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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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罗辛 [11]
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吴迪 [4]
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2021 [11]
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共11条,第1-10条
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发表日期:2021
资助项目:Pioneer Hundred Talents Program of Chinese Academy of Sciences
作者:罗辛
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An Alternating-Direction-Method of Multipliers-Incorporated Approach to Symmetric Non-Negative Latent Factor Analysis
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Luo, Xin
;
Zhong, Yurong
;
Wang, Zidong
;
Li, Maozhen
收藏
  |  
浏览/下载:64/0
  |  
提交时间:2022/08/22
Symmetric matrices
Computational modeling
Data models
Analytical models
Training
Learning systems
Convergence
Alternating-direction-method of multipliers (ADMM)
learning system
missing data
non-negative latent factor analysis (NLFA)
symmetric high-dimensional and incomplete matrix (SHDI)
undirected weighted network
An Effective Link-Based Clustering Algorithm for Detecting Overlapping Protein Complexes in Protein-Protein Interaction Networks
期刊论文
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2021, 卷号: 8, 期号: 4, 页码: 3275-3289
作者:
Hu, Lun
;
Zhang, Jun
;
Pan, Xiangyu
;
Luo, Xin
;
Yuan, Huaqiang
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2022/08/22
Proteins
Clustering algorithms
Biology
Search problems
Partitioning algorithms
Optimization
Protein complex detection
protein-protein interaction network
link-based clustering
network clustering
A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 15
作者:
Wu, Di
;
He, Yi
;
Luo, Xin
;
Zhou, MengChu
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2022/08/22
Big data
computational intelligence
latent factor analysis (LFA)
missing data
online algorithm
online feature selection
sparse streaming feature
streaming feature
Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:
Qi, Yimeng
;
Jin, Long
;
Luo, Xin
;
Shi, Yang
;
Liu, Mei
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2022/08/22
Task analysis
Robustness
Biological neural networks
Resource management
Dynamic scheduling
Convergence
Recurrent neural networks
Consensus filter
k-winner-take-all (k-WTA)
multiagent coordination
theoretical analysis
An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 6, 页码: 3522-3532
作者:
Luo, Xin
;
Wang, Zidong
;
Shang, Mingsheng
收藏
  |  
浏览/下载:90/0
  |  
提交时间:2021/08/20
High-dimensional and sparse (HiDS) data
industrial application
instance-frequency
non-negative latent factor analysis (NLFA)
recommender system
regularization
An L-1-and-L-2-Norm-Oriented Latent Factor Model for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:
Wu, Di
;
Shang, Mingsheng
;
Luo, Xin
;
Wang, Zidong
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2022/08/22
High-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
L-1 norm
L-2 norm
recommender system (RS)
Robust Latent Factor Analysis for Precise Representation of High-Dimensional and Sparse Data
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 4, 页码: 796-805
作者:
Wu, Di
;
Luo, Xin
收藏
  |  
浏览/下载:92/0
  |  
提交时间:2021/05/17
High-dimensional and sparse matrix
L-1-norm
L-2-norm
latent factor model
recommender system
smooth L-1-norm
Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 4, 页码: 1737-1749
作者:
Liu, Zhigang
;
Luo, Xin
;
Wang, Zidong
收藏
  |  
浏览/下载:164/0
  |  
提交时间:2021/05/17
Manganese
Convergence
Computational modeling
Learning systems
Analytical models
Sparse matrices
Big Data
Big data
convergence
high-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
learning system
neural networks
nonnegative LF (NLF) analysis
single LF-dependent nonnegative and multiplicative update (SLF-NMU)
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2021, 卷号: 7, 期号: 1, 页码: 227-240
作者:
Luo, Xin
;
Zhou, Mengchu
;
Li, Shuai
;
Wu, Di
;
Liu, Zhigang
;
Shang, Mingsheng
收藏
  |  
浏览/下载:160/0
  |  
提交时间:2021/05/17
Data models
Training
Sparse matrices
Recommender systems
Computational modeling
Big Data
Scalability
Non-negative latent factor analysis
non-negativity
latent factor analysis
unconstrained optimization
high-dimensional and sparse matrix
collaborative filtering
recommender system
big data
A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 1, 页码: 610-620
作者:
Luo, Xin
;
Liu, Zhigang
;
Li, Shuai
;
Shang, Mingsheng
;
Wang, Zidong
收藏
  |  
浏览/下载:109/0
  |  
提交时间:2021/03/17
Big data
high-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
missing data estimation
non-negative LF (NLF) model
recommender system