Dr. Faqian Guan
Assistant Professor Master Supervisor
Email: fqguan@cityu.edu.mo
Tel: (853)85902421
Office address: Room S504, Stanley Ho Building, City University of Macau (Taipa)
Educational experience
2025 Doctor of Philosophy in Geoinformation Engineering, China University of Geosciences, Hubei, China
2020 Master of Computer Application Technology, Fuzhou University, Fujian, China
2017 Bachelor of Network Engineering, Minnan Normal University, Fujian, China
Incumbent
Assistant Professor, Faculty of Data Science, City University of Macau
Research direction
Artificial Intelligence Privacy and Security
Graph Neural Networks
Large Language Models
Research and publishing
Faqian Guan, Tianqing Zhu, Wanlei Zhou, Kim-Kwang Raymond Choo. Graph neural networks: a survey on the links between privacy and security[J]. Artificial Intelligence Review, 2024, 57(2): 40. (JCR Q1, IF 13.9)
Faqian Guan, Tianqing Zhu, Wenhan Chang, Wei Ren, Wanlei Zhou. Large Language Models Merging for Enhancing the Link Stealing Attack on Graph Neural Networks [J]. IEEE Transactions on Dependable and Secure Computing, 2025. (JCR Q1, IF 7.5, CCF A)
Faqian Guan, Tianqing Zhu, Hanjin Tong, Wanlei Zhou. Attention-based Membership Inference Attacks on Graph Neural Network through Topological Features [J]. IEEE Transactions on Dependable and Secure Computing, 2025. (JCR Q1, IF 7.5, CCF A)
Faqian Guan, Tianqing Zhu, Hanjin Tong, Wanlei Zhou. A realistic model extraction attack against graph neural networks[J]. Knowledge-Based Systems, 2024: 112144. (JCR Q1, IF 7.6)
Faqian Guan, Tianqing Zhu, Wanlei Zhou, Philip S. Yu. Topology-based Node-level Membership Inference Attacks on Graph Neural Networks [J]. IEEE Transactions on Big Data, 2025. (JCR Q1, IF 5.7)
Faqian Guan, Tianqing Zhu, Hui Sun, Wanlei Zhou, Philip S. Yu. Large Language Models for Link Stealing Attacks Against Graph Neural Networks[J]. IEEE Transactions on Big Data, 2024. (JCR Q1, IF 5.7)
Faqian Guan, Tianqing Zhu, Hanjin Tong, Wanlei Zhou. Topology modification against membership inference attack in Graph Neural Networks[J]. Knowledge-Based Systems, 2024, 305: 112642. (JCR Q1, IF 7.6)
Faqian Guan, Chunyan Yu, Suqiong Yang. A GAN model with self-attention mechanism to generate multiinstruments symbolic music[C]//2019 International joint conference on neural networks (IJCNN). IEEE, 2019: 1-6. (EI, CCF-C)
Hanjin Tong, Tianqing Zhu, Faqian Guan. Defense against graph Injection attack in graph neural networks[C]//2024 International Conference on Data Science in Cyberspace (DSC). (EI, Best Paper)