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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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共97条,第1-10条
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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
收藏
  |  
浏览/下载:7/0
  |  
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
Proximal Alternating-Direction-Method-of-Multipliers-Incorporated Nonnegative Latent Factor Analysis
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406
作者:
Bi, Fanghui
;
Luo, Xin
;
Shen, Bo
;
Dong, Hongli
;
Wang, Zidong
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/12/25
Data science
high-dimensional and incomplete data
knowledge acquisition
industrial application
nonnegative latent factor analysis(NLFA)
proximal alternating direction method of multipliers
representation learning
Neulft: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors
期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 6, 页码: 6148-6166
作者:
Luo, Xin
;
Wu, Hao
;
Li, Zechao
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/12/25
Tensors
Data models
Computational modeling
Adaptation models
Training
Artificial neural networks
Neurons
Nonlinear tensor model
Big Data
high-dimensional and incomplete tensor
latent factorization of tensors
hyper-parameter adaptation
Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2023, 卷号: 10, 期号: 5, 页码: 1105-1121
作者:
Zhou, Yue
;
Luo, Xin
;
Zhou, MengChu
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/12/25
Measurement
Systematics
Protocols
Big Data
Market research
Cryptocurrency
Blockchains
Big data analysis
cryptocurrency transaction network embedding (CTNE)
dynamic network
network embedding
network representation
static network
Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 6, 页码: 1524-1536
作者:
Chen, Jia
;
Luo, Xin
;
Zhou, Mengchu
收藏
  |  
浏览/下载:64/0
  |  
提交时间:2022/12/26
Adaptation models
Optimization
Convergence
Computational modeling
Sparse matrices
Particle swarm optimization
Big Data
Big data
latent factor analysis
particle swarm optimization
high-dimensional and sparse matrix
large-scale incomplete data
missing data estimation
industrial application
Single-cell technologies: From research to application
期刊论文
INNOVATION-THE EUROPEAN JOURNAL OF SOCIAL SCIENCE RESEARCH, 2022, 卷号: 3, 期号: 6, 页码: 17
作者:
Wen, Lu
;
Li, Guoqiang
;
Huang, Tao
;
Geng, Wei
;
Pei, Hao
;
Yang, Jialiang
;
Zhu, Miao
;
Zhang, Pengfei
;
Hou, Rui
;
Tian, Geng
;
Su, Wentao
;
Chen, Jian
;
Zhang, Dake
;
Zhu, Pingan
;
Zhang, Wei
;
Zhang, Xiuxin
;
Zhang, Ning
;
Zhao, Yunlong
;
Cao, Xin
;
Peng, Guangdun
;
Ren, Xianwen
;
Jiang, Nan
;
Tian, Caihuan
;
Chen, Zi-Jiang
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2022/12/26
Multi-scale change monitoring of water environment using cloud computing in optimal resolution remote sensing images
期刊论文
ENERGY REPORTS, 2022, 卷号: 8, 页码: 13610-13620
作者:
Feng, Lei
;
You, Yu
;
Liao, Weiling
;
Pang, Jiawei
;
Hu, Ronghao
;
Feng, Li
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2022/12/26
Cloud computing
Remote sensing image
Water resource
Environmental monitoring
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: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
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
Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations
期刊论文
INFORMATION SCIENCES, 2022, 卷号: 588, 页码: 106-123
作者:
Wang, Guancheng
;
Hao, Zhihao
;
Zhang, Bob
;
Jin, Long
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2022/08/22
Recurrent neural network
dynamic Lyapunov equations
Bounded activation functions
Finite-time convergence
Robustness