5 citations · 21 across the 9 of their papers we have counts for
9 papers
Attributed Network Embedding Model for Exposing COVID-19 Spread Trajectory Archetypes
Junwei Ma, Bo Li, Qingchun Li +2
The spread of COVID-19 revealed that transmission risk patterns are not homogenous across different cities and communities, and various heterogeneous features can influence the spr…
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…
Spatio-Temporal Graph Convolutional Networks for Road Network Inundation Status Prediction during Urban Flooding
Faxi Yuan, Yuanchang Xu, Qingchun Li +1
The objective of this study is to predict the near-future flooding status of road segments based on their own and adjacent road segments current status through the use of deep lear…
Revealing Critical Characteristics of Mobility Patterns in New York City during the Onset of COVID-19 Pandemic
Akhil Anil Rajput, Qingchun Li, Xinyu Gao +1
New York has become one of the worst-affected COVID-19 hotspots and a pandemic epicenter due to the ongoing crisis. This paper identifies the impact of the pandemic and the effecti…
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…