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A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 15
作者:  Liu, Zhigang;  Yi, Yugen;  Luo, Xin
收藏  |  浏览/下载：512/0  |  提交时间：2023/04/06
Detectors  Symmetric matrices  Indexes  Training  Probability  Network analyzers  Frequency measurement  Learning system  network representation learning  community detection  nonnegative matrix factorization  symmetric model  capacity  graph regularization  
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection 期刊论文
INFORMATION FUSION, 2023, 卷号: 89, 页码: 588-602
作者:  Liu, Zhigang;  Luo, Xin;  Wang, Zidong;  Liu, Xiaohui
收藏  |  浏览/下载：83/0  |  提交时间：2022/12/26
Undirected Network  Social Network  Information Fusion  Network Representation Learning  Community Detection  Nonnegative Matrix Factorization  Symmetry -regularization  Multiple Constraints  
Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Luo, Xin;  Liu, Zhigang;  Jin, Long;  Zhou, Yue;  Zhou, MengChu
收藏  |  浏览/下载：51/0  |  提交时间：2022/08/22
Detectors  Convergence  Symmetric matrices  Social networking (online)  Analytical models  Tuning  Computational modeling  Community detection  convergence analysis  graph regularization  nonnegative multiplicative update (NMU)  social network analysis  symmetric and nonnegative matrix factorization (SNMF)  
Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 5, 页码: 3006-3017
作者:  Song, Yan;  Li, Ming;  Luo, Xin;  Yang, Guisong;  Wang, Chongjing
收藏  |  浏览/下载：111/0  |  提交时间：2020/08/24
Computational modeling  Sparse matrices  Biological system modeling  Symmetric matrices  Matrix decomposition  Linear programming  Convergence  Big data  data analysis  latent factor  nonnegativity  sparse and large-scaled network  symmetry  triple-factorization  undirected  
Elastic-net regularized latent factor analysis-based models for recommender systems 期刊论文
NEUROCOMPUTING, 2019, 卷号: 329, 页码: 66-74
作者:  Wang, Dexian;  Chen, Yanbin;  Guo, Junxiao;  Shi, Xiaoyu;  He, Chunlin;  Luo, Xin;  Yuan, Huaqiang
Adobe PDF(1965Kb)  |  收藏  |  浏览/下载：210/0  |  提交时间：2019/01/17
Big data  Recommender systems  Collaborative filtering  Latent factor analysis  Elastic-net  Regularization  Latent factor distribution  
Quantitative Analysis of Immunochromatographic Strip Based on Convolutional Neural Network 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 16257-16263
作者:  Zeng, Nianyin;  Li, Han;  Li, Yurong;  Luo, Xin
Adobe PDF(4383Kb)  |  收藏  |  浏览/下载：165/0  |  提交时间：2019/03/25
Gold immunochromatographic strip  quantitative analysis  image segmentation  CNN  
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
收藏  |  浏览/下载：505/0  |  提交时间：2018/07/02
Big data  high-dimensional and sparse matrix  learning algorithms  missing-data estimation  nonnegative latent factor analysis  optimization methods recommender system  
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications 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:  Chen, Jia;  Luo, Xin
Adobe PDF(5259Kb)  |  收藏  |  浏览/下载：129/0  |  提交时间：2019/06/25
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：413/0  |  提交时间：2019/06/26
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：425/0  |  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