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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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语种:英语
资助项目:Natural Science Foundation of Chongqing (China)[cstc2019jcyjjqX0013]
资助项目:Pioneer Hundred Talents Program of Chinese Academy of Sciences
作者:罗辛
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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:89/0
  |  
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
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:102/0
  |  
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 Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction
期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 卷号: 34, 期号: 6, 页码: 2525-2538
作者:
Wu, Di
;
Luo, Xin
;
Shang, Mingsheng
;
He, Yi
;
Wang, Guoyin
;
Wu, Xindong
收藏
  |  
浏览/下载:82/0
  |  
提交时间:2022/08/22
Web Service
quality-of-service
QoS
latent factor analysis
density peak
data-characteristic-aware
missing data
big data
topological neighborhood
noise data
service selection
data science
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
收藏
  |  
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
Advancing Non-Negative Latent Factorization of Tensors With Diversified Regularization Schemes
期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 3, 页码: 1334-1344
作者:
Wu, Hao
;
Luo, Xin
;
Zhou, Mengchu
收藏
  |  
浏览/下载:74/0
  |  
提交时间:2022/08/22
High-dimensional and sparse tensor
missing data
latent factor analysis
temporal pattern
non-negativity
non-negative latent factorization of tensor
regularization
ensemble
services computing
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:64/0
  |  
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
Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:
Qi, Yimeng
;
Jin, Long
;
Luo, Xin
;
Shi, Yang
;
Liu, Mei
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2022/08/22
Task analysis
Robustness
Biological neural networks
Resource management
Dynamic scheduling
Convergence
Recurrent neural networks
Consensus filter
k-winner-take-all (k-WTA)
multiagent coordination
theoretical analysis
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:50/0
  |  
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:164/0
  |  
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)
Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-Negative Matrix Factorization
期刊论文
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2021, 卷号: 8, 期号: 1, 页码: 463-476
作者:
Luo, Xin
;
Liu, Zhigang
;
Shang, Mingsheng
;
Lou, Jungang
;
Zhou, MengChu
收藏
  |  
浏览/下载:153/0
  |  
提交时间:2021/04/20
Detectors
Symmetric matrices
Image edge detection
Social networking (online)
Topology
Measurement
Knowledge engineering
Computational Intelligence
Social Network
Network Representation
Community Detection
Pointwise Mutual Information
Symmetric and Non-negative Matrix Factorization
Graph-regularization