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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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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
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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
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
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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
Multi-Constrained Embedding for Accurate Community Detection on Undirected Networks
期刊论文
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2022, 卷号: 9, 期号: 5, 页码: 3675-3690
作者:
Wang, Qingxian
;
Liu, Xinyu
;
Shang, Tianqi
;
Liu, Zhigang
;
Yang, Han
;
Luo, Xin
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浏览/下载:53/0
  |  
提交时间:2022/10/14
Symmetric matrices
Symbols
Matrix decomposition
Context modeling
Task analysis
Periodic structures
Electronic mail
Community detection
network embedding
non-negative matrix factorization
non-negative model and alternating direction method of multipliers
Symmetry and Nonnegativity-Constrained Matrix Factorization for Community Detection
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 9, 页码: 1691-1693
作者:
Liu, Zhigang
;
Yuan, Guangxiao
;
Luo, Xin
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浏览/下载:90/0
  |  
提交时间:2022/10/14
Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 卷号: 18, 期号: 4, 页码: 2142-2155
作者:
Luo, Xin
;
Chen, Minzhi
;
Wu, Hao
;
Liu, Zhigang
;
Yuan, Huaqiang
;
Zhou, Mengchu
收藏
  |  
浏览/下载:82/0
  |  
提交时间:2021/11/26
Tensors
Data models
Quality of service
Computational modeling
Analytical models
Training
Web services
Algorithm
big data
dynamics
high-dimensional and incomplete (HDI) data
machine learning
missing data estimation
multichannel data
nonnegative latent factorization of tensors (NLFT)
temporal pattern
quality of service (QoS)
web service
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:112/0
  |  
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
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
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  |  
浏览/下载:505/0
  |  
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
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)
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  |  
浏览/下载:413/0
  |  
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:425/0
  |  
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
Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition
期刊论文
PATTERN RECOGNITION, 2014, 卷号: 47, 期号: 5, 页码: 1904-1916
作者:
Zhou, Xiang-Dong
;
Zhang, Yan-Ming
;
Tian, Feng
;
Wang, Hong-An
;
Liu, Cheng-Lin
Adobe PDF(751Kb)
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收藏
  |  
浏览/下载:85/0
  |  
提交时间:2018/03/15
Semi-markov Conditional Random Fields
Minimum-risk Training
Character String Recognition