AirFormer: Predicting Nationwide Air Quality in China with Transformers
Published in AAAI-23, 2022
In this study, we present a novel Transformer architecture termed AirFormer to collectively predict nationwide air quality in China over the next 72 hours, with an unprecedented fine spatial granularity covering thousands of locations.
Citation:
@inproceedings{liang2023airformer,
title={Airformer: Predicting nationwide air quality in china with transformers},
author={Liang, Yuxuan and Xia, Yutong and Ke, Songyu and Wang, Yiwei and Wen, Qingsong and Zhang, Junbo and Zheng, Yu and Zimmermann, Roger},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={37},
number={12},
pages={14329--14337},
year={2023}
}