3 papers
cs.LG2026
AWGformer: Adaptive Wavelet-Guided Transformer for Multi-Resolution Time Series Forecasting
Wei Li
Time series forecasting requires capturing patterns across multiple temporal scales while maintaining computational efficiency. This paper introduces AWGformer, a novel architectur…
cs.LG2026
ScatterFusion: A Hierarchical Scattering Transform Framework for Enhanced Time Series Forecasting
Wei Li
Time series forecasting presents significant challenges due to the complex temporal dependencies at multiple time scales. This paper introduces ScatterFusion, a novel framework tha…
cs.LG2025
Cross-Modal Deep Metric Learning for Time Series Anomaly Detection
Wei Li, Zheze Yang
To effectively address the issues of low sensitivity and high time consumption in time series anomaly detection, we propose an anomaly detection method based on cross-modal deep me…