2 papers
cs.LG2026
GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
Songyu Ke, Chenyu Wu, Yuxuan Liang +3
The ubiquity of missing data in urban intelligence systems, attributable to adverse environmental conditions and equipment failures, poses a significant challenge to the efficacy o…
cs.AI2026
ActivityEditor: Learning to Synthesize Physically Valid Human Mobility
Chenjie Yang, Yutian Jiang, Anqi Liang +3
Human mobility modeling is indispensable for diverse urban applications. However, existing data-driven methods often suffer from data scarcity, limiting their applicability in regi…