POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling

1 code implementation • TIST 2021 2021 • Haoyi Zhou, Hao Peng, Jieqi Peng, Shuai Zhang, JianXin Li

Extensive experiments are conducted on five large-scale datasets, which demonstrate that our method achieves state-of-the-art performance and validates the effectiveness brought by local structure information.

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

7 code implementations • 14 Dec 2020 • Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, JianXin Li, Hui Xiong, Wancai Zhang

Many real-world applications require the prediction of long sequence time-series, such as electricity consumption planning.

Multivariate Time Series Forecasting Time Series +1