Qi-He Huang

TStruct: Learning Shared Temporal Structures for Long-Term Time Series Forecasting

Long-term time series forecasting requires learning temporal dependencies that remain stable and generalizable under temporal distribution shifts. However, real-world time series are often noisy, non-stationary, and heterogeneous, making deep learning models prone to overfitting incidental temporal interactions in the...