Zobrazeno 1 - 10
of 422
pro vyhledávání: '"Rongrong, Ji"'
Autor:
Tao Chen, Lamei Li, Feng Li, Wei Lu, Ganwei Shi, Wenhua Li, Anni Yang, Hui Huang, Jianqiang Xiao, Qiuwei Zhang, Jun Gu, Sheliang Xue, Liuyan Zhang, Li Li, Lingxia Xu, Rongrong Ji, Haibo Wang, Gaojun Cai
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-13 (2024)
Abstract Background The distal transradial access (dTRA) has become an attractive and alternative access to the conventional transradial access (TRA) for cardiovascular interventional diagnosis and/or treatment. There was a lack of randomized clinica
Externí odkaz:
https://doaj.org/article/1ce940d1628a4a709b3dc516f7ac4b99
Autor:
Yan Niu, Jia Rui, Qiupeng Wang, Wei Zhang, Zhiwei Chen, Fang Xie, Zeyu Zhao, Shengnan Lin, Yuanzhao Zhu, Yao Wang, Jingwen Xu, Xingchun Liu, Meng Yang, Wei Zheng, Kaixin Chen, Yilan Xia, Lijuan Xu, Shi Zhang, Rongrong Ji, Taisong Jin, Yong Chen, Benhua Zhao, Yanhua Su, Tie Song, Tianmu Chen, Guoqing Hu
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
Background: It is much valuable to evaluate the comparative effectiveness of the coronavirus disease 2019 (COVID-19) prevention and control in the non-pharmacological intervention phase of the pandemic across countries and identify useful experiences
Externí odkaz:
https://doaj.org/article/39e989849a6b46ef928900c98675d80c
Publikováno v:
IEEE Access, Vol 7, Pp 7555-7564 (2019)
Smart campus builds on characteristic learning and feedback evaluation of diverse students and aims to enable intelligent, accurate, and customized education. Mining social media data, especially topic modeling, from students, provides a non-intrusiv
Externí odkaz:
https://doaj.org/article/a6e2b7a0de344b10b0aa04897c9ecf74
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 33:1740-1751
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb9cffaadb6b4810436ac698180f773a
https://doi.org/10.1109/tcsvt.2022.3214222
https://doi.org/10.1109/tcsvt.2022.3214222
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 33:1671-1683
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2d7ebe56c5365925994235f36066698
https://doi.org/10.1109/tcsvt.2022.3212987
https://doi.org/10.1109/tcsvt.2022.3212987
Autor:
Rongrong Ji
Publikováno v:
Fundamental Research, Vol 1, Iss 6, Pp 844-845 (2021)
Towards the end of 2012, artificial intelligence (AI) scientists first figured out how to impart “vision” to neural networks. Later, they also mastered how to enable neural networks to mimic human reasoning, hearing, speaking, and writing. Althou
Externí odkaz:
https://doaj.org/article/3b6a645b9e1a49a5a2aafeb3abf6fb99
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-11
The mainstream approach for filter pruning is usually either to force a hard-coded importance estimation upon a computation-heavy pretrained model to select "important" filters, or to impose a hyperparameter-sensitive sparse constraint on the loss ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6c24cbca62649a5d3a485e2272539f3
https://doi.org/10.1109/tpami.2023.3259402
https://doi.org/10.1109/tpami.2023.3259402
Autor:
Jipeng Wu, Rongrong Ji, Qiang Wang, Shengchuan Zhang, Xiaoshuai Sun, Yan Wang, Mingliang Xu, Feiyue Huang
Publikováno v:
IEEE Transactions on Multimedia. 25:1204-1216
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eff77a39726c59b33082c4e413162f0e
https://doi.org/10.1109/tmm.2021.3140001
https://doi.org/10.1109/tmm.2021.3140001
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-12
A resource-adaptive supernet adjusts its subnets for inference to fit the dynamically available resources. In this paper, we propose prioritized subnet sampling to train a resource-adaptive supernet, termed PSS-Net. We maintain multiple subnet pools,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd339eaaff633aa0590188c511d43ac1
https://doi.org/10.1109/tpami.2023.3265198
https://doi.org/10.1109/tpami.2023.3265198
Publikováno v:
IEEE Access, Vol 6, Pp 54536-54541 (2018)
This paper presents a 3-D surface saliency feature detection method, which can measure the importance geometry region of the point clouds. Different from existing approaches that are based on 3-D filter banks, the new method first constructs the curv
Externí odkaz:
https://doaj.org/article/75ff2a783bec4ad68c0df40ddde2c4dc