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

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 · 519 citations

Multimodal Llm, Sequence Modelling, Engineering +15

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

Decomposition Transformers, Dependencies Discovery, Probabilistic Forecasting +15

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

Haixu Wu, Tengge Hu, Yong Liu et al. · arXiv (Cornell University) · 2022 · 419 citations · Full text

Engineering, Machine Learning, Data Science +14

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Yong Liu, Tengge Hu, Haoran Zhang et al. · arXiv (Cornell University) · 2023 · 351 citations · Full text

Forecasting Methodology, Engineering, Machine Learning +12