Hong-Lan Wu

DualFormer: A Dual-View Transformer for Multivariate Time-Series Anomaly Detection

Reconstruction-based multivariate time-series anomaly detection remains challenging because anomaly evidence may appear in temporal evolution, cross-variable relationships, and weak local variation patterns. To address this issue, we propose DualFormer, a dual-view Transformer framework that constructs temporal-patch a...