L
Lin Wang
Researcher at University of Cambridge
Publications - 90
Citations - 7300
Lin Wang is an academic researcher from University of Cambridge. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 32, co-authored 65 publications receiving 5356 citations. Previous affiliations of Lin Wang include City University of Hong Kong & Fudan University.
Papers
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Proceedings ArticleDOI
Inferring spatial transmission of epidemics in networked metapopulations
Jian-Bo Wang,Xiang Li,Lin Wang +2 more
TL;DR: Simulation results on Barabási-Albert (BA) networked metapopulation are presented to verify the satisfactory performance of the proposed invasion pathway inference algorithm based on probability theory and combinatorial mathematics.
Journal ArticleDOI
What can AI learn from bionic algorithms?: Comment on "Does being multi-headed make you better at solving problems? A survey of Physarum-based models and computations" by Chao Gao et al.
TL;DR: A systematic review of publications in the Web of Science constructed a network of scientific citations to overview the hot research areas and outlined recent advancements in bionic algorithms that are grounded in the bio-intelligence of Physarum polycephalum.
Journal ArticleDOI
Assessing the spread risk of COVID-19 associated with multi-mode transportation networks in China
TL;DR: In this paper , the role of road, railway, and air transportation networks in the early spread of SARS-CoV-19 in China was assessed, and it was shown that the short-range spread within Hubei province was dominated by ground traffic, notably, the railway transportation.
Journal ArticleDOI
Inferring time-varying generation time, serial interval, and incubation period distributions for COVID-19
Dongxuan Chen,Yiu Chung Lau,Xiaoke Xu,Lin Wang,Zhanwei Du,Tim K. Tsang,Peng Wu,Eric H. Y. Lau,Jacco Wallinga,Benjamin J. Cowling,Sheikh Taslim Ali +10 more
TL;DR: In this paper , an inferential framework was developed to estimate the generation time distribution that accounts for variation over time due to changes in epidemiology, sampling biases and public health and social measures.
Journal ArticleDOI
The impact of information disclosure on market liquidity: Evidence from firms’ use of Twitter
TL;DR: In this article, the authors examined the effect of the SEC's new regulation on Fair Disclosure valid important corporate information discloses via social media (RIDSM) on market liquidity and found that the regulation is associated with greater volume, consistent with a reduction in information asymmetry.