Publications

You can also find my articles on my Google Scholar profile.
  • Communication-Efficient Federated Learning with Pre-Executed Gradient Descent Paper
    Cheng Che, Lutan Zhao, Yuhui Zhang*, Rui Hou. ICASSP 2026
  • Accelerating Federated Learning through Dropout of Renewable Neuron Parameters Paper
    Hong Liao, Yuhui Zhang*, Lutan Zhao, Rui Hou. ICASSP 2026
  • SwiftFL: Enabling Speculative Training for On-Device Federated Deep Learning Paper
    Yuhui Zhang, Guang Yan, Xin Zhang, Zimu Guo, Lutan Zhao, Jiangfeng Cao, Dan Meng, Rui Hou. EuroSys 2026
  • Unveiling Evasive Ransomware and Breaking Through the Predicament: A Comprehensive Review of Evasion Techniques and Defense Mechanisms Paper
    Lingbo Zhao, Shuquan Wang, Yuhui Zhang*, Rui Hou. Cybersecurity 2026
  • CryptPEFT: Efficient and Private Neural Network Inference via Parameter-Efficient Fine-Tuning Paper
    Saisai Xia, Wenhao Wang, Zihao Wang, Yuhui Zhang, Yier Jin, Dan Meng, Rui Hou. NDSS 2026
  • FuzzyHawk: Unveiling Ransomware Behavior Patterns via Graph-Based Fuzzy Matching Paper
    Lingbo Zhao, Yuhui Zhang*, Rui Hou. Inscrypt 2025
  • Exploring the Ransomware Ecosystem and the Active Defense Concept: Review of Attacks and Defense Paper
    Lingbo Zhao, Zhilu Wang, Shuquan Wang, Yuhui Zhang*, Rui Hou, Dan Meng. Journal of Information Security and Applications, 2025
  • An Efficient Speculative Federated Tree Learning System With a Lightweight NN-Based Predictor Paper
    Yuhui Zhang, Hong Liao, Lutan Zhao, Yuncong Shao, Zhihong Tian, XiaoFeng Wang, Dan Meng, Rui Hou. IEEE TPDS 2025
  • Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity Paper
    Guang Yan, Yuhui Zhang*, Zimu Guo, Lutan Zhao, Xiaojun Chen, Chen Wang, Wenhao Wang, Dan Meng, Rui Hou. S&P 2025
  • ERW-Radar: An Adaptive Detection System against Evasive Ransomware by Contextual Behavior Detection and Fine-grained Content Analysis Paper
    Lingbo Zhao, Yuhui Zhang, Zhilu Wang, Fengkai Yuan, Rui Hou. NDSS 2025
  • SpecFL: An Efficient Speculative Federated Learning System for Tree-based Model Training Paper
    Yuhui Zhang, Lutan Zhao, Cheng Che, XiaoFeng Wang, Dan Meng, Rui Hou. IEEE HPCA 2024
  • ShuffleFL: Gradient-preserving Federated Learning using Trusted Execution Environment Paper
    Yuhui Zhang, Zhiwei Wang, Jiangfeng Cao, Rui Hou, Dan Meng. ACM CF 2021
  • Enabling Rack-scale Confidential Computing using Heterogeneous Trusted Execution Environment Paper
    Jianping Zhu, Rui Hou, XiaoFeng Wang, Wenhao Wang, Jiangfeng Cao, Boyan Zhao, Zhongpu Wang, Yuhui Zhang, Jiameng Ying, Lixin Zhang, Dan Meng. IEEE S&P 2020
  • Taxi or Hitchhiking: Predicting Passenger's Preferred Service on Ride Sharing Platforms Paper
    Lingyu Zhang, Wei Ai, Chuan Yuan, Yuhui Zhang, Jieping Ye. ACM SIGIR 2018