中国科学院重庆绿色智能技术研究院机构知识库

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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：5/0  |  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：3/0  |  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)
	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：51/0  |  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)
	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：182/0  |  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
	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：14/0  |  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
	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：14/0  |  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
	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：13/0  |  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 Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 12, 页码: 9756-9773 作者:  Luo, Xin;  Wu, Hao;  Wang, Zhi;  Wang, Jianjun;  Meng, Deyu 收藏  |  浏览/下载：69/0  |  提交时间：2022/12/26 Tensors  Computational modeling  Numerical models  Data models  Convergence  Analytical models  Adaptation models  Dynamically weighted directed network  terminal interaction pattern analysis system  latent factorization of tensors  high dimensional and incomplete tensor  link prediction  representation learning  latent feature
	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：62/0  |  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
	Nonnegative Latent Factor Analysis-Incorporated and Feature-Weighted Fuzzy Double $c$-Means Clustering for Incomplete Data 期刊论文 IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 卷号: 30, 期号: 10, 页码: 4165-4176 作者:  Song, Yan;  Li, Ming;  Zhu, Zhengyu;  Yang, Guisong;  Luo, Xin 收藏  |  浏览/下载：51/0  |  提交时间：2022/12/26 Big data  clustering  fuzzy double c-means  incomplete data  latent factor analysis  local feature weights.