Yiming Niu

PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting

Periodicity is a fundamental characteristic of time series data and has long played a central role in forecasting. Recent deep learning methods strengthen the exploitation of periodicity by treating patches as basic tokens, thereby improving predictive effectiveness. However, their efficiency remain…