Zirui Zhou

HURST: Heterogeneity-Adaptive Urban Foundation Models for Spatiotemporal Prediction via Self-Partitional Mixture-of-Spatial-Experts

Urban foundation models (UFMs) are pre-trained spatiotemporal (ST) prediction models with the ability to generalize to different tasks. Such models have the potential to transform urban intelligence by reducing domain-specific models and generalizing to tasks with limited data. However, building effective UFMs is a cha...