VDDL: A Deep Learning-Based Vulnerability Detection Model for Smart Contracts. - Fan Jiang 023; Yuanlong Cao; Jianmao Xiao; Hui Yi; Gang Lei 002; Min Liu; Shuiguang Deng; Hao Wang 080 (ML4CS (1), 2022)

Anomaly Detection with Ensemble Empirical Mode Decomposition for Secure QUIC Communications: A Simple Use Case. - Keyang Gu; Junyi Wu 003; Fan Jiang 023; Ruiwen Ji; Lejun Ji; Tao Lei (MONAMI, 2022)

Data Flow-driven and Attention Mechanism-enabled Smart Contract Vulnerability Detection for Secure and Green Blockchain-based Service Networks. - Yuanlong Cao; Fan Jiang 023; Jianmao Xiao; Shaolong Chen; Wei Yang 015; Yugen Yi (ICC, 2023)

A novel anomaly detection model for secure multipath QUIC communications by jointly using empirical mode decomposition and long short-term memory networks. - Gang Lei 002; Junyi Wu 003; Keyang Gu; Fan Jiang 023; Shibin Li; Changgen Jiang (Intell. Decis. Technol., 2024)

SCcheck: A Novel Graph-Driven and Attention- Enabled Smart Contract Vulnerability Detection Framework for Web 3.0 Ecosystem. - Yuanlong Cao; Fan Jiang 023; Jianmao Xiao; Shaolong Chen; Xun Shao; Celimuge Wu (IEEE Trans. Netw. Sci. Eng., 2024)