4 papers
ToPT: Task-Oriented Prompt Tuning for Urban Region Representation Learning
Zitao Guo, Changyang Jiang, Tianhong Zhao +3
Learning effective region embeddings from heterogeneous urban data underpins key urban computing tasks (e.g., crime prediction, resource allocation). However, prevailing two-stage…
Sat2Flow: A Structure-Aware Diffusion Framework for Human Flow Generation from Satellite Imagery
Xiangxu Wang, Tianhong Zhao, Wei Tu +3
Origin-Destination (OD) flow matrices are critical for urban mobility analysis, supporting traffic forecasting, infrastructure planning, and policy design. Existing methods face tw…
Planning for Cooler Cities: A Multimodal AI Framework for Predicting and Mitigating Urban Heat Stress through Urban Landscape Transformation
Shengao Yi, Xiaojiang Li, Wei Tu +1
As extreme heat events intensify due to climate change and urbanization, cities face increasing challenges in mitigating outdoor heat stress. While traditional physical models such…
Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach
Jinzhou Cao, Xiangxu Wang, Jiashi Chen +5
Fine-grained economic mapping through urban representation learning has emerged as a crucial tool for evidence-based economic decisions. While existing methods primarily rely on su…