Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2 
publications
Taxi or Hitchhiking: Predicting Passenger’s Preferred Service on Ride Sharing Platforms
Published in ACM SIGIR 2018, 2018
Lingyu Zhang, Wei Ai, Chuan Yuan, Yuhui Zhang, Jieping Ye
ACM SIGIR 2018
Enabling Rack-scale Confidential Computing using Heterogeneous Trusted Execution Environment
Published in IEEE S&P 2020, 2020
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
ShuffleFL: Gradient-preserving Federated Learning using Trusted Execution Environment
Published in ACM CF 2021, 2021
Yuhui Zhang, Zhiwei Wang, Jiangfeng Cao, Rui Hou, Dan Meng
ACM CF 2021
SpecFL: An Efficient Speculative Federated Learning System for Tree-based Model Training
Published in IEEE HPCA 2024, 2024
Yuhui Zhang, Lutan Zhao, Cheng Che, XiaoFeng Wang, Dan Meng, Rui Hou
IEEE HPCA 2024
ERW-Radar: An Adaptive Detection System against Evasive Ransomware by Contextual Behavior Detection and Fine-grained Content Analysis
Published in NDSS 2025, 2025
Lingbo Zhao, Yuhui Zhang, Zhilu Wang, Fengkai Yuan, Rui Hou
NDSS 2025
Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity
Published in IEEE Symposium on Security and Privacy (S&P) 2025, 2025
Guang Yan, Yuhui Zhang*, Zimu Guo, Lutan Zhao, Xiaojun Chen, Chen Wang, Wenhao Wang, Dan Meng, Rui Hou
S&P 2025
An Efficient Speculative Federated Tree Learning System With a Lightweight NN-Based Predictor
Published in IEEE TPDS 2025, 2025
Yuhui Zhang, Hong Liao, Lutan Zhao, Yuncong Shao, Zhihong Tian, XiaoFeng Wang, Dan Meng, Rui Hou
IEEE TPDS 2025
Exploring the Ransomware Ecosystem and the Active Defense Concept: Review of Attacks and Defense
Published in Journal of Information Security and Applications, Vol. 94, 2025
Lingbo Zhao, Zhilu Wang, Shuquan Wang, Yuhui Zhang*, Rui Hou, Dan Meng
Journal of Information Security and Applications, 2025
FuzzyHawk: Unveiling Ransomware Behavior Patterns via Graph-Based Fuzzy Matching
Published in Information Security and Cryptology (Inscrypt 2025), Lecture Notes in Computer Science, 2026
Lingbo Zhao, Yuhui Zhang*, Rui Hou
Inscrypt 2025
CryptPEFT: Efficient and Private Neural Network Inference via Parameter-Efficient Fine-Tuning
Published in NDSS 2026, 2026
Saisai Xia, Wenhao Wang, Zihao Wang, Yuhui Zhang, Yier Jin, Dan Meng, Rui Hou
NDSS 2026
Unveiling Evasive Ransomware and Breaking Through the Predicament: A Comprehensive Review of Evasion Techniques and Defense Mechanisms
Published in Cybersecurity 2026, 2026
Lingbo Zhao, Shuquan Wang, Yuhui Zhang*, Rui Hou
Cybersecurity 2026
SwiftFL: Enabling Speculative Training for On-Device Federated Deep Learning
Published in EuroSys 2026, 2026
Yuhui Zhang, Guang Yan, Xin Zhang, Zimu Guo, Lutan Zhao, Jiangfeng Cao, Dan Meng, Rui Hou
EuroSys 2026
Accelerating Federated Learning through Dropout of Renewable Neuron Parameters
Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026), 2026
Hong Liao, Yuhui Zhang*, Lutan Zhao, Rui Hou
ICASSP 2026
Communication-Efficient Federated Learning with Pre-Executed Gradient Descent
Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026), 2026
Cheng Che, Lutan Zhao, Yuhui Zhang*, Rui Hou
ICASSP 2026
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.