Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Wen'an Zhou"'
Publikováno v:
IET Computer Vision, Vol 13, Iss 7, Pp 659-665 (2019)
Deep learning is a powerful tool for domain adaptation by learning robust high‐level domain invariant representations. Recently, adversarial domain adaptation models are applied to learn representations with adversarial training manners in feature
Externí odkaz:
https://doaj.org/article/85a60afaa2b04078a0229cf6f6434ed7
Publikováno v:
IEEE Access, Vol 7, Pp 181100-181116 (2019)
Mobile edge computing (MEC) is becoming a promising paradigm to provide computing services for smart mobile devices (SMDs) via offloading computation-intensive tasks to MEC servers deployed at the network edge. In this paper, in order to further impr
Externí odkaz:
https://doaj.org/article/456883b4f8de4047accd27734251ce47
Autor:
Wen'An Zhou, Qiang Zhou
Publikováno v:
IEEE Access, Vol 7, Pp 113801-113809 (2019)
Clustering methods based on deep neural networks have been extensively studied and applied in data mining. Most existing unsupervised deep embedded clustering methods jointly learn feature representations and cluster assignments with deep neural netw
Externí odkaz:
https://doaj.org/article/795529b648d74df295f16d57327e30a8
Publikováno v:
IEEE Access, Vol 7, Pp 156686-156693 (2019)
Knowledge Graph (KG) embedding aims to represent both entities and relations into a continuous low-dimensional vector space. Most previous attempts perform the embedding task using only knowledge triples to indicate relations between entities. Entity
Externí odkaz:
https://doaj.org/article/25e92485823640bfa1f0cdd78d333b55
Publikováno v:
IEEE Access, Vol 5, Pp 18765-18777 (2017)
Machine-to-machine (M2M) communication is a system that allows information interaction between machines independently and automatically through a network without human intervention. However, when massive M2M devices access the network, they can quick
Externí odkaz:
https://doaj.org/article/0d7e4ec8f7b8455680a19de00235d0c8
Publikováno v:
Peer-to-Peer Networking and Applications. 16:606-628
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::540d48286651ad0698bdc1017f167ce4
https://doi.org/10.1007/s12083-022-01411-7
https://doi.org/10.1007/s12083-022-01411-7
Publikováno v:
Peer-to-Peer Networking and Applications. 16:170-188
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de1614b5839459803ff1ad4af6b76e0a
https://doi.org/10.1007/s12083-022-01348-x
https://doi.org/10.1007/s12083-022-01348-x
Publikováno v:
Neurocomputing. 454:313-323
Domain adaptation methods aim at learning transferable model for the unlabeled target domain. Recently, extensive domain adaptation models are proposed to align representations by minimizing distribution distance between different domains or adversar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c66b2dad76ed96cc5364e1607ea3718
https://doi.org/10.1016/j.neucom.2021.05.041
https://doi.org/10.1016/j.neucom.2021.05.041
Publikováno v:
Peer-to-Peer Networking and Applications. 15:56-76
To make the network provide a better Quality-of-Service (QoS) guarantee for compute-intensive applications, many researchers study Device-to-Device (D2D) based Multi-access Edge Computing (MEC) for reducing computing task completion time and energy c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78f3ed2e06b289f95ad6523066ffcf72
https://doi.org/10.1007/s12083-021-01203-5
https://doi.org/10.1007/s12083-021-01203-5
Publikováno v:
Neural Processing Letters. 52:1109-1121
The internal structural information of words has proven to be very effective for learning Chinese word embeddings. However, most previous attempts made a single form extraction of internal feature to learn representations, ignoring the comprehensive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b7c28b4859de16031350d539e08e300
https://doi.org/10.1007/s11063-020-10289-6
https://doi.org/10.1007/s11063-020-10289-6