Haixu Wu

Autoformer: Decomposition Transformers with Auto-Correlation for\n Long-Term Series Forecasting

Haixu Wu, Jiehui Xu, Jianmin Wang et al. · arXiv (Cornell University) · 2021 · 1.3K citations · Full text

Computing, Computer Science, Forecasting +16

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning

Yunbo Wang, Haixu Wu, Jianjin Zhang et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2022 · 577 citations

Computing, Computer Science, Curriculum +12

Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Haixu Wu, Jiehui Xu, Jianmin Wang et al. · arXiv (Cornell University) · 2021 · 486 citations · Full text

Computing, Computer Science, Forecasting +16

TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Haixu Wu, Tengge Hu, Yong Liu et al. · arXiv (Cornell University) · 2022 · 432 citations · Full text

Computing, Computer Science, Machine Learning +7

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Yong Liu, Tengge Hu, Haoran Zhang et al. · arXiv (Cornell University) · 2023 · 366 citations · Full text

Computing, Computer Science, Forecasting +16