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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：61/0  |  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  
A Novel Calibration System for Robot Arm via an Open Dataset and a Learning Perspective 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 卷号: 69, 期号: 12, 页码: 5169-5173
作者:  Li, Zhibin;  Li, Shuai;  Francis, Adam;  Luo, Xin
收藏  |  浏览/下载：518/0  |  提交时间：2023/04/06
Robot calibration system  kinematic parameters  industrial robot arm  extended Kalman filter  improved covariance matrix adaptation evolution strategy  absolute positioning accuracy  
Two-stage hemoglobin prediction based on prior causality 期刊论文
FRONTIERS IN PUBLIC HEALTH, 2022, 卷号: 10, 页码: 12
作者:  Chen, Yuwen;  Zhong, Kunhua;  Zhu, Yiziting;  Sun, Qilong
收藏  |  浏览/下载：27/0  |  提交时间：2023/02/07
non-invasive  prediction  causal knowledge  hemoglobin  segmentation  
Joint hyperbolic and Euclidean geometry contrastive graph neural networks 期刊论文
INFORMATION SCIENCES, 2022, 卷号: 609, 页码: 799-815
作者:  Xu, Xiaoyu;  Pang, Guansong;  Wu, Di;  Shang, Mingsheng
收藏  |  浏览/下载：98/0  |  提交时间：2022/10/14
Graph neural networks  Hyperbolic embedding  Contrastive learning  Graph representation learning  
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：74/0  |  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  
Adjusted stochastic gradient descent for latent factor analysis 期刊论文
INFORMATION SCIENCES, 2022, 卷号: 588, 页码: 196-213
作者:  Li, Qing;  Xiong, Diwen;  Shang, Mingsheng
收藏  |  浏览/下载：45/0  |  提交时间：2022/08/22
Big data analysis  High-dimensional and incomplete matrix  Stochastic gradient descent  Latent factor analysis  Gradient adjustment  Adaptive model  Particle swarm optimization  Local optima  
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
收藏  |  浏览/下载：59/0  |  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  
A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 3, 页码: 533-546
作者:  Wu, Hao;  Luo, Xin;  Zhou, MengChu;  Rawa, Muhyaddin J.;  Sedraoui, Khaled;  Albeshri, Aiiad
收藏  |  浏览/下载：53/0  |  提交时间：2022/08/22
Big data  high dimensional and incomplete (HDI) tensor  latent factorization-of-tensors (LFT)  machine learning  missing data  optimization  proportional-integral-derivative (PID) controller  
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：49/0  |  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)  
Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 587-599
作者:  Shi, Yang;  Jin, Long;  Li, Shuai;  Li, Jian;  Qiang, Jipeng;  Gerontitis, Dimitrios K.
收藏  |  浏览/下载：69/0  |  提交时间：2022/08/22
Mathematical model  Linear matrix inequalities  Numerical models  Computational modeling  Recurrent neural networks  Analytical models  Manipulators  Convergence  discrete-form time-variant multi-augmented Sylvester matrix problems  discrete-time recurrent neural networks (RNNs)  discretization formula  robot manipulator application