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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 Fast Nonnegative Autoencoder-Based Approach to Latent Feature Analysis on High-Dimensional and Incomplete Data
期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2024, 卷号: 17, 期号: 3, 页码: 733-746
作者:
Bi, Fanghui
;
He, Tiantian
;
Luo, Xin
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浏览/下载:31/0
  |  
提交时间:2024/08/16
Knowledge acquisition
data science
high-dimensional and incomplete data
neural network
fast nonnegative AutoEncoder
latent feature analysis
link prediction
network representation learning
Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 1, 页码: 92-107
作者:
Qin, Wen
;
Luo, Xin
;
Zhou, Mengchu
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  |  
浏览/下载:22/0
  |  
提交时间:2024/05/06
Parallel algorithm
industrial application
latent feature analysis
high-dimensional and incomplete data
stochastic gradient descent
parallelization shared-memory
data science
Asynchronous Parallel Fuzzy Stochastic Gradient Descent for High-Dimensional Incomplete Data Representation
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2024, 卷号: 32, 期号: 2, 页码: 445-459
作者:
Qin, Wen
;
Luo, Xin
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  |  
浏览/下载:21/0
  |  
提交时间:2024/05/06
Training
Representation learning
Data models
Stochastic processes
Computational modeling
Analytical models
Proteins
Asynchronous parallelization
fuzzy optimization
high-dimensional incomplete (HDI) data
latent feature analysis (LFA)
shared-memory
stochastic gradient descent (SGD)
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:37/0
  |  
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
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:94/0
  |  
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
Nonnegative Latent Factor Analysis-Incorporated and Feature-Weighted Fuzzy Double $c$-Means Clustering for Incomplete Data
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 卷号: 30, 期号: 10, 页码: 4165-4176
作者:
Song, Yan
;
Li, Ming
;
Zhu, Zhengyu
;
Yang, Guisong
;
Luo, Xin
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浏览/下载:67/0
  |  
提交时间:2022/12/26
Big data
clustering
fuzzy double c-means
incomplete data
latent factor analysis
local feature weights.
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
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  |  
浏览/下载:61/0
  |  
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