Y
Yimeng Song
Researcher at Hong Kong Polytechnic University
Publications - 47
Citations - 7055
Yimeng Song is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 15, co-authored 33 publications receiving 4766 citations. Previous affiliations of Yimeng Song include University of Hong Kong & The Chinese University of Hong Kong.
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Journal ArticleDOI
Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2)
TL;DR: It is estimated that 86% of all infections were undocumented before the 23 January 2020 travel restrictions, which explains the rapid geographic spread of SARS-CoV-2 and indicates that containment of this virus will be particularly challenging.
Journal ArticleDOI
An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China.
Huaiyu Tian,Yonghong Liu,Yidan Li,Chieh-Hsi Wu,Bin Chen,Moritz U. G. Kraemer,Moritz U. G. Kraemer,Bingying Li,Jun Cai,Bo Xu,Qiqi Yang,Ben Wang,Peng Yang,Yujun Cui,Yimeng Song,Pai Zheng,Quanyi Wang,Ottar N. Bjørnstad,Ruifu Yang,Bryan T. Grenfell,Bryan T. Grenfell,Oliver G. Pybus,Christopher Dye +22 more
TL;DR: The national emergency response appears to have delayed the growth and limited the size of the COVID-19 epidemic in China, averting hundreds of thousands of cases by 19 February (day 50), and suspending intracity public transport, closing entertainment venues, and banning public gatherings were associated with reductions in case incidence.
Journal ArticleDOI
Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery
Bo Huang,Bei Zhao,Yimeng Song +2 more
TL;DR: The proposed STDCNN has three parts: one part involves a transferred DCNN with deep architecture; another part is designed to analyze multispectral images; and the final part fuses the first two parts into a classification layer, which can produce better land-use maps for real-world urban applications.
Posted ContentDOI
Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (COVID-19)
TL;DR: A majority of COVID-19 infections were undocumented prior to implementation of control measures on January 23, and these undocumented infections substantially contributed to virus transmission, explaining the rapid geographic spread of CO VID-19 and indicating containment of this virus will be particularly challenging.
Journal ArticleDOI
Using multi-source geospatial big data to identify the structure of polycentric cities
Jixuan Cai,Bo Huang,Yimeng Song +2 more
TL;DR: An efficient and reliable method that uses multi-source geospatial big data, including nighttime light imagery and social media check-in maps, to locate the main center and subcenters of a polycentric city is presented.