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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：1/0  |  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：1/0  |  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)  
Improving structure-based protein-ligand affinity prediction by graph representation learning and ensemble learning 期刊论文
PLOS ONE, 2024, 卷号: 19, 期号: 1, 页码: 21
作者:  Guo, Jia
收藏  |  浏览/下载：190/0  |  提交时间：2024/04/07
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
作者:  Luo, Xin;  Chen, Jiufang;  Yuan, Ye;  Wang, Zidong
收藏  |  浏览/下载：49/0  |  提交时间：2024/02/23
High-dimensional and incomplete (HDI) data  hyperparameter adaptation  latent factor analysis (LFA)  network representation  particle swarm optimization (PSO)  
Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis 期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2023, 卷号: 16, 期号: 4, 页码: 3027-3042
作者:  Bi, Fanghui;  He, Tiantian;  Xie, Yuetong;  Luo, Xin
收藏  |  浏览/下载：9/0  |  提交时间：2023/12/25
Cloud service  data science  graph neural network  high-dimensional and incomplete data  latent factor analysis  latent feature model  missing data estimation  non-euclidean data  representation learning  quality-of-service  
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：181/0  |  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  
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2023, 卷号: 9, 期号: 3, 页码: 889-903
作者:  Chen, Minzhi;  He, Chunlin;  Luo, Xin
收藏  |  浏览/下载：12/0  |  提交时间：2023/12/25
Tensors  Data models  Computational modeling  Adaptation models  Analytical models  Big Data  Heuristic algorithms  Dynamic weighted directed network  high-dimensional and incomplete tensor  non-negative latent-factorization-of-tensors  linear bias  high dimensional and incomplete  momentum method  particle swarm optimization  adaptive model  
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：12/0  |  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  
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  
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