40 citations · 56 across the 8 of their papers we have counts for
8 papers
Nationwide Hourly Population Estimating at the Neighborhood Scale in the United States Using Stable-Attendance Anchor Calibration
Huan Ning, Zhenlong Li, Manzhu Yu +3
Traditional population datasets are largely static and therefore unable to capture the strong temporal dynamics of human presence driven by daily mobility. Recent smartphone-based…
Cross-Modal Urban Sensing: Evaluating Sound-Vision Alignment Across Street-Level and Aerial Imagery
Pengyu Chen, Xiao Huang, Teng Fei +1
Environmental soundscapes convey substantial ecological and social information regarding urban environments; however, their potential remains largely untapped in large-scale geogra…
ODT FLOW: A Scalable Platform for Extracting, Analyzing, and Sharing Multi-source Multi-scale Human Mobility
Zhenlong Li, Xiao Huang, Tao Hu +3
In response to the soaring needs of human mobility data, especially during disaster events such as the COVID-19 pandemic, and the associated big data challenges, we develop a scala…
Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
Xiao Huang, Di Zhu, Fan Zhang +3
The rapid development of remote sensing techniques provides rich, large-coverage, and high-temporal information of the ground, which can be coupled with the emerging deep learning…
Measuring Global Multi-Scale Place Connectivity using Geotagged Social Media Data
Zhenlong Li, Xiao Huang, Xinyue Ye +5
Shaped by human movement, place connectivity is quantified by the strength of spatial interactions among locations. For decades, spatial scientists have researched place connectivi…
Simulating multi-exit evacuation using deep reinforcement learning
Dong Xu, Xiao Huang, Joseph Mango +2
Conventional simulations on multi-exit indoor evacuation focus primarily on how to determine a reasonable exit based on numerous factors in a changing environment. Results commonly…
Twitter, human mobility, and COVID-19
Xiao Huang, Zhenlong Li, Yuqin Jiang +2
The outbreak of COVID-19 highlights the need for a more harmonized, less privacy-concerning, easily accessible approach to monitoring the human mobility that has been proved to be…
Translating multispectral imagery to nighttime imagery via conditional generative adversarial networks
Xiao Huang, Dong Xu, Zhenlong Li +1
Nighttime satellite imagery has been applied in a wide range of fields. However, our limited understanding of how observed light intensity is formed and whether it can be simulated…