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Advancing Non-Negative Latent Factorization of Tensors With Diversified Regularization Schemes 期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 3, 页码: 1334-1344
作者:  Wu, Hao;  Luo, Xin;  Zhou, Mengchu
收藏  |  浏览/下载：64/0  |  提交时间：2022/08/22
High-dimensional and sparse tensor  missing data  latent factor analysis  temporal pattern  non-negativity  non-negative latent factorization of tensor  regularization  ensemble  services computing  
Diversified Regularization Enhanced Training for Effective Manipulator Calibration 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:  Li, Zhibin;  Li, Shuai;  Bamasag, Omaimah Omar;  Alhothali, Areej;  Luo, Xin
收藏  |  浏览/下载：60/0  |  提交时间：2022/08/22
Robots  Robot kinematics  Calibration  Service robots  Robot sensing systems  Kinematics  End effectors  Absolute positioning accuracy  ensemble  kinematic parameters  overfitting  regularization scheme  robot arms  
An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 6, 页码: 3522-3532
作者:  Luo, Xin;  Wang, Zidong;  Shang, Mingsheng
收藏  |  浏览/下载：82/0  |  提交时间：2021/08/20
High-dimensional and sparse (HiDS) data  industrial application  instance-frequency  non-negative latent factor analysis (NLFA)  recommender system  regularization  
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：116/0  |  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  
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：131/0  |  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：416/0  |  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：429/0  |  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  
Empirical analysis of collaborative filtering-based recommenders in temporally evolving systems 会议论文
14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017, Calabria, Italy, May 16, 2017 - May 18, 2017
作者:  Shi, Xiao-Yu;  Luo, Xin;  Shang, Ming-Sheng;  Cai, Xin-Yi
Adobe PDF(752Kb)  |  收藏  |  浏览/下载：103/0  |  提交时间：2018/03/16
Regularizaed extraction of non-negative latent factors from high-dimensional sparse matrices 会议论文
2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, Budapest, Hungary, October 9, 2016 - October 12, 2016
作者:  Luo, Xin;  Li, Shuai;  Zhou, Mengchu
Adobe PDF(764Kb)  |  收藏  |  浏览/下载：90/0  |  提交时间：2018/03/16