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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	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：8/0  |  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
	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
	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：13/0  |  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
	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：11/0  |  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：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
	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：67/0  |  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：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
	An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis 期刊论文 Journal of Big Data, 2022, 卷号: 9, 期号: 1 作者:  Li,Qing;  Pang,Guansong;  Shang,Mingsheng 收藏  |  浏览/下载：47/0  |  提交时间：2022/08/22 Big data analysis  Latent factor analysis  Simulated annealing  Differential evolution algorithm  Multi-parameter adaptive