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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 [8]
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罗辛 [28]
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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
收藏
  |  
浏览/下载:6/0
  |  
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)
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
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector
期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 15
作者:
Liu, Zhigang
;
Yi, Yugen
;
Luo, Xin
收藏
  |  
浏览/下载:515/0
  |  
提交时间:2023/04/06
Detectors
Symmetric matrices
Indexes
Training
Probability
Network analyzers
Frequency measurement
Learning system
network representation learning
community detection
nonnegative matrix factorization
symmetric model
capacity
graph regularization
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection
期刊论文
INFORMATION FUSION, 2023, 卷号: 89, 页码: 588-602
作者:
Liu, Zhigang
;
Luo, Xin
;
Wang, Zidong
;
Liu, Xiaohui
收藏
  |  
浏览/下载:86/0
  |  
提交时间:2022/12/26
Undirected Network
Social Network
Information Fusion
Network Representation Learning
Community Detection
Nonnegative Matrix Factorization
Symmetry -regularization
Multiple Constraints
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
收藏
  |  
浏览/下载:72/0
  |  
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
Diversified Regularization Enhanced Training for Effective Manipulator Calibration
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:
Li, Zhibin
;
Li, Shuai
;
Bamasag, Omaimah Omar
;
Alhothali, Areej
;
Luo, Xin
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  |  
浏览/下载:60/0
  |  
提交时间:2022/08/22
Robots
Robot kinematics
Calibration
Service robots
Robot sensing systems
Kinematics
End effectors
Absolute positioning accuracy
ensemble
kinematic parameters
overfitting
regularization scheme
robot arms
RNN for Repetitive Motion Generation of Redundant Robot Manipulators: An Orthogonal Projection-Based Scheme
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 615-628
作者:
Xie, Zhengtai
;
Jin, Long
;
Luo, Xin
;
Sun, Zhongbo
;
Liu, Mei
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2022/08/22
Manipulators
Kinematics
Recurrent neural networks
Task analysis
Redundancy
Error elimination
gradient descent method
orthogonal projection method
recurrent neural network (RNN)
redundant manipulators
repetitive motion generation (RMG)
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
An L-1-and-L-2-Norm-Oriented Latent Factor Model for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:
Wu, Di
;
Shang, Mingsheng
;
Luo, Xin
;
Wang, Zidong
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2022/08/22
High-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
L-1 norm
L-2 norm
recommender system (RS)
Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 4, 页码: 1737-1749
作者:
Liu, Zhigang
;
Luo, Xin
;
Wang, Zidong
收藏
  |  
浏览/下载:154/0
  |  
提交时间:2021/05/17
Manganese
Convergence
Computational modeling
Learning systems
Analytical models
Sparse matrices
Big Data
Big data
convergence
high-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
learning system
neural networks
nonnegative LF (NLF) analysis
single LF-dependent nonnegative and multiplicative update (SLF-NMU)