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Role of Asymptomatic COVID-19 Cases in Viral Transmission: Findings From a Hierarchical Community Contact Network Model 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 10
作者:  Luo, Tianyi;  Cao, Zhidong;  Wang, Yuejiao;  Zeng, Daniel;  Zhang, Qingpeng
Adobe PDF(2265Kb)  |  收藏  |  浏览/下载：299/44  |  提交时间：2022/01/27
COVID-19  Epidemics  Pandemics  Sociology  Market research  Mathematical models  Timing  Risk management  Statistics  Asymptomatic patients  COVID-19  epidemic rebound  strategy evaluation  transmission model  
Impacts of Export Restrictions on the Global Personal Protective Equipment Trade Network During COVID-19 期刊论文
ADVANCED THEORY AND SIMULATIONS, 2021, 页码: 9
作者:  Ye, Yang;  Zhang, Qingpeng;  Cao, Zhidong;  Chen, Frank Youhua;  Yan, Houmin;  Stanley, H. Eugene;  Zeng, Daniel Dajun
收藏  |  浏览/下载：240/0  |  提交时间：2021/12/28
coronavirus disease 2019  export restrictions  network  personal protective equipment  severe acute respiratory syndrome coronavirus 2  
epsilon-k anonymization and adversarial training of graph neural networks for privacy preservation in social networks 期刊论文
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2021, 卷号: 50, 页码: 17
作者:  Tian, Hu;  Zheng, Xiaolong;  Zhang, Xingwei;  Zeng, Daniel Dajun
Adobe PDF(2484Kb)  |  收藏  |  浏览/下载：305/103  |  提交时间：2021/12/28
Privacy preservation  Anonymization  Graph neural networks  Social network  
Detecting Product Adoption Intentions via Multiview Deep Learning 期刊论文
INFORMS JOURNAL ON COMPUTING, 2021, 页码: 17
作者:  Zhang, Zhu;  Wei, Xuan;  Zheng, Xiaolong;  Li, Qiudan;  Zeng, Daniel Dajun
收藏  |  浏览/下载：247/0  |  提交时间：2021/12/28
web mining  business intelligence  intention detection  deep learning  social media analytics  
Predicting product adoption intentions: An integrated behavioral model-inspired multiview learning approach 期刊论文
INFORMATION & MANAGEMENT, 2021, 卷号: 58, 期号: 7, 页码: 12
作者:  Zhang, Zhu;  Wei, Xuan;  Zheng, Xiaolong;  Zeng, Daniel Dajun
收藏  |  浏览/下载：236/0  |  提交时间：2021/11/04
Text mining  Deep learning  Product adoption intention  Multi-view learning  
Demand-driven spreading patterns of African swine fever in China 期刊论文
CHAOS, 2021, 卷号: 31, 期号: 6, 页码: 7
作者:  Yang, Jiannan;  Tang, Kaichen;  Cao, Zhidong;  Pfeiffer, Dirk U.;  Zhao, Kang;  Zhang, Qingpeng;  Zeng, Daniel Dajun
收藏  |  浏览/下载：223/0  |  提交时间：2021/08/15
Relationship between angiotensin-converting enzyme inhibitors or angiotensin receptor blockers and COVID-19 incidence or severe disease 期刊论文
JOURNAL OF HYPERTENSION, 2021, 卷号: 39, 期号: 8, 页码: 1717-1724
作者:  Tse, Gary;  Zhou, Jiandong;  Lee, Sharen;  Wong, Wing Tak;  Li, Xintao;  Liu, Tong;  Cao, Zhidong;  Zeng, Daniel Dajun;  Wai, Abraham K. C.;  Wong, Ian Chi Kei;  Cheung, Bernard Man Yung;  Zhang, Qingpeng
收藏  |  浏览/下载：255/0  |  提交时间：2021/08/15
angiotensin receptor blockers  angiotensin-converting enzyme inhibitors  COVID-19 incidence  
Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong 期刊论文
NPJ DIGITAL MEDICINE, 2021, 卷号: 4, 期号: 1, 页码: 9
作者:  Zhou, Jiandong;  Lee, Sharen;  Wang, Xiansong;  Li, Yi;  Wu, William Ka Kei;  Liu, Tong;  Cao, Zhidong;  Zeng, Daniel Dajun;  Leung, Keith Sai Kit;  Wai, Abraham Ka Chung;  Wong, Ian Chi Kei;  Cheung, Bernard Man Yung;  Zhang, Qingpeng;  Tse, Gary
收藏  |  浏览/下载：243/0  |  提交时间：2021/05/17
The collective wisdom in the COVID-19 research: Comparison and synthesis of epidemiological parameter estimates in preprints and peer-reviewed articles 期刊论文
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2021, 卷号: 104, 期号: 1, 页码: 1-6
作者:  Wang, Yuejiao;  Cao, Zhidong;  Zeng, Daniel Dajun;  Zhang, Qingpeng;  Luo, Tianyi
Adobe PDF(1028Kb)  |  收藏  |  浏览/下载：256/40  |  提交时间：2021/05/17
COVID-19  Preprint  Peer review  Epidemiology  
Unveiling the Hidden Truth of Drug Addiction: A Social Media Approach Using Similarity Network-Based Deep Learning 期刊论文
JOURNAL OF MANAGEMENT INFORMATION SYSTEMS, 2021, 卷号: 38, 期号: 1, 页码: 166-195
作者:  Xie, Jiaheng;  Zhang, Zhu;  Liu, Xiao;  Zeng, Daniel
收藏  |  浏览/下载：182/0  |  提交时间：2021/05/10
Computational design science  deep learning  social media analytics  health IT  HealthTech  opioid addiction  addiction treatment