3 papers
cs.LG2026
Inferring Urban Mobility Interactions from Aggregated Dynamics
Yi Wang, Jing Li, Jinliang Deng +5
Real-time urban governance depends not only on knowing where people are, but on how they move between places, directional flows that could be conventionally resolved by tracking in…
cs.LG2026
OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction
Changjian Liu, Yong Gao, Yuqing Wang +5
Origin-destination (OD) flow prediction is central to urban analytics, yet deep models trained on raw counts remain vulnerable to distribution shift. The core problem is that raw c…
cs.LG2025
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…