Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Cai, Mingxiang"'
Autor:
Xu, Qing, Shen, Ziyi, Shah, Neal, Cuomo, Raphael, Cai, Mingxiang, Brown, Matthew, Li, Jiawei, Mackey, Tim
Publikováno v:
JMIR Public Health and Surveillance, Vol 6, Iss 4, p e24125 (2020)
BackgroundThe COVID-19 pandemic has reached 40 million confirmed cases worldwide. Given its rapid progression, it is important to examine its origins to better understand how people’s knowledge, attitudes, and reactions have evolved over time. One
Externí odkaz:
https://doaj.org/article/36ddf20239e4476db9a08a29cc019396
Autor:
Mackey, Tim Ken, Li, Jiawei, Purushothaman, Vidya, Nali, Matthew, Shah, Neal, Bardier, Cortni, Cai, Mingxiang, Liang, Bryan
Publikováno v:
JMIR Public Health and Surveillance, Vol 6, Iss 3, p e20794 (2020)
BackgroundThe coronavirus disease (COVID-19) pandemic is perhaps the greatest global health challenge of the last century. Accompanying this pandemic is a parallel “infodemic,” including the online marketing and sale of unapproved, illegal, and c
Externí odkaz:
https://doaj.org/article/5e5f92db65354a64bc5787e2d63a018b
Autor:
Mackey, Tim, Purushothaman, Vidya, Li, Jiawei, Shah, Neal, Nali, Matthew, Bardier, Cortni, Liang, Bryan, Cai, Mingxiang, Cuomo, Raphael
Publikováno v:
JMIR Public Health and Surveillance, Vol 6, Iss 2, p e19509 (2020)
BackgroundThe coronavirus disease (COVID-19) pandemic is a global health emergency with over 6 million cases worldwide as of the beginning of June 2020. The pandemic is historic in scope and precedent given its emergence in an increasingly digital er
Externí odkaz:
https://doaj.org/article/ea7b5cc0074c40ddb199bbed439050c8
Autor:
An, Wenbin, Shi, Wenkai, Tian, Feng, Lin, Haonan, Wang, QianYing, Wu, Yaqiang, Cai, Mingxiang, Wang, Luyan, Chen, Yan, Zhu, Haiping, Chen, Ping
Generalized Category Discovery (GCD) is a crucial task that aims to recognize both known and novel categories from a set of unlabeled data by utilizing a few labeled data with only known categories. Due to the lack of supervision and category informa
Externí odkaz:
http://arxiv.org/abs/2312.10897
Autor:
An, Wenbin, Tian, Feng, Shi, Wenkai, Lin, Haonan, Wu, Yaqiang, Cai, Mingxiang, Wang, Luyan, Wen, Hua, Yao, Lei, Chen, Ping
Publikováno v:
In Knowledge-Based Systems 7 June 2024 293
Autor:
Wang, Jiapeng, Liu, Chongyu, Jin, Lianwen, Tang, Guozhi, Zhang, Jiaxin, Zhang, Shuaitao, Wang, Qianying, Wu, Yaqiang, Cai, Mingxiang
Visual information extraction (VIE) has attracted considerable attention recently owing to its various advanced applications such as document understanding, automatic marking and intelligent education. Most existing works decoupled this problem into
Externí odkaz:
http://arxiv.org/abs/2102.06732
The rise of online labor markets (e.g., Freelancer, Guru and Upwork) has ignited a lot of research on team formation, where experts acquiring different skills form teams to complete tasks. The core idea in this line of work has been the strict requir
Externí odkaz:
http://arxiv.org/abs/2011.04428
Autor:
Wang, Tianwei, Zhu, Yuanzhi, Jin, Lianwen, Luo, Canjie, Chen, Xiaoxue, Wu, Yaqiang, Wang, Qianying, Cai, Mingxiang
Text recognition has attracted considerable research interests because of its various applications. The cutting-edge text recognition methods are based on attention mechanisms. However, most of attention methods usually suffer from serious alignment
Externí odkaz:
http://arxiv.org/abs/1912.10205
Akademický článek
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Publikováno v:
In Composites Part B September 2022 244