Beiliang Wu
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View article: IndexNet: Timestamp and Variable-Aware Modeling for Time Series Forecasting
IndexNet: Timestamp and Variable-Aware Modeling for Time Series Forecasting Open
Multivariate time series forecasting (MTSF) plays a vital role in a wide range of real-world applications, such as weather prediction and traffic flow forecasting. Although recent advances have significantly improved the modeling of tempor…
View article: TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting Open
Non-stationarity poses significant challenges for multivariate time series forecasting due to the inherent short-term fluctuations and long-term trends that can lead to spurious regressions or obscure essential long-term relationships. Mos…
View article: WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting Open
Recent CNN and Transformer-based models tried to utilize frequency and periodicity information for long-term time series forecasting. However, most existing work is based on Fourier transform, which cannot capture fine-grained and local fr…