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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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大数据挖掘及应用中心 [1]
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罗辛 [11]
尚明生 [4]
史晓雨 [2]
吴迪 [1]
袁野 [1]
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共11条,第1-10条
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收录类别:SCI
资助项目:National Natural Science Foundation of China[61772493]
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Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis
期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 5, 页码: 2809-2823
作者:
Luo, Xin
;
Zhou, Yue
;
Liu, Zhigang
;
Hu, Lun
;
Zhou, MengChu
收藏
  |  
浏览/下载:80/0
  |  
提交时间:2022/12/26
Computational modeling
Acceleration
Sparse matrices
Adaptation models
Training
Data models
Convergence
Services computing
service application
big data
latent factor analysis
non-negative latent factor model
high-dimensional and sparse matrix
recommender system
missing data
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794
作者:
Yuan, Ye
;
He, Qiang
;
Luo, Xin
;
Shang, Mingsheng
收藏
  |  
浏览/下载:75/0
  |  
提交时间:2022/08/22
Computational modeling
Sparse matrices
Big Data
Data models
Stochastic processes
Training
Software algorithms
Big data
latent factor analysis
generally multilayered structure
deep forest
multilayered extreme learning machine
randomized-learning
high-dimensional and sparse matrix
stochastic gradient descent
randomized model
Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 2, 页码: 420-431
作者:
Shi, Xiaoyu
;
He, Qiang
;
Luo, Xin
;
Bai, Yanan
;
Shang, Mingsheng
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2022/08/22
Recommender systems
Training
Optimization
Big Data
Cloud computing
Computational modeling
Sparse matrices
Recommender system
latent factor analysis
high-dimensional and sparse matrices
alternative stochastic gradient descent
distributed computing
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:56/0
  |  
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
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:83/0
  |  
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
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:150/0
  |  
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
Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 402-411
作者:
Luo, Xin
;
Qin, Wen
;
Dong, Ani
;
Sedraoui, Khaled
;
Zhou, MengChu
收藏
  |  
浏览/下载:106/0
  |  
提交时间:2021/03/17
Big data
industrial application
industrial data
latent factor analysis
machine learning
parallel algorithm
recommender system (RS)
stochastic gradient descent (SGD)
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)
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:125/0
  |  
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
Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 1798-1809
作者:
Luo, Xin
;
Wu, Hao
;
Yuan, Huaqiang
;
Zhou, MengChu
收藏
  |  
浏览/下载:374/0
  |  
提交时间:2020/08/24
Quality of service
Hidden Markov models
Data models
Training
Web services
Time factors
Latent factor analysis (LFA)
latent factorization of tensor
learning temporal pattern
linear bias (LB)
non-negative latent factorization of tensor
non-negativity constraint
quality-of-service (QoS) prediction