feb. 2024, (CCF A). PDF
  15. Title: FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation,
    Authors: Xingyu Li, Zhe Qu, Bo Tang, and Zhuo Lu,
    Proc: IEEE Transactions on Cybernetics (TCYB), Vol. 54, no. 1, pp. 401-414, Jan. 2024, (CCF B). PDF

2023 and Earlier

  1. Title: Personalized federated adaptive regularization for heterogeneous medical image classification: COVID-19 CT results,
    Authors: Yuan Liu#, Zhe Qu*, Shu Wang#, Tao Sheng, Xiaoqing Yu, and Jianxin Wang,
    Proc: IEEE International Conference on Bioinformatics and Biomedicine (BIBM), December 2023, (CCF B). PDF
  2. Title: On the Convergence of Multi-Server Federated Learning with Overlapping Area,
    Authors: Zhe Qu, Xingyu Li, Jie Xu, Bo Tang, Zhuo Lu, and Yao Liu,
    Proc: IEEE Transactions on Mobile Computing (TMC), Vol: 22, Issue: 11, 01, pp. 6647-6662, Nov 2023, (CCF A). PDF
  3. Title: Modeling Global Distribution for Federated Learning with Label Distribution Skew,
    Authors: Tao Sheng, Chengchao Shen, Yuan Liu#, Yeyu Ou, Zhe Qu, Yixiong Liang, and Jianxin Wang,
    Proc: Pattern Recognition (PR), vol. 143, pp. 109724, Nov 2023, (CCF B). PDF
  4. Title: Data-Driven Next-Generation Wireless Networking: Embracing AI for Performance and Security,
    Authors: Jiahao Xue, Zhe Qu, Shangqing Zhao, Yao Liu, and Zhuo Lu,
    Proc: IEEE Conference on Computer Communications and Networks (ICCCN), July 2023, (CCF C). PDF
  5. Title: How To Prevent the Poor Performance Clients for Personalized Federated Learning?
    Authors: Zhe Qu, Xingyu Li, Xiao Han, Rui Duan, Chengchao Shen, and Lixing Chen,
    Proc: In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023, (CCF A). PDF
  6. Title: LoMar: A Local Defense Against Poisoning Attack on Federated Learning,
    Authors: Xingyu Li, Zhe Qu, Shangqing Zhao, Bo Tang, Zhuo Lu, and Yao Liu, (Co-Primary Authors)
    Proc: IEEE Transactions on Dependable and Secure Computing (TDSC), vol. 20, no. 1, pp. 437-450, Jan 2023, (CCF A). PDF
  7. Title: Context-Aware Online Client Selection for Hierarchical Federated Learning,
    Authors: Zhe Qu, Rui Duan, Lixing Chen, Jie Xu, Zhuo Lu, and Yao Liu,
    Proc: IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol: 33, Issue: 12, 01, pp. 4353-4367, Dec 2022, (CCF A). PDF
  8. Title: Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients,
    Authors: Xingyu Li, Zhe Qu, Bo Tang, and Zhuo Lu,
    Proc: IEEE International Conference on Machine Learning and Applications (ICMLA), Dec 2022. PDF
  9. Title: Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception,
    Authors: Rui Duan, Zhe Qu, Shangqing Zhao, Leah Ding, Yao Liu, and Zhuo Lu,
    Proc: ACM Conference on Computer and Communications Security (CCS), Nov 2022, (CCF A). PDF
  10. Title: Generalized Federated Learning via Sharpness Aware Minimization,
    Authors: Zhe Qu, Xingyu Li, Rui Duan, Yao Liu, Bo Tang, and Zhuo Lu,
    Proc: International Conference on Machine Learning (ICML), July 2022, (CCF A). PDF
  11. Title: How to Test the Randomness From the Wireless Channel for Security?
    Authors: Zhe Qu, Shangqing Zhao, Jie Xu, Zhuo Lu, and Yao Liu,
    Proc: IEEE Transactions on Information Forensics and Security (TIFS), vol. 16, pp. 3753-3766, June 2021, (CCF A). PDF
  12. Title: ProTO: Proactive Topology Obfuscation Against Adversarial Network Topology Inference,
    Authors: Tao Hou, Zhe Qu, Tao Wang, Zhuo Lu, and Yao Liu,
    Proc: IEEE Conference on Computer Communications (INFOCOM), July 2020, (CCF A). PDF
  13. Title: Comb Decoding towards Collision-Free WiFi,
    Authors: Shangqing Zhao, Zhe Qu, Zhengping Luo, Zhuo Lu, and Yao Liu,
    Proc: USENIX Symposium on Networked Systems Design and Implementation (NSDI), Feb 2020, (CCF A). PDF
  14. Title: Security of HPC systems: From a log-analyzing perspective,
    Authors: Zhengping Luo, Zhe Qu, Tung Nguyen, Hui Zeng, and Zhuo Lu,
    Proc: EAI Endorsed Transactions on Security and Safety, vol. 6, no. 21, e5, 2019. PDF

Book Chapter and Poster

  1. Title: Federated Learning for IoT Applications, Attacks and Defense Methods,
    Authors: Zhe Qu, Rui Duan, Yao Liu, and Zhuo Lu,
    Proc: AI Embedded Assurance for Cyber Systems, Springer, 2023. PDF
  2. Title: Vulnerability Analysis, Attack Strategies and Countermeasures Design in Network Tomography,
    Authors: Shangqing Zhao, Zhe Qu, and Zhuo Lu,
    Proc: Annual Computer Security Applications Conference (ACSAC), Poster Session, 2019. PDF
  3. Title: Spectrum Tomography Attacks: Inferring Spectrum Allocation Mechanisms in Multicarrier Systems,
    Authors: Shangqing Zhao, Zhe Qu, Zhuo Lu, and Tao Wang,
    Proc: IEEE Symposium on Dynamic Spectrum Access Networks (DySPAN), Poster Session, 2019. PDF