9 citations · 25 across the 5 of their papers we have counts for
5 papers
Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities
Chao Fan, Yang Yang, Ali Mostafavi
In this study, we propose using a neural embedding model-graph neural network (GNN)- that leverages the heterogeneous features of urban areas and their interactions captured by hum…
Unraveling the Temporal Importance of Community-scale Human Activity Features for Rapid Assessment of Flood Impacts
Faxi Yuan, Yang Yang, Qingchun Li +1
The objective of this research is to explore the temporal importance of community-scale human activity features for rapid assessment of flood impacts. Ultimate flood impact data, s…
Unraveling the Dynamic Importance of County-level Features in Trajectory of COVID-19
Qingchun Li, Yang Yang, Wangqiu Wang +6
The objective of this study was to investigate the importance of multiple county-level features in the trajectory of COVID-19. We examined feature importance across 2,787 counties…
Early Indicators of COVID-19 Spread Risk Using Digital Trace Data of Population Activities
Xinyu Gao, Chao Fan, Yang Yang +4
The spread of pandemics such as COVID-19 is strongly linked to human activities. The objective of this paper is to specify and examine early indicators of disease spread risk in ci…
Effects of Population Co-location Reduction on Cross-county Transmission Risk of COVID-19 in the United States
Chao Fan, Sanghyeon Lee, Yang Yang +3
The rapid spread of COVID-19 in the United States has imposed a major threat to public health, the real economy, and human well-being. With the absence of effective vaccines, the p…