Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Li, Shelei"'
Graph Convolutional Network (GCN) are widely used in Graph Anomaly Detection (GAD) due to their natural compatibility with graph structures, resulting in significant performance improvements. However, most researchers approach GAD as a graph node cla
Externí odkaz:
http://arxiv.org/abs/2411.01817
Publikováno v:
In Computers and Electrical Engineering September 2023 110
Autor:
Yang, Boxiong, Gan, Lin, Li, Shelei, Zhou, Bo, Yang, Tingting, Liu, Xiaofei, Xiong, Chun, Zou, Jiaxue
Publikováno v:
In Cognitive Robotics 2023 3:284-292
Autor:
Yang, Boxiong, Ali, Faizan, Zhou, Bo, Li, Shelei, Yu, Ying, Yang, Tingting, Liu, Xiaofei, Liang, Zhiyong, Zhang, Kaicun
Publikováno v:
In Computers and Electrical Engineering April 2022 99
Publikováno v:
In Cognitive Robotics 2022 2:255-266
Publikováno v:
In Computers and Electrical Engineering June 2021 92
Autor:
CHEN Xiaoyong, YANG Boxiong, ZHAO Shuai, SUN Peng, XIAO Heng, LI Shelei, LIANG Zhiyong, GAN Lin
Publikováno v:
Chinese Evidence-based Nursing; Mar2023, Vol. 9 Issue 5, p843-852, 10p
Autor:
Lu, Huimin, Zheng, Yuchao, Cai, Jintong, Li, Shelei, Zhou, Bo, Yang, Boxiong, Ali, Faizan, Liang, Zhiyong
Publikováno v:
Proceedings of SPIE; December 2022, Vol. 12508 Issue: 1 p125080R-125080R-10, 12382931p
Autor:
Li Shelei, Huang Mengxing
Publikováno v:
2018 International Conference on Intelligent Autonomous Systems (ICoIAS).
In this paper, the basic theory of geometric active contour model was studied, for the degradation problems of low contrast, fuzzy and color distortion of underwater image data. Combined with the problem of underwater image degradation caused by unev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28a3cc7fa8622bf107cc11d61e3a404d
https://doi.org/10.1109/icoias.2018.8493956
https://doi.org/10.1109/icoias.2018.8493956
Publikováno v:
Proceedings of SPIE; 4/21/2023, Vol. 12508, p125080R-125080R-10, 1p