Rui Zhang
Postdoc Research Fellow
The University of Hong Kong
Office: P207, Graduate House, HKU
About
I am a Postdoc Research Fellow at the HKU Musketeers Foundation Institute of Data Science (IDS), The University of Hong Kong (HKU), working with Prof. Ho Chen. Before that, I obtained my Ph.D. in Computer Science from The Hong Kong Polytechnic University (PolyU). My research interests include AI security & privacy, trustworthy machine learning, distributed learning, and LLM-based applications.
Please feel free to reach out if you have any questions or would like to collaborate on research projects!
News
- Jun 2025: Our paper "Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning" has been accepted to ICCV 2025! 🎉
- May 2025: I have successfully received my Ph.D. from The Hong Kong Polytechnic University. 🎓
- Mar 2025: I have successfully completed my Ph.D. oral defense! Thanks to my supervisors, committee members and everyone who supported me throughout this journey. 🎉🙏
- Dec 2024: I have received the 3rd prize in the Four Minute Thesis (4MT) Competition at IEEE GLOBECOM 2024. 🎉
Publications
The full list of publications is on Google Scholar.
Building Gradient Bridges: Label Leakage from Restricted Gradient Sharing in Federated Learning
Rui Zhang, Ka-Ho Chow, Ping Li
arXiv preprint, 2025
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning
Junjie Shan, Ziqi Zhao, Jialin Lu, Rui Zhang, Siu Ming Yiu, Ka-Ho Chow
International Conference on Computer Vision (ICCV), 2025
GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning
Rui Zhang, Song Guo, Ping Li
The Web Conference (WWW), 2024
Posterior Probability-based Label Recovery Attack in Federated Learning
Rui Zhang, Song Guo, Ping Li
ICLR PML Workshop, 2024
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
Rui Zhang, Song Guo, Junxiao Wang, Xin Xie, Dacheng Tao
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Cycle: Sustainable Off-Chain Payment Channel Network with Asynchronous Rebalancing
Zicong Hong, Song Guo, Rui Zhang, Peng Li, Yunfeng Zhan, Wuhui Chen
International Conference on Dependable Systems and Networks (DSN), 2022
Building Gradient Bridges: Label Leakage from Restricted Gradient Sharing in Federated Learning
Rui Zhang, Ka-Ho Chow, Ping Li
arXiv preprint, 2025
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning
Junjie Shan, Ziqi Zhao, Jialin Lu, Rui Zhang, Siu Ming Yiu, Ka-Ho Chow
International Conference on Computer Vision (ICCV), 2025
GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning
Rui Zhang, Song Guo, Ping Li
The Web Conference (WWW), 2024
Posterior Probability-based Label Recovery Attack in Federated Learning
Rui Zhang, Song Guo, Ping Li
ICLR PML Workshop, 2024
Privacy Inference for Data Auditing
Rui Zhang, Song Guo
International Symposium on AI, Data and Digitalization (SAIDD), 2023
MGIA: Mutual Gradient Inversion Attack in MultiModal Federated Learning (Student Abstract)
Xuan Liu, Siqi Cai, Lin Li, Rui Zhang, Song Guo
AAAI Conference on Artificial Intelligence (AAAI), 2023
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
Rui Zhang, Song Guo, Junxiao Wang, Xin Xie, Dacheng Tao
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Cycle: Sustainable Off-Chain Payment Channel Network with Asynchronous Rebalancing
Zicong Hong, Song Guo, Rui Zhang, Peng Li, Yunfeng Zhan, Wuhui Chen
International Conference on Dependable Systems and Networks (DSN), 2022
A Novel Pseudonym Linking Scheme for Privacy Inference in VANETs
Rui Zhang, Xin Wang, Peng Cheng, Jiming Chen.
Vehicular Technology Conference (VTC), 2020
An Industrial Control System Testbed for the Encrypted Controller
Xing Li, Mengxiang Liu, Rui Zhang, Peng Cheng, Jiming Chen
International Conference on Cyber-Physical Systems (ICCPS), 2018
A Simulation-based Platform for Privacy Preservation Research in VANETs
Peng Cheng, Rui Zhang, Linkang Du, Jiming Chen
Chinese Patent (No. CN110189517B), 2020
Experiences
-
The University of Hong Kong 2025 - nowPostdoc Research Fellow
Musketeers Foundation Institute of Data Science -
The Hong Kong Polytechnic University 2020 - 2025Ph.D. Student
Computer Science -
Zhejiang University 2017 - 2020M.Eng. Student
Control Science and Engineering -
Zhejiang Lab Summer 2019Research Scientist, Intern
Research Center for Intelligent Equipment -
Northeastern University 2013 - 2017B.Eng. Student
Automation
First Class Honors
Services
- ACL (2025)
- ICCV (2025)
- ICLR (2025-2026)
- AAAI (2025-2026)
- CVPR (2024-2026)
- IJCAI (2024-2025)
- INFOCOM (2022-2024)
- IEEE Transactions on Parallel and Distributed Systems (TPDS)
- ACM Computing Surveys (CSUR)
- Journal of Sensors
- IEEE Access
- AAAI (2025-2026)
- IJCAI (2024-2025)
Teachings
Teaching Assistant at PolyU:
- Machine Learning (COMP4432) - Spring 2023
- Artificial Intelligence (COMP4431) - Fall 2022
- Artificial Intelligence (COMP4431) - Fall 2021
- Wireless Network and Mobile Computing (COMP5327) - Spring 2021