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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  
Neulft: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 6, 页码: 6148-6166
作者:  Luo, Xin;  Wu, Hao;  Li, Zechao
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/25
Tensors  Data models  Computational modeling  Adaptation models  Training  Artificial neural networks  Neurons  Nonlinear tensor model  Big Data  high-dimensional and incomplete tensor  latent factorization of tensors  hyper-parameter adaptation  
Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2023, 卷号: 10, 期号: 5, 页码: 1105-1121
作者:  Zhou, Yue;  Luo, Xin;  Zhou, MengChu
收藏  |  浏览/下载：10/0  |  提交时间：2023/12/25
Measurement  Systematics  Protocols  Big Data  Market research  Cryptocurrency  Blockchains  Big data analysis  cryptocurrency transaction network embedding (CTNE)  dynamic network  network embedding  network representation  static network  
Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 6, 页码: 1524-1536
作者:  Chen, Jia;  Luo, Xin;  Zhou, Mengchu
收藏  |  浏览/下载：61/0  |  提交时间：2022/12/26
Adaptation models  Optimization  Convergence  Computational modeling  Sparse matrices  Particle swarm optimization  Big Data  Big data  latent factor analysis  particle swarm optimization  high-dimensional and sparse matrix  large-scale incomplete data  missing data estimation  industrial application  
Single-cell technologies: From research to application 期刊论文
INNOVATION-THE EUROPEAN JOURNAL OF SOCIAL SCIENCE RESEARCH, 2022, 卷号: 3, 期号: 6, 页码: 17
作者:  Wen, Lu;  Li, Guoqiang;  Huang, Tao;  Geng, Wei;  Pei, Hao;  Yang, Jialiang;  Zhu, Miao;  Zhang, Pengfei;  Hou, Rui;  Tian, Geng;  Su, Wentao;  Chen, Jian;  Zhang, Dake;  Zhu, Pingan;  Zhang, Wei;  Zhang, Xiuxin;  Zhang, Ning;  Zhao, Yunlong;  Cao, Xin;  Peng, Guangdun;  Ren, Xianwen;  Jiang, Nan;  Tian, Caihuan;  Chen, Zi-Jiang
收藏  |  浏览/下载：51/0  |  提交时间：2022/12/26
Multi-scale change monitoring of water environment using cloud computing in optimal resolution remote sensing images 期刊论文
ENERGY REPORTS, 2022, 卷号: 8, 页码: 13610-13620
作者:  Feng, Lei;  You, Yu;  Liao, Weiling;  Pang, Jiawei;  Hu, Ronghao;  Feng, Li
收藏  |  浏览/下载：44/0  |  提交时间：2022/12/26
Cloud computing  Remote sensing image  Water resource  Environmental monitoring  
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：76/0  |  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  
Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 2, 页码: 420-431
作者:  Shi, Xiaoyu;  He, Qiang;  Luo, Xin;  Bai, Yanan;  Shang, Mingsheng
收藏  |  浏览/下载：70/0  |  提交时间：2022/08/22
Recommender systems  Training  Optimization  Big Data  Cloud computing  Computational modeling  Sparse matrices  Recommender system  latent factor analysis  high-dimensional and sparse matrices  alternative stochastic gradient descent  distributed computing  
Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations 期刊论文
INFORMATION SCIENCES, 2022, 卷号: 588, 页码: 106-123
作者:  Wang, Guancheng;  Hao, Zhihao;  Zhang, Bob;  Jin, Long
收藏  |  浏览/下载：52/0  |  提交时间：2022/08/22
Recurrent neural network  dynamic Lyapunov equations  Bounded activation functions  Finite-time convergence  Robustness  
Growing Echo State Network With an Inverse-Free Weight Update Strategy 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12
作者:  Chen, Xiufang;  Luo, Xin;  Jin, Long;  Li, Shuai;  Liu, Mei
收藏  |  浏览/下载：62/0  |  提交时间：2022/08/22
Reservoirs  Training  Computational modeling  Neurons  Topology  Standards  Numerical models  Echo state network (ESN)  inverse-free algorithm  incremental scheme  Schur complement  Sherman-Morrison formula