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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
作者:  Qin, Wen;  Luo, Xin;  Zhou, Mengchu
收藏  |  浏览/下载:22/0  |  提交时间: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
作者:  Qin, Wen;  Luo, Xin
收藏  |  浏览/下载:22/0  |  提交时间: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)  
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
作者:  Li, Jinli;  Luo, Xin;  Yuan, Ye;  Gao, Shangce
收藏  |  浏览/下载:202/0  |  提交时间: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
作者:  Qin, Wen;  Luo, Xin;  Li, Shuai;  Zhou, MengChu
收藏  |  浏览/下载:33/0  |  提交时间: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  
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
作者:  Yuan, Ye;  He, Qiang;  Luo, Xin;  Shang, Mingsheng
收藏  |  浏览/下载:93/0  |  提交时间: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
作者:  Shi, Xiaoyu;  He, Qiang;  Luo, Xin;  Bai, Yanan;  Shang, Mingsheng
收藏  |  浏览/下载:88/0  |  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  
Adjusted stochastic gradient descent for latent factor analysis 期刊论文
INFORMATION SCIENCES, 2022, 卷号: 588, 页码: 196-213
作者:  Li, Qing;  Xiong, Diwen;  Shang, Mingsheng
收藏  |  浏览/下载:61/0  |  提交时间: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 proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model 期刊论文
NEUROCOMPUTING, 2021, 卷号: 427, 页码: 29-39
作者:  Li, Jinli;  Yuan, Ye;  Ruan, Tao;  Chen, Jia;  Luo, Xin
收藏  |  浏览/下载:108/0  |  提交时间:2021/03/17
Big data  Stochastic gradient descent  Proportional integral derivation  PID controller  High-dimensional and sparse matrix  Latent factor analysis  
Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 402-411
作者:  Luo, Xin;  Qin, Wen;  Dong, Ani;  Sedraoui, Khaled;  Zhou, MengChu
收藏  |  浏览/下载:117/0  |  提交时间:2021/03/17
Big data  industrial application  industrial data  latent factor analysis  machine learning  parallel algorithm  recommender system (RS)  stochastic gradient descent (SGD)  
An adaptive latent factor model via particle swarm optimization 期刊论文
NEUROCOMPUTING, 2019, 卷号: 369, 页码: 176-184
作者:  Wang, Qingxian;  Chen, Sili;  Luo, Xin
收藏  |  浏览/下载:107/0  |  提交时间:2020/08/24
Latent factor analysis  Particle swarm optimization  High-dimensional and sparse matrix  Stochastic gradient descent  Self-adaptive model