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中国科学院重庆绿色智能技术研究院机构知识库
KMS Chongqing Institute of Green and Intelligent Technology, CAS
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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
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  |  
浏览/下载:10/0
  |  
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
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  |  
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
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
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  |  
浏览/下载:13/0
  |  
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
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  |  
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
Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Wang, Zhi
;
Liu, Yu
;
Luo, Xin
;
Wang, Jianjun
;
Gao, Chao
;
Peng, Dezhong
;
Chen, Wu
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2022/08/22
Minimization
Convergence
Tensors
Optimization
Analytical models
Data models
Data analysis
Inexact proximal step
low-rank minimization
matrix completion
novel nonconvex regularizer
robust principal component analysis (RPCA)
tensor completion
An alpha -beta -Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:
Shang, Mingsheng
;
Yuan, Ye
;
Luo, Xin
;
Zhou, MengChu
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  |  
浏览/下载:53/0
  |  
提交时间:2022/08/22
Computational modeling
Sparse matrices
Convergence
Data models
Predictive models
Linear programming
Euclidean distance
-divergence
big data
convergence analysis
high-dimensional and sparse (HiDS) data
momentum
machine learning
missing data estimation
non-negative latent factor analysis (NLFA)
recommender system (RS)
Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 2, 页码: 916-926
作者:
Luo, Xin
;
Wang, Dexian
;
Zhou, MengChu
;
Yuan, Huaqiang
收藏
  |  
浏览/下载:67/0
  |  
提交时间:2021/03/17
Big data
bi-linear
collaborative filtering (CF)
high-dimensional and sparse (HiDS) matrix
industry
latent factor (LF) analysis
missing data
recommender system
Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Luo, Xin
;
Liu, Zhigang
;
Jin, Long
;
Zhou, Yue
;
Zhou, MengChu
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2022/08/22
Detectors
Convergence
Symmetric matrices
Social networking (online)
Analytical models
Tuning
Computational modeling
Community detection
convergence analysis
graph regularization
nonnegative multiplicative update (NMU)
social network analysis
symmetric and nonnegative matrix factorization (SNMF)
Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 5, 页码: 3006-3017
作者:
Song, Yan
;
Li, Ming
;
Luo, Xin
;
Yang, Guisong
;
Wang, Chongjing
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  |  
浏览/下载:116/0
  |  
提交时间:2020/08/24
Computational modeling
Sparse matrices
Biological system modeling
Symmetric matrices
Matrix decomposition
Linear programming
Convergence
Big data
data analysis
latent factor
nonnegativity
sparse and large-scaled network
symmetry
triple-factorization
undirected
Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 1844-1855
作者:
Luo, Xin
;
Zhou, MengChu
;
Li, Shuai
;
Hu, Lun
;
Shang, Mingsheng
收藏
  |  
浏览/下载:124/0
  |  
提交时间:2020/08/24
Computational modeling
Data models
Sparse matrices
Linear programming
Training
Convergence
Analytical models
Alternating-direction-method of multipliers
high-dimensional and sparse matrix
industrial application
non-negative latent factor analysis
recommender system