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cs.LG2023
Regions are Who Walk Them: a Large Pre-trained Spatiotemporal Model Based on Human Mobility for Ubiquitous Urban Sensing
Ruixing Zhang, Liangzhe Han, Leilei Sun +3
User profiling and region analysis are two tasks of significant commercial value. However, in practical applications, modeling different features typically involves four main steps…
cs.LG2023
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation
Mingzhe Liu, Han Huang, Hao Feng +3
Spatiotemporal data mining plays an important role in air quality monitoring, crowd flow modeling, and climate forecasting. However, the originally collected spatiotemporal data in…