5 citations · 21 across the 12 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2025
Downscaling human mobility data based on demographic socioeconomic and commuting characteristics using interpretable machine learning methods
Yuqin Jiang, Andrey A. Popov, Tianle Duan +1
Understanding urban human mobility patterns at various spatial levels is essential for social science. This study presents a machine learning framework to downscale origin-destinat…
cs.LG2022
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…
cs.LG2021★ 2 cited
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…