Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Junsan Zhang"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 4493-4506 (2024)
Abstract In recent years, graph neural networks (GNNs) have been widely applied in recommender systems. However, existing recommendation algorithms based on GNNs still face challenges in node aggregation and feature extraction processes because they
Externí odkaz:
https://doaj.org/article/6bc083acc3c849cfb32d05fcbc890655
Autor:
Junsan Zhang, Li Zhao, Hongzhao Jiang, Shigen Shen, Jian Wang, Peiying Zhang, Wei Zhang, Leiquan Wang
Publikováno v:
Remote Sensing, Vol 15, Iss 12, p 2990 (2023)
In recent years, hyperspectral image classification techniques have attracted a lot of attention from many scholars because they can be used to model the development of different cities and provide a reference for urban planning and construction. How
Externí odkaz:
https://doaj.org/article/2f52b3f8175a4bcfbd7200faa4a95e1a
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 1, Pp 86-94 (2020)
The traditional Internet has encountered a bottleneck in allocating network resources for emerging technology needs. Network virtualization (NV) technology as a future network architecture, the virtual network embedding (VNE) algorithm it supports sh
Externí odkaz:
https://doaj.org/article/86a2a439a5c74a7f8634f13da2c09041
Publikováno v:
Neurocomputing. 533:191-205
Autor:
Junsan Zhang, Xiuxuan Shen, Shaohua Wan, Sotirios K. Goudos, Jie Wu, Ming Cheng, Weishan Zhang
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. :1-12
Autor:
Wang, Junsan Zhang, Li Zhao, Hongzhao Jiang, Shigen Shen, Jian Wang, Peiying Zhang, Wei Zhang, Leiquan
Publikováno v:
Remote Sensing; Volume 15; Issue 12; Pages: 2990
In recent years, hyperspectral image classification techniques have attracted a lot of attention from many scholars because they can be used to model the development of different cities and provide a reference for urban planning and construction. How
Publikováno v:
Neurocomputing. 542:126279
Publikováno v:
International Journal of Machine Learning and Cybernetics. 13:1-9
Deep hashing has been widely applied in large scale image retrieval due to its high computation efficiency and retrieval performance. Recently, training deep hashing networks with a triplet ranking loss become a common framework. However, most of the
Autor:
Zhongyuan Jiang, Philip S. Yu, Junsan Zhang, Jianfeng Ma, Zehua Zhang, Hui Yan, Chen Xianyu, Bowen Dong, Jibing Gong
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 67:1139-1143
Community phenomenon is ubiquitous in our social activities. For instance, in a football match, the players are divided into two disjoint teams (i.e., communities) in which the ball is frequently forwarded from one player to another, generating many