Maozhen Li

Generalized Pareto Model Based on Particle Swarm Optimization for Anomaly Detection

2019 · IEEE Access

Anomaly detection of time series has been widely used in various fields. Most detection methods depend either on assumptions about data distribution or manual threshold setting. If the assumption is incorrect, the effectiveness of detection …

RGCNet: Riemannian graph convolutional networks for end-to-end smart contract vulnerability detection

2026 · Neurocomputing

Frequent security issues with smart contract vulnerabilities have become a pressing challenge in the industry. Conventional program analysis methods lack flexibility and extensibility, leading to high false positive rates. Deep learning approaches are emerging as …