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Proximal Alternating-Direction-Method-of-Multipliers-Incorporated Nonnegative Latent Factor Analysis 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406
作者:  Bi, Fanghui;  Luo, Xin;  Shen, Bo;  Dong, Hongli;  Wang, Zidong
收藏  |  浏览/下载：13/0  |  提交时间：2023/12/25
Data science  high-dimensional and incomplete data  knowledge acquisition  industrial application  nonnegative latent factor analysis(NLFA)  proximal alternating direction method of multipliers  representation learning  
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  
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis 期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 5, 页码: 2809-2823
作者:  Luo, Xin;  Zhou, Yue;  Liu, Zhigang;  Hu, Lun;  Zhou, MengChu
收藏  |  浏览/下载：75/0  |  提交时间：2022/12/26
Computational modeling  Acceleration  Sparse matrices  Adaptation models  Training  Data models  Convergence  Services computing  service application  big data  latent factor analysis  non-negative latent factor model  high-dimensional and sparse matrix  recommender system  missing data  
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：59/0  |  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：79/0  |  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  
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：52/0  |  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)  
Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems 期刊论文
NEUROCOMPUTING, 2021, 卷号: 421, 页码: 316-328
作者:  Chen, Jiufang;  Yuan, Ye;  Ruan, Tao;  Chen, Jia;  Luo, Xin
收藏  |  浏览/下载：73/0  |  提交时间：2021/02/24
Big Data  Intelligent Computation  Latent Factor Analysis  Evolutionary Computing  Learning Algorithm  High-dimensional and Sparse Data  Parameter Free  
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：211/0  |  提交时间：2019/01/17
Big data  Recommender systems  Collaborative filtering  Latent factor analysis  Elastic-net  Regularization  Latent factor distribution  
Extensive exploration of comprehensive vehicle attributes using D-CNN with weighted multi-attribute strategy 期刊论文
IET INTELLIGENT TRANSPORT SYSTEMS, 2018, 卷号: 12, 期号: 3, 页码: 186-193
作者:  Yan, Zhuo;  Feng, Youji;  Cheng, Cheng;  Fu, Jianting;  Zhou, Xiangdong;  Yuan, Jiahu
Adobe PDF(3776Kb)  |  收藏  |  浏览/下载：237/0  |  提交时间：2018/06/04
Object Recognition  Feedforward Neural Nets  Learning (Artificial Intelligence)  Comprehensive Vehicle Attributes  D-cnn  Weighted Multiattribute Strategy  Deep Convolutional Neural Network  Surveillance Images  Vehicle Model Recognition  Make Recognition  Mtl Methods  Multitask Learning  Compcars Vehicle Dataset  Manufacturer Recognition  
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