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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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SDGNN: Symmetry-Preserving Dual-Stream Graph Neural Networks
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2024, 卷号: 11, 期号: 7, 页码: 1717-1719
作者:
Chen, Jiufang
;
Yuan, Ye
;
Luo, Xin
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浏览/下载:562/0
  |  
提交时间:2024/08/16
Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 页码: 14
作者:
Luo, Xin
;
Chen, Jiufang
;
Yuan, Ye
;
Wang, Zidong
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2024/02/23
High-dimensional and incomplete (HDI) data
hyperparameter adaptation
latent factor analysis (LFA)
network representation
particle swarm optimization (PSO)
A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 15
作者:
Li, Jinli
;
Luo, Xin
;
Yuan, Ye
;
Gao, Shangce
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  |  
浏览/下载:192/0
  |  
提交时间:2023/12/25
High-dimensional and incomplete data
latent factor analysis
stochastic gradient descent
nonlinear proportional integral derivation
particle swarm optimization
parameter adaptation
A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:
Yuan, Ye
;
Luo, Xin
;
Shang, Mingsheng
;
Wang, Zidong
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  |  
浏览/下载:74/0
  |  
提交时间:2022/08/22
Quality of service
Data models
Kalman filters
Estimation
Computational modeling
Web services
Heuristic algorithms
Alternating least squares (ALSs)
computational intelligence
data science
dynamic latent factor analysis (LFA)
dynamics
intelligent computing
Kalman filter
temporal pattern
Web service
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:88/0
  |  
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
Non-Negative Latent Factor Model Based on beta-Divergence for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 8, 页码: 4612-4623
作者:
Xin, Luo
;
Yuan, Ye
;
Zhou, MengChu
;
Liu, Zhigang
;
Shang, Mingsheng
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  |  
浏览/下载:138/0
  |  
提交时间:2021/08/20
beta-divergence
big data
high-dimensional and sparse (HiDS) matrix
industrial application
learning algorithm
non-negative latent factor (NLF) analysis
recommender system
A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model
期刊论文
NEUROCOMPUTING, 2021, 卷号: 427, 页码: 29-39
作者:
Li, Jinli
;
Yuan, Ye
;
Ruan, Tao
;
Chen, Jia
;
Luo, Xin
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  |  
浏览/下载:104/0
  |  
提交时间:2021/03/17
Big data
Stochastic gradient descent
Proportional integral derivation
PID controller
High-dimensional and sparse matrix
Latent factor analysis
An alpha -beta -Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:
Shang, Mingsheng
;
Yuan, Ye
;
Luo, Xin
;
Zhou, MengChu
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  |  
浏览/下载:67/0
  |  
提交时间:2022/08/22
Computational modeling
Sparse matrices
Convergence
Data models
Predictive models
Linear programming
Euclidean distance
-divergence
big data
convergence analysis
high-dimensional and sparse (HiDS) data
momentum
machine learning
missing data estimation
non-negative latent factor analysis (NLFA)
recommender system (RS)
Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems
期刊论文
NEUROCOMPUTING, 2021, 卷号: 421, 页码: 316-328
作者:
Chen, Jiufang
;
Yuan, Ye
;
Ruan, Tao
;
Chen, Jia
;
Luo, Xin
收藏
  |  
浏览/下载:82/0
  |  
提交时间:2021/02/24
Big Data
Intelligent Computation
Latent Factor Analysis
Evolutionary Computing
Learning Algorithm
High-dimensional and Sparse Data
Parameter Free
An adaptive latent factor model via particle swarm optimization for high-dimensional and sparse matrices
会议论文
2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019, Bari, Italy, October 6, 2019 - October 9, 2019
作者:
Chen, Sili
;
Yuan, Ye
;
Wang, Jin
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  |  
浏览/下载:154/0
  |  
提交时间:2020/02/18