Zobrazeno 1 - 10
of 633
pro vyhledávání: '"Wang, Shuliang"'
Multimodal data has become a crucial element in the realm of big data analytics, driving advancements in data exploration, data mining, and empowering artificial intelligence applications. To support high-quality retrieval for these cutting-edge appl
Externí odkaz:
http://arxiv.org/abs/2408.16237
Autor:
Fang, Lanting, Yang, Yulian, Wang, Kai, Feng, Shanshan, Feng, Kaiyu, Gui, Jie, Wang, Shuliang, Ong, Yew-Soon
While dynamic graph neural networks have shown promise in various applications, explaining their predictions on continuous-time dynamic graphs (CTDGs) is difficult. This paper investigates a new research task: self-interpretable GNNs for CTDGs. We ai
Externí odkaz:
http://arxiv.org/abs/2405.19062
Missing datasets, in which some objects have missing values in certain dimensions, are prevalent in the Real-world. Existing clustering algorithms for missing datasets first impute the missing values and then perform clustering. However, both the imp
Externí odkaz:
http://arxiv.org/abs/2404.05363
Objective Information Theory (OIT) is proposed to represent and compute the information in a large-scale complex information system with big data in this monograph. To formally analyze, design, develop, and evaluate the information, OIT interprets th
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/62455
Construction of dictionaries using nonnegative matrix factorisation (NMF) has extensive applications in signal processing and machine learning. With the advances in deep learning, training compact and robust dictionaries using deep neural networks, i
Externí odkaz:
http://arxiv.org/abs/2301.07272
Autor:
Guo, Liang, Chen, Ping, Huang, Chao, Zhang, Jianqiang, Xue, Yan, Zhang, Xinran, Tang, Jiayi, Wang, Shuliang, Wang, Hu
Publikováno v:
In International Journal of Electrochemical Science September 2024 19(9)
Autor:
Xu, Jianfeng, Liu, Zhenyu, Wang, Shuliang, Zheng, Tao, Wang, Yashi, Wang, Yingfei, Qiao, Yongjie, Dang, Yingxu
This article firstly reviews and summarizes the rapid development of information technology, characterized by the close combination of computer and network communication, which leads to a series of investigations, including the analyses of the import
Externí odkaz:
http://arxiv.org/abs/2112.15505
Publikováno v:
In Corrosion Science 1 May 2024 231
Land cover maps are of vital importance to various fields such as land use policy development, ecosystem services, urban planning and agriculture monitoring, which are mainly generated from remote sensing image classification techniques. Traditional
Externí odkaz:
http://arxiv.org/abs/2107.12016
Most of the existing deep learning-based sequential recommendation approaches utilize the recurrent neural network architecture or self-attention to model the sequential patterns and temporal influence among a user's historical behavior and learn the
Externí odkaz:
http://arxiv.org/abs/2107.05235