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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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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:515/0
  |  
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
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection
期刊论文
INFORMATION FUSION, 2023, 卷号: 89, 页码: 588-602
作者:
Liu, Zhigang
;
Luo, Xin
;
Wang, Zidong
;
Liu, Xiaohui
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  |  
浏览/下载:86/0
  |  
提交时间:2022/12/26
Undirected Network
Social Network
Information Fusion
Network Representation Learning
Community Detection
Nonnegative Matrix Factorization
Symmetry -regularization
Multiple Constraints
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
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  |  
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
Elastic-net regularized latent factor analysis-based models for recommender systems
期刊论文
NEUROCOMPUTING, 2019, 卷号: 329, 页码: 66-74
作者:
Wang, Dexian
;
Chen, Yanbin
;
Guo, Junxiao
;
Shi, Xiaoyu
;
He, Chunlin
;
Luo, Xin
;
Yuan, Huaqiang
Adobe PDF(1965Kb)
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收藏
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浏览/下载:213/0
  |  
提交时间:2019/01/17
Big data
Recommender systems
Collaborative filtering
Latent factor analysis
Elastic-net
Regularization
Latent factor distribution
Quantitative Analysis of Immunochromatographic Strip Based on Convolutional Neural Network
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 16257-16263
作者:
Zeng, Nianyin
;
Li, Han
;
Li, Yurong
;
Luo, Xin
Adobe PDF(4383Kb)
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  |  
浏览/下载:167/0
  |  
提交时间:2019/03/25
Gold immunochromatographic strip
quantitative analysis
image segmentation
CNN
An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 5, 页码: 2011-2022
作者:
Luo, Xin
;
Zhou, MengChu
;
Li, Shuai
;
Shang, MingSheng
收藏
  |  
浏览/下载:508/0
  |  
提交时间:2018/07/02
Big data
high-dimensional and sparse matrix
learning algorithms
missing-data estimation
nonnegative latent factor analysis
optimization methods recommender system
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications
会议论文
15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018, Zhuhai, China, March 27, 2018 - March 29, 2018
作者:
Chen, Jia
;
Luo, Xin
Adobe PDF(5259Kb)
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  |  
浏览/下载:131/0
  |  
提交时间:2019/06/25
An inherently nonnegative latent factor model for high-dimensional and sparse matrices from industrial applications
期刊论文
IEEE Transactions on Industrial Informatics, 2018, 卷号: 14, 期号: 5, 页码: 2011-2022
作者:
Luo, Xin
;
Zhou, Mengchu
;
Li, Shuai
;
Shang, Mingsheng
Adobe PDF(805Kb)
  |  
收藏
  |  
浏览/下载:416/0
  |  
提交时间:2019/06/26
Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 期号: 6, 页码: 3098-3107
作者:
Luo, Xin
;
Sun, Jianpei
;
Wang, Zidong
;
Li, Shuai
;
Shang, Mingsheng
Adobe PDF(803Kb)
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  |  
浏览/下载:429/0
  |  
提交时间:2018/03/05
Big data application
high-dimensional, and sparse (SHiDS) matrix
nonnegative latent factor (NLF) model
symmetry
undirected HiDS network