Xin Lin's research while affiliated with Beihang University (BUAA) and other places

Publications (10)

Article
Full-text available
Background: A local coronavirus disease 2019 (COVID-19) case confirmed on June 11, 2020 triggered an outbreak in Beijing, China after 56 consecutive days without a newly confirmed case. Non-pharmaceutical interventions (NPIs) were used to contain the source in Xinfadi (XFD) market. To rapidly control the outbreak, both traditional and newly introd...
Article
Full-text available
Objective To evaluate epidemiological characteristics and transmission dynamics of COVID-19 outbreak resurged in Beijing and to assess the effects of three non-pharmaceutical interventions. Design Descriptive and modelling study based on surveillance data of COVID-19 in Beijing. Setting Outbreak in Beijing. Participants The database included 335...
Article
Recent years have witnessed the emergence of worldwide megalopolises and the accompanying public safety events, making urban safety a top priority in modern urban management. Among various threats, dangerous goods such as gas and hazardous chemicals transported through cities have bred repeated tragedies and become the deadly “bomb” we sleep with e...
Article
Full-text available
Objectives We aim to assess the impact of temperature and relative humidity on the transmission of COVID-19 across communities after accounting for community-level factors such as demographics, socioeconomic status and human mobility status. Design A retrospective cross-sectional regression analysis via the Fama-MacBeth procedure is adopted. Sett...
Preprint
The impact of the outbreak of COVID-19 on health has been widely concerned. Disease risk assessment, prediction, and early warning have become a significant research field. Previous research suggests that there is a relationship between air quality and the disease. This paper investigated the impact of the atmospheric environment on the basic repro...
Preprint
Since December 2019, A novel coronavirus (2019-nCoV) has been breaking out in China, which can cause respiratory diseases and severe pneumonia. Epidemic models relying on the incidence rate of new cases for forecasting epidemic outbreaks have received increasing attention. However, many prior works in this area mostly focus on the application of th...
Conference Paper
Full-text available
Personalized Route Recommendation (PRR) aims to generate user-specific route suggestions in response to users' route queries. Early studies cast the PRR task as a pathfinding problem on graphs, and adopt adapted search algorithms by integrating heuristic strategies. Although these methods are effective to some extent, they require setting the cost...
Preprint
Full-text available
Personalized Route Recommendation (PRR) aims to generate user-specific route suggestions in response to users' route queries. Early studies cast the PRR task as a pathfinding problem on graphs, and adopt adapted search algorithms by integrating heuristic strategies. Although these methods are effective to some extent, they require setting the cost...

Citations

... Since the containment strategy against COVID-19 has been adopted in China, the measure of large-scale PCR-based testing of SARS-CoV-2 in throat swab samples is critical for sustaining containment in mainland China [15], particularly for controlling numerous local outbreaks caused by imported viruses. For example, between 11 June and 14 July, 2020, 11.9 million persons were tested at Beijing's Xinfadi market during the outbreak [16], contributing to an optimal balance between epidemic containment and economic protection in Beijing [17]. In another two cases of COVID-19 epidemic control, 4.5 million and 10.9 million people received nucleic acid testing for SARS-CoV-2 virus within 5 days in Dalian [18] and Qingdao [19], respectively. ...
... The details of the intervention measures in response to the Xinfadi outbreak have been previously described [17,18]. We categorized these measures into eight types: (i) symptom-based surveillance in health care facilities and communities; (ii) mask-wearing order in public places; (iii) closure . ...
... Rendana's study showed that the lower the wind speed, the more people were infected with COVID-19 [12]. Wang and other scholars conducted research on 100 cities in China that had the outbreak of COVID-19 and found that high temperatures and high relative humidity inhibits the spread of COVID-19 [13]. In addition, some scholars have also studied the effects of air pressure [14], precipitation, and solar radiation on the transmission of novel coronavirus [15,16]. ...
... The core idea of modeling is similar to the random forest algorithm in machine learning. The experiments show that "X-ensemble" can resist various types of state-of-theart attacks and is suitable to diverse attack scenarios [28]. Y Ma et al. develop a visual analytics project to graphically show the vulnerability of machine learning models, such as imbalance of the training, and can detect adversarial attacks like data poisoning. ...
... This is due to their generic formulation and ease of implementation. For instance, prior works have shown that evolutionary-based methods, and generally gradient-free approaches, perform well in dynamic scenarios [238,212,239,213]. Some works use a combination of a DNN surrogate, and classical optimization techniques such as mixed-integer linear programming (MILP) [211]. ...