3 papers
cs.AI2025
Urban Region Pre-training and Prompting: A Graph-based Approach
Jiahui Jin, Yifan Song, Dong Kan +5
Urban region representation is crucial for various urban downstream tasks. However, despite the proliferation of methods and their success, acquiring general urban region knowledge…
cs.AI2025
Boundary Prompting: Elastic Urban Region Representation via Graph-based Spatial Tokenization
Haojia Zhu, Jiahui Jin, Dong Kan +4
Urban region representation is essential for various applications such as urban planning, resource allocation, and policy development. Traditional methods rely on fixed, predefined…
cs.LG2024
An Event-centric Framework for Predicting Crime Hotspots with Flexible Time Intervals
Jiahui Jin, Yi Hong, Guandong Xu +3
Predicting crime hotspots in a city is a complex and critical task with significant societal implications. Numerous spatiotemporal correlations and irregularities pose substantial…