3 papers
cs.LG2023
Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer
Li Shen, Yuning Wei, Yangzhu Wang +1
With the development of Internet of Things (IoT) systems, precise long-term forecasting method is requisite for decision makers to evaluate current statuses and formulate future po…
cs.LG2023
GBT: Two-stage transformer framework for non-stationary time series forecasting
Li Shen, Yuning Wei, Yangzhu Wang
This paper shows that time series forecasting Transformer (TSFT) suffers from severe over-fitting problem caused by improper initialization method of unknown decoder inputs, esp. w…
cs.LG2023
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting
Li Shen, Yuning Wei, Yangzhu Wang +1
This paper presents FDNet: a Focal Decomposed Network for efficient, robust and practical time series forecasting. We break away from conventional deep time series forecasting form…