442 citations · 579 across the 20 of their papers we have counts for
4 papers · 1 filter
Assessing Road Traffic Safety During COVID-19: Inequality, Irregularity, and Severity
Lei Lin, Feng Shi, Weizi Li
COVID-19 is affecting every social sector significantly, including human mobility and subsequently road traffic safety. In this study, we analyze the impact of the pandemic on traf…
Spatial-temporal Analysis of COVID-19's Impact on Human Mobility: the Case of the United States
Songhe Wang, Kangda Wei, Lei Lin +1
COVID-19 has been affecting every aspect of societal life including human mobility since December, 2019. In this paper, we study the impact of COVID-19 on human mobility patterns a…
Predicting Station-Level Bike-Sharing Demands Using Graph Convolutional Neural Network
Lei Lin, Weizi Li, Srinivas Peeta
This study proposes a novel Graph Convolutional Neural Network with Data-driven Graph Filter (GCNN-DDGF) model that can learn hidden heterogeneous pairwise correlations among stati…
MCFlow: Monte Carlo Flow Models for Data Imputation
Trevor W. Richardson, Wencheng Wu, Lei Lin +2
We consider the topic of data imputation, a foundational task in machine learning that addresses issues with missing data. To that end, we propose MCFlow, a deep framework for impu…