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:

• Intelligent Trust Evaluation: Developing intelligent, accurate, robust, and practical trust evaluation models, including GNN-empowered (NDSS’26, TDSC’24) and LLM-empowered models (NDSS’27).
• 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

• 2026.9: Our paper on LLM-based trust evaluation has been accepted to NDSS 2027!
• 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.

LLM4Trust: Exploring the Capabilities of Large Language Models for Trust Evaluation
Jie Wang, Yanbo Sun, Zheng Yan, Jiahe Lan, Elisa Bertino
To Appear in Proceedings of the 34th Network and Distributed System Security Symposium (NDSS, Cycle 1: 162/1153=14.05%)

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
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%)

🎖 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
• China Scholarship Council (CSC) Scholarship, 2022

💼 Projects

• APT Attack Detection Based on Provenance Graphs
  Student Innovation Program, School of Cyber Engineering · Project Leader · RMB 60,000 · Aug 2025 – Jul 2026
• Trustworthy Trust Evaluation Based on Graph Neural Networks
  Graduate Innovation Fund, Xidian University · Project Leader · RMB 10,000 · Jan 2025 – Dec 2025

💻 Services

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