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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
Authors:  Qin, Wen;  Luo, Xin
Favorite  |  View/Download：18/0  |  Submit date：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)  
Discrete Data-Driven Control of Redundant Manipulators With Adaptive Jacobian Matrix 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 页码: 11
Authors:  Liu, Mei;  Hu, Yafei;  Jin, Long
Favorite  |  View/Download：17/0  |  Submit date：2024/04/07
Manipulators  Mathematical models  Manipulator dynamics  Jacobian matrices  Kalman filters  Task analysis  Kinematics  Discrete data-driven Jacobian matrix adaptive control (DDJMAC)  Kalman filter  model-unknown  neural dynamics  redundant manipulators  
Nutrient reduction mitigated the expansion of cyanobacterial blooms caused by climate change in Lake Taihu according to Bayesian network models 期刊论文
WATER RESEARCH, 2023, 卷号: 236, 页码: 10
Authors:  Deng, Jianming;  Shan, Kun;  Shi, Kun;  Qian, Song S.;  Zhang, Yunlin;  Qin, Boqiang;  Zhu, Guangwei
Favorite  |  View/Download：24/0  |  Submit date：2023/12/25
Global warming  Cyanobacterial blooms  Internal loading  Shallow lakes  Data-intensive statistical models  
Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High-Dimensional and Incomplete Industrial Data 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 14
Authors:  Qin, Wen;  Luo, Xin;  Li, Shuai;  Zhou, MengChu
Favorite  |  View/Download：28/0  |  Submit date：2023/12/25
Adaptation models  Training  Data models  Convergence  Stochastic processes  Sparse matrices  Tuning  Big data  latent factor analysis  Index Terms  adaptive model  parallelization  machine learning  stochastic gradient descent  high-dimensional and incomplete matrix  
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2023, 卷号: 9, 期号: 3, 页码: 889-903
Authors:  Chen, Minzhi;  He, Chunlin;  Luo, Xin
Favorite  |  View/Download：20/0  |  Submit date：2023/12/25
Tensors  Data models  Computational modeling  Adaptation models  Analytical models  Big Data  Heuristic algorithms  Dynamic weighted directed network  high-dimensional and incomplete tensor  non-negative latent-factorization-of-tensors  linear bias  high dimensional and incomplete  momentum method  particle swarm optimization  adaptive model  
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
Authors:  Luo, Xin;  Wu, Hao;  Li, Zechao
Favorite  |  View/Download：23/0  |  Submit date：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 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
Authors:  Luo, Xin;  Wu, Hao;  Wang, Zhi;  Wang, Jianjun;  Meng, Deyu
Favorite  |  View/Download：89/0  |  Submit date：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  
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
Authors:  Chen, Jia;  Luo, Xin;  Zhou, Mengchu
Favorite  |  View/Download：80/0  |  Submit date：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  
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
Authors:  Luo, Xin;  Zhou, Yue;  Liu, Zhigang;  Hu, Lun;  Zhou, MengChu
Favorite  |  View/Download：102/0  |  Submit date：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 Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
Authors:  Yuan, Ye;  Luo, Xin;  Shang, Mingsheng;  Wang, Zidong
Favorite  |  View/Download：74/0  |  Submit date：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