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Joint hyperbolic and Euclidean geometry contrastive graph neural networks 期刊论文
INFORMATION SCIENCES, 2022, 卷号: 609, 页码: 799-815
作者:  Xu, Xiaoyu;  Pang, Guansong;  Wu, Di;  Shang, Mingsheng
收藏  |  浏览/下载:98/0  |  提交时间:2022/10/14
Graph neural networks  Hyperbolic embedding  Contrastive learning  Graph representation learning  
A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 3, 页码: 909-920
作者:  Wu, Di;  Luo, Xin;  Wang, Guoyin;  Shang, Mingsheng;  Yuan, Ye;  Yan, Huyong
收藏  |  浏览/下载:212/0  |  提交时间:2018/06/04
Differential evolution (DE)  general framework  industrial application  positioning optimization  self-labeled  semi-supervised classification (SSC)  
Self-training semi-supervised classification based on density peaks of data 期刊论文
NEUROCOMPUTING, 2018, 卷号: 275, 页码: 180-191
作者:  Wu, Di;  Shang, Mingsheng;  Luo, Xin;  Xu, Ji;  Yan, Huyong;  Deng, Weihui;  Wang, Guoyin
收藏  |  浏览/下载:165/0  |  提交时间:2018/03/05
Density peaks  Self-training  Semi-supervised classification  Supervised learning  
An inherently nonnegative latent factor model for high-dimensional and sparse matrices from industrial applications 期刊论文
IEEE Transactions on Industrial Informatics, 2018, 卷号: 14, 期号: 5, 页码: 2011-2022
作者:  Luo, Xin;  Zhou, Mengchu;  Li, Shuai;  Shang, Mingsheng
Adobe PDF(805Kb)  |  收藏  |  浏览/下载:414/0  |  提交时间:2019/06/26
A self-training semi-supervised classification algorithm based on density peaks of data and differential evolution 会议论文
15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018, Zhuhai, China, March 27, 2018 - March 29, 2018
作者:  Wu, Di;  Shang, Mingsheng;  Wang, Guoyin;  Li, Li
收藏  |  浏览/下载:124/0  |  提交时间:2019/06/25
Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 期号: 6, 页码: 3098-3107
作者:  Luo, Xin;  Sun, Jianpei;  Wang, Zidong;  Li, Shuai;  Shang, Mingsheng
Adobe PDF(803Kb)  |  收藏  |  浏览/下载:426/0  |  提交时间:2018/03/05
Big data application  high-dimensional, and sparse (SHiDS) matrix  nonnegative latent factor (NLF) model  symmetry  undirected HiDS network  
Water eutrophication evaluation based on semi-supervised classification: A case study in Three Gorges Reservoir 期刊论文
ECOLOGICAL INDICATORS, 2017, 卷号: 81, 页码: 362-372
作者:  Wu, Di;  Yan, Huyong;  Shang, Mingsheng;  Shan, Kun;  Wang, Guoyin
收藏  |  浏览/下载:128/0  |  提交时间:2018/03/05
Semi-supervised Classification  Eutrophication Evaluation  Three Gorges Reservoir  
Performance of latent factor models with extended linear biases 期刊论文
Knowledge-Based Systems, 2017, 卷号: 123, 页码: 128-136
作者:  Chen, Jia;  Luo, Xin;  Yuan, Ye;  Shang, Mingsheng;  Ming, Zhong;  Xiong, Zhang
Adobe PDF(2755Kb)  |  收藏  |  浏览/下载:96/0  |  提交时间:2018/03/16