3 papers
physics.soc-ph2025
GenAI Models Capture Urban Science but Oversimplify Complexity
Yecheng Zhang, Rong Zhao, Zimu Huang +3
Generative artificial intelligence (GenAI) models are increasingly used for scientific data generation, yet their alignment with empirical knowledge in urban science remains unclea…
cs.CV2024
CMAB: A First National-Scale Multi-Attribute Building Dataset in China Derived from Open Source Data and GeoAI
Yecheng Zhang, Huimin Zhao, Ying Long
Rapidly acquiring three-dimensional (3D) building data, including geometric attributes like rooftop, height and orientations, as well as indicative attributes like function, qualit…
physics.soc-ph2024
Inferring ghost cities on the globe in newly developed urban areas based on urban vitality with multi-source data
Yecheng Zhang, Tangqi Tu, Ying long
Due to rapid urbanization over the past 20 years, many newly developed areas have lagged in socio-economic maturity, creating an imbalance with older cities and leading to the rise…