4 papers
Prior Knowledge-enhanced Spatio-temporal Epidemic Forecasting
Sijie Ruan, Jinyu Li, Jia Wei +7
Spatio-temporal epidemic forecasting is critical for public health management, yet existing methods often struggle with insensitivity to weak epidemic signals, over-simplified spat…
M-STAR: Multi-Scale Spatiotemporal Autoregression for Human Mobility Modeling
Yuxiao Luo, Songming Zhang, Sijie Ruan +5
Modeling human mobility is vital for extensive applications such as transportation planning and epidemic modeling. With the rise of the Artificial Intelligence Generated Content (A…
A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction
Yi Wang, Zhenghong Wang, Fan Zhang +9
Human activity intensity prediction is crucial to many location-based services. Despite tremendous progress in modeling dynamics of human activity, most existing methods overlook p…
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
Qianxiong Xu, Cheng Long, Ziyue Li +3
Sensors are commonly deployed to perceive the environment. However, due to the high cost, sensors are usually sparsely deployed. Kriging is the tailored task to infer the unobserve…