Dr. Xuhan Zuo
Assistant Professor Master Supervisor
Email: xhzuo@cityu.edu.mo
Tel: (853)85902429
Office address: Room S401, Stanley Ho Building, City University of Macau (Taipa)
Educational experience
2025 Doctor of Philosophy in Computer Science, University of Technology Sydney, Australia
2019 Bachelor of Information and Communication Technology (Honours) University of Technology Sydney, Australia
2019 Bachelor of Computer Science, Harbin Engineering University, China
Incumbent
Assistant Professor, Faculty of Data Science, City University of Macau
Courses taught
University of Technology Sydney Business Requirement Modelling
University of Technology Sydney Engineering Communication
University of Technology Sydney (NEUQ) Network Fundamental
Australian National Institute of Management and Commerce (IMC), Data assurance related courses
Research direction
Large Language Model, Machine Unlearning, Robotics, FinTech
Research and publishing
Book Chapters
- Minghao Wang, Xuhan Zuo, Tianqing Zhu, "Blockchain in 5G and 6G networks", Blockchains for Network Security, (2020): 137-173.
Refereed Journal Articles
- Xuhan Zuo, Tianqing Zhu, Minghao Wang, Lefeng Zhang, Shui Yu, Wanlei Zhou,. "Federated learning with blockchain-enhanced machine unlearning: A trustworthy approach." IEEE Transactions on Services Computing,2025, 18(3):1428-1444. IF 5.8 JCR Q1,CCFA
- Xuhan Zuo, Minghao Wang, Dayong Ye, Shui Yu, "A Scheme of Dynamic Location Privacy-Preserving with Blockchain in Intelligent Transportation System", The 24th International Conference on Algorithms and Architectures for Parallel Processing, 2024. CCFC
- Minghao Wang, Tianqing Zhu, Xuhan Zuo, Mengmeng Yang, Shui Yu, Wanlei Zhou, "Differentially private crowdsourcing with the public and private blockchain", IEEE Internet of Things Journal, 2023, 10(10):8918 - 8930. IF 10.6 JCR Q1 .
- Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou, "Blockchain-based Gradient Inversion and Poisoning Defense for Federated Learning", IEEE Internet of Things Journal, 2023. IF 10.6, JCR Q1.
- Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou, "Advising Multi-agent System with Blockchain Network", IEEE Internet of Things Journal, 2023. IF 10.6, JCR Q1.
- Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou, "Public and Private Blockchain Infusion: A Novel Approach to Federated Learning", IEEE Internet of Things Journal, 2024. IF 10.6, JCR Q1.
- Sheng. Shen, Tianqing Zhu, Dayong Ye, Minghao Wang, Xuhan Zuo, A. Zhou, "A novel differentially private advising framework in cloud server environment", Concurrency and Computation: Practice and Experience, 2022, 34(7): e5932.
Academic Awards
ARC Discover Project Scholarship, University of Technology Sydney 2020 – 2024
International Research Scholarship, University of Technology Sydney 2020 – 2024
