Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Linchao Zhu"'
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
PurposeMyocardial injury, as a serious complication of coronavirus disease-2019 (COVID-19), increases the occurrence of adverse outcomes. Identification of key regulatory molecules of myocardial injury may help formulate corresponding treatment strat
Externí odkaz:
https://doaj.org/article/2c636e74431d4b3ea2d9f2d5f04081b1
Publikováno v:
BMC Medical Genomics, Vol 14, Iss 1, Pp 1-15 (2021)
Abstract Background Polycystic ovary syndrome (PCOS) is not only a kind of common endocrine syndrome but also a metabolic disorder, which harms the reproductive system and the whole body metabolism of the PCOS patients worldwide. In this study, we ai
Externí odkaz:
https://doaj.org/article/816eaa3d5346457c92dcf6cd6d798f0c
Publikováno v:
BMC Medical Genomics, Vol 14, Iss 1, Pp 1-15 (2021)
Abstract Background The aim of this study was to apply proteomic methodology for the analysis of proteome changes in women with polycystic ovary syndrome (PCOS). Material and methods All the participators including 31 PCOS patients and 31 healthy fem
Externí odkaz:
https://doaj.org/article/29abe860d4414fcf9b8b283c0e678aa9
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45:6605-6617
In this paper, we propose to tackle egocentric action recognition by suppressing background distractors and enhancing action-relevant interactions. The existing approaches usually utilize two independent branches to recognize egocentric actions, i.e.
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 19:1-18
It is crucial to sample a small portion of relevant frames for efficient video classification. The existing methods mainly develop hand-designed sampling strategies or learn sequential selection policies. However, there are two challenges to be solve
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-11
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-13
In real-world scenarios, collected and annotated data often exhibit the characteristics of multiple classes and long-tailed distribution. Additionally, label noise is inevitable in large-scale annotations and hinders the applications of learning-base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41f7530376364394d56a313494a6ea92
http://arxiv.org/abs/2307.00880
http://arxiv.org/abs/2307.00880
Publikováno v:
Biomass Conversion and Biorefinery.
Autor:
Juncheng Li, Siliang Tang, Linchao Zhu, Wenqiao Zhang, Yi Yang, Tat-Seng Chua, Fei Wu, Yueting Zhuang
Temporal grounding is the task of locating a specific segment from an untrimmed video according to a query sentence. This task has achieved significant momentum in the computer vision community as it enables activity grounding beyond pre-defined acti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f490fa0e9d71eb65d7ff02a960aec9c
http://arxiv.org/abs/2301.09071
http://arxiv.org/abs/2301.09071