I am currently a postdoctoral fellow at the Hangzhou Institute of Technology, Xidian University, working with Prof. Zheng Yan. I received my Ph.D. degree from Xidian University under the supervision of Prof. Zheng Yan. From June 2022 to May 2024, I was a visiting PhD student at the Department of Information and Communications Engineering, Aalto University, where I was supervised by Prof. Raimo Kantola and Prof. Riku Jantti. I received my bachelor’s degree from Xidian University in June 2020. During my undergraduate studies, I was also a visiting student at Nanyang Technological University, supervised by Prof. Kwok-Yan Lam.

I am broadly interested in AI for Trust and Trustworthy AI, with a particular focus on the following areas:

• Graph Neural Networks for Trust Evaluation: Developing intelligent, accurate, robust, and practical trust evaluation models (NDSS’26, TDSC’24).
• Robustness of AI Models: Investigating the robustness of LLM-enhanced GNNs against data poisoning attacks (S&P’26); Designing backdoor attacks against DNN-based speech recognition systems (S&P’24).
• Trustworthy AI Agents: Building trustworthy multi-agent systems and identifying trust-related issues in AI agents (open to collaborations😀).

🔥 News

• 2026.3: Our paper on the robustness of LLM-enhanced GNNs has been accepted to S&P 2026!
• 2026.3: Personal website online!

📝 Selected Publications

† represents equal contribution.

CAT: Can Trust be Predicted with Context-Awareness in Dynamic Heterogeneous Networks?
Jie Wang, Zheng Yan, Jiahe Lan, Xuyan Li, Elisa Bertino
Proceedings of the 33rd Network and Distributed System Security Symposium (NDSS, Acceptance Rate: 17.89%)

Are LLM-Enhanced Graph Neural Networks Robust against Poisoning Attacks?
Jie Wang†, Yuhang Ma†, Zheng Yan
To Appear in Proceedings of the 47th IEEE Symposium on Security and Privacy (S&P, Cycle 2: 135/1070=12.6%)

TrustGuard: GNN-Based Robust and Explainable Trust Evaluation with Dynamicity Support
Jie Wang, Zheng Yan, Jiahe Lan, Elisa Bertino, Witold Pedrycz
IEEE Transactions on Dependable and Secure Computing (TDSC)

A Survey on Trust Models in Heterogeneous Networks
Jie Wang, Zheng Yan, Haiguang Wang, Tieyan Li, Witold Pedrycz
IEEE Communications Surveys & Tutorials (COMST)

FlowMur: A Stealthy and Practical Audio Backdoor Attack with Limited Knowledge
Jiahe Lan, Jie Wang, Baochen Yan, Zheng Yan, Elisa Bertino
Proceedings of the 45th IEEE Symposium on Security and Privacy (S&P, Cycle 2: 83/558=14.9%)

Graph Neural Networks for Trust Evaluation: Criteria, State-of-the-Art, and Future Directions
Jie Wang†, Tingxi Luo†, Zheng Yan, Erol Gelenbe
IEEE Network

🎖 Honors and Awards

• “Qi An Xin” Scholarship, Qi An Xin Technology Group Inc., 2025
• Outstanding Leadership Award, IEEE International Conference on Blockchain, 2024
• Outstanding Service Award, The First International Symposium on Recent Advances of Blockchain Evolution: Architecture, Intelligence, Incentive, and Applications, 2022

💻 Services

• Conference Reviewer: AAAI 2027, USENIX Security 2027 (Subreviewer), INFOCOM 2027 (Subreviewer)
• Journal Reviewer: IEEE TDSC, IEEE TIFS, CSUR

🌍 Visited Countries