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Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 1, 页码: 92-107
Authors:  Qin, Wen;  Luo, Xin;  Zhou, Mengchu
Favorite  |  View/Download:10/0  |  Submit date:2024/05/06
Parallel algorithm  industrial application  latent feature analysis  high-dimensional and incomplete data  stochastic gradient descent  parallelization shared-memory  data science  
Asynchronous Parallel Fuzzy Stochastic Gradient Descent for High-Dimensional Incomplete Data Representation 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2024, 卷号: 32, 期号: 2, 页码: 445-459
Authors:  Qin, Wen;  Luo, Xin
Favorite  |  View/Download:10/0  |  Submit date:2024/05/06
Training  Representation learning  Data models  Stochastic processes  Computational modeling  Analytical models  Proteins  Asynchronous parallelization  fuzzy optimization  high-dimensional incomplete (HDI) data  latent feature analysis (LFA)  shared-memory  stochastic gradient descent (SGD)  
Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 页码: 14
Authors:  Luo, Xin;  Chen, Jiufang;  Yuan, Ye;  Wang, Zidong
Favorite  |  View/Download:54/0  |  Submit date:2024/02/23
High-dimensional and incomplete (HDI) data  hyperparameter adaptation  latent factor analysis (LFA)  network representation  particle swarm optimization (PSO)  
A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 15
Authors:  Li, Jinli;  Luo, Xin;  Yuan, Ye;  Gao, Shangce
Favorite  |  View/Download:186/0  |  Submit date:2023/12/25
High-dimensional and incomplete data  latent factor analysis  stochastic gradient descent  nonlinear proportional integral derivation  particle swarm optimization  parameter adaptation  
Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High-Dimensional and Incomplete Industrial Data 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 14
Authors:  Qin, Wen;  Luo, Xin;  Li, Shuai;  Zhou, MengChu
Favorite  |  View/Download:18/0  |  Submit date:2023/12/25
Adaptation models  Training  Data models  Convergence  Stochastic processes  Sparse matrices  Tuning  Big data  latent factor analysis  Index Terms  adaptive model  parallelization  machine learning  stochastic gradient descent  high-dimensional and incomplete matrix  
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
Authors:  Chen, Jia;  Luo, Xin;  Zhou, Mengchu
Favorite  |  View/Download:68/0  |  Submit date: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  
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794
Authors:  Yuan, Ye;  He, Qiang;  Luo, Xin;  Shang, Mingsheng
Favorite  |  View/Download:79/0  |  Submit date:2022/08/22
Computational modeling  Sparse matrices  Big Data  Data models  Stochastic processes  Training  Software algorithms  Big data  latent factor analysis  generally multilayered structure  deep forest  multilayered extreme learning machine  randomized-learning  high-dimensional and sparse matrix  stochastic gradient descent  randomized model  
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
Authors:  Shi, Xiaoyu;  He, Qiang;  Luo, Xin;  Bai, Yanan;  Shang, Mingsheng
Favorite  |  View/Download:75/0  |  Submit date: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  
Adjusted stochastic gradient descent for latent factor analysis 期刊论文
INFORMATION SCIENCES, 2022, 卷号: 588, 页码: 196-213
Authors:  Li, Qing;  Xiong, Diwen;  Shang, Mingsheng
Favorite  |  View/Download:53/0  |  Submit date:2022/08/22
Big data analysis  High-dimensional and incomplete matrix  Stochastic gradient descent  Latent factor analysis  Gradient adjustment  Adaptive model  Particle swarm optimization  Local optima  
A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 3, 页码: 533-546
Authors:  Wu, Hao;  Luo, Xin;  Zhou, MengChu;  Rawa, Muhyaddin J.;  Sedraoui, Khaled;  Albeshri, Aiiad
Favorite  |  View/Download:57/0  |  Submit date:2022/08/22
Big data  high dimensional and incomplete (HDI) tensor  latent factorization-of-tensors (LFT)  machine learning  missing data  optimization  proportional-integral-derivative (PID) controller