Kai-Kai Yang

DCFAD: Dual-Path Cross-Attention with Learnable Fractional Fourier Transform for Time Series Anomaly Detection

Multivariate time series anomaly detection is crucial for failure diagnosis, network security, and intelligent operations. Reconstruction-based approaches are well suited for unsupervised scenarios, as they detect anomalies without labeled data and model complex temporal patterns through reconstruction. However, despit...