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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
Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High-Dimensional and Incomplete Industrial Data
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 14
作者:
Qin, Wen
;
Luo, Xin
;
Li, Shuai
;
Zhou, MengChu
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  |  
浏览/下载:14/0
  |  
提交时间:2023/12/25
Adaptation models
Training
Data models
Convergence
Stochastic processes
Sparse matrices
Tuning
Big data
latent factor analysis
Index Terms
adaptive model
parallelization
machine learning
stochastic gradient descent
high-dimensional and incomplete matrix
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
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  |  
浏览/下载:79/0
  |  
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
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  |  
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
Adjusted stochastic gradient descent for latent factor analysis
期刊论文
INFORMATION SCIENCES, 2022, 卷号: 588, 页码: 196-213
作者:
Li, Qing
;
Xiong, Diwen
;
Shang, Mingsheng
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  |  
浏览/下载:50/0
  |  
提交时间:2022/08/22
Big data analysis
High-dimensional and incomplete matrix
Stochastic gradient descent
Latent factor analysis
Gradient adjustment
Adaptive model
Particle swarm optimization
Local optima
A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 7, 页码: 4285-4296
作者:
Wu, Di
;
Luo, Xin
;
Shang, Mingsheng
;
He, Yi
;
Wang, Guoyin
;
Zhou, MengChu
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  |  
浏览/下载:204/0
  |  
提交时间:2021/08/20
Big data
deep model
high-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
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
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  |  
浏览/下载:82/0
  |  
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
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:102/0
  |  
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
An adaptive latent factor model via particle swarm optimization
期刊论文
NEUROCOMPUTING, 2019, 卷号: 369, 页码: 176-184
作者:
Wang, Qingxian
;
Chen, Sili
;
Luo, Xin
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  |  
浏览/下载:98/0
  |  
提交时间:2020/08/24
Latent factor analysis
Particle swarm optimization
High-dimensional and sparse matrix
Stochastic gradient descent
Self-adaptive model
Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 4, 页码: 1216-1228
作者:
Luo, Xin
;
Zhou, MengChu
;
Li, Shuai
;
Xia, Yunni
;
You, Zhu-Hong
;
Zhu, QingSheng
;
Leung, Hareton
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  |  
浏览/下载:519/0
  |  
提交时间:2018/06/04
Big data
latent factor model
missing data prediction
quality-of-service (QoS)
second-order solver
service computing sparse matrices
Web service