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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：212/0  |  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  
Wavelet Denoising Algorithm Based on NDOA Compressed Sensing for Fluorescence Image of Microarray 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 13338-13346
作者:  Gan, Zhenhua;  Zou, Fumin;  Zeng, Nianyin;  Xiong, Baoping;  Liao, Lyuchao;  Li, Han;  Luo, Xin;  Du, Min
Adobe PDF(5435Kb)  |  收藏  |  浏览/下载：159/0  |  提交时间：2019/03/25
Compressed sensing  wavelet denoising  DNA microarray  image filtering  NDOA  
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：507/0  |  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：414/0  |  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：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  
Coarse cluster enhancing collaborative recommendation for social network systems 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 卷号: 483, 页码: 209-218
作者:  Zhao, Yao-Dong;  Cai, Shi-Min;  Tang, Ming;  Shang, Min-Sheng
Adobe PDF(909Kb)  |  收藏  |  浏览/下载：100/0  |  提交时间：2018/03/05
Recommender system  Social network system  Social tagging system  Tripartite graph  Time complexity  Collaborative user model  
Highly Efficient Framework for Predicting Interactions Between Proteins 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 3, 页码: 731-743
作者:  You, Zhu-Hong;  Zhou, MengChu;  Luo, Xin;  Li, Shuai
Adobe PDF(1407Kb)  |  收藏  |  浏览/下载：218/0  |  提交时间：2018/03/15
Big data  feature extraction  kernel extreme learning machine (K-ELM)  low-rank approximation (LRA)  protein-protein interactions (PPIs)  support vector machine (SVM)  
Efficient extraction of non-negative latent factors from high-dimensional and sparse matrices in industrial applications 会议论文
16th IEEE International Conference on Data Mining, ICDM 2016, Barcelona, Catalonia, Spain, December 12, 2016 - December 15, 2016
作者:  Luo, Xin;  Shang, Mingsheng;  Li, Shuai
收藏  |  浏览/下载：55/0  |  提交时间：2018/03/16