Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Zhengyou Xia"'
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2014 (2014)
Recently, microblogging is widely studied by the researchers in the domain of the online social network (OSN). How to evaluate the popularities of microblogging users is an important research field, which can be applied to commercial advertising, use
Externí odkaz:
https://doaj.org/article/250d2b2fb7f04eb987cc78c505a4d879
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
The most current news recommendations are suitable for news which comes from a single news website, not for news from different heterogeneous news websites. Previous researches about news recommender systems based on different strategies have been pr
Externí odkaz:
https://doaj.org/article/6f3c530dbad04e6f889a0aa064bd12d4
Autor:
Junhao Xu, Zhengyou Xia
Publikováno v:
2022 7th International Conference on Intelligent Information Technology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::870c6712af0e945b33ce9a5d7bfd3006
https://doi.org/10.1145/3524889.3524890
https://doi.org/10.1145/3524889.3524890
Autor:
Wei Liu, Zhengyou Xia
Publikováno v:
2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7d5d3b5f73823456f7fddd693e6740f
https://doi.org/10.1109/iciba52610.2021.9688130
https://doi.org/10.1109/iciba52610.2021.9688130
Autor:
Jie Zhang, Zhengyou Xia
Publikováno v:
2021 IEEE 7th International Conference on Big Data Intelligence and Computing (DataCom).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1244b3d5ecb04e500de448802d710d9
https://doi.org/10.1109/datacom53700.2021.00013
https://doi.org/10.1109/datacom53700.2021.00013
Autor:
Zhengyou Xia, Guocheng Wang
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811604782
APWeb/WAIM Workshops
APWeb/WAIM Workshops
The label propagation algorithm is a label-based semi-supervised learning method, which is widely used in the division of large complex communities. This algorithm has the advantages of easy implementation and low complexity, but it also has the disa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffef60c37bb1cbca48e5472c57551405
https://doi.org/10.1007/978-981-16-0479-9_11
https://doi.org/10.1007/978-981-16-0479-9_11
Autor:
Jie Zhang, Zhengyou Xia
Publikováno v:
Web Information Systems and Applications ISBN: 9783030875701
WISA
WISA
Community detection is an enduring research hotspot in the field of complex networks. The label propagation algorithm is a semi-supervised learning method, which has the advantages of close to linear time complexity, simplicity and ease of implementa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ccb90199506d18f7aeb35d24d83b0de
https://doi.org/10.1007/978-3-030-87571-8_4
https://doi.org/10.1007/978-3-030-87571-8_4
Autor:
Zhengyou Xia, Yuantao Teng
Publikováno v:
MSN
In recent years, the network urgently needs a lot of bandwidth resources to meet the explosive growth of traffic demands. Network operators are also constantly speeding up the routing ports and expanding the link bandwidth, but the network resource u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd6da5e7e9880ea69358302540cbd493
https://doi.org/10.1109/msn50589.2020.00106
https://doi.org/10.1109/msn50589.2020.00106
Autor:
Zhengyou Xia, Qingqing Liu
Publikováno v:
CBD
Natural language generation(NLG) for the network domain is an important part of network public opinion control. Traditional natural language generation systems are based on rules and templates, such methods are suitable in situations where the human
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ccf3a53650209ff8343dc0de662ee56
https://doi.org/10.1109/cbd.2019.00048
https://doi.org/10.1109/cbd.2019.00048
Autor:
Zhengyou Xia, Saisai Liu
Publikováno v:
CBD
Community detection could draw lessons from the population evolution in nature to seek the optimal detection solution. Here we propose an effective genetic algorithm TELGA for community detection based on two-level edge-knowledge learning. The propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83617cab21c7fc20b1e8845ecabdfcd9
https://doi.org/10.1109/cbd.2019.00037
https://doi.org/10.1109/cbd.2019.00037