3 papers
cs.LG2026
TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion
Yu Sun, Yuan Chang, Xiaohou Shi +1
Large-scale multivariate time series from heterogeneous IoT sensors demand accurate long-term forecasting for resource scheduling and predictive maintenance. While recent time seri…
cs.LG2026
VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection
PengYu Chen, Shang Wan, Xiaohou Shi +3
Time series anomaly detection (TSAD) is essential for maintaining the reliability and security of IoT-enabled service systems. Existing methods require training one specific model…
cs.LG2025
RED-F: Reconstruction-Elimination based Dual-stream Contrastive Forecasting for Multivariate Time Series Anomaly Prediction
PengYu Chen, Xiaohou Shi, Yuan Chang +2
Anomaly prediction (AP) in multivariate time series (MTS) is crucial to ensure system dependability. Existing methods either focus solely on whether an anomaly is imminent without…