Xinru Liu

TSCNet: A Trend-Seasonality Coupled Network for Efficient Multivariate Time Series Forecasting.

Currently, time series forecasting methods typically follow a "decompose-and-forecast-independently" strategy, where the original series is first decomposed into trend and seasonal components, and different components are then modeled separately. However, in real-world data, trends and seasonality are often dynamically...