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AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks

文献类型：期刊论文

作者Wang, Qiongyan1; Xia, Yutong5; Zhong, Siru1; Li, Weichuang1; Wu, Yuankai2; Cheng, Shifen4; Zhang, Junbo3; Zheng, Yu3; Liang, Yuxuan1,4
刊名THIRTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, AAAI-25, VOL 39 NO 27
出版日期2025
卷号N/A页码:28467-28475
ISSN号2159-5399
DOI10.1609/aaai.v39i27.35069
产权排序5
文献子类Proceedings Paper
英文摘要Monitoring real-time air quality is essential for safeguarding public health and fostering social progress. However, the widespread deployment of air quality monitoring stations is constrained by their significant costs. To address this limitation, we introduce AirRadar, a deep neural network designed to accurately infer real-time air quality in locations lacking monitoring stations by utilizing data from existing ones. By leveraging learnable mask tokens, AirRadar reconstructs air quality features in unmonitored regions. Specifically, it operates in two stages: first capturing spatial correlations and then adjusting for distribution shifts. We validate AirRadar's efficacy using a year-long dataset from 1,085 monitoring stations across China, demonstrating its superiority over multiple baselines, even with varying degrees of unobserved data.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001477481300077
出版者ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE
源URL[http://ir.igsnrr.ac.cn/handle/311030/215422]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Liang, Yuxuan
作者单位1.Hong Kong Univ Sci & Technol Guangzhou, Guangzhou, Peoples R China;
2.Sichuan Univ, Chengdu, Peoples R China;
3.JD Intelligent Cities Res, Beijing, Peoples R China;
4.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
5.Natl Univ Singapore, Singapore, Singapore;
推荐引用方式
GB/T 7714		 Wang, Qiongyan,Xia, Yutong,Zhong, Siru,et al. AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks[J]. THIRTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, AAAI-25, VOL 39 NO 27,2025,N/A:28467-28475.
APA Wang, Qiongyan.,Xia, Yutong.,Zhong, Siru.,Li, Weichuang.,Wu, Yuankai.,...&Liang, Yuxuan.(2025).AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks.THIRTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, AAAI-25, VOL 39 NO 27,N/A,28467-28475.
MLA Wang, Qiongyan,et al."AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks".THIRTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, AAAI-25, VOL 39 NO 27 N/A(2025):28467-28475.

入库方式： OAI收割

来源：地理科学与资源研究所

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