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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 Fast Fuzzy Clustering Algorithm for Complex Networks via a Generalized Momentum Method 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 卷号: 30, 期号: 9, 页码: 3473-3485
作者:  Hu, Lun;  Pan, Xiangyu;  Tang, Zehai;  Luo, Xin
收藏  |  浏览/下载：100/0  |  提交时间：2022/10/14
Complex network  computational intelligence  data science  fuzzy clustering  generalized momentum  
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：55/0  |  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：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)  
Low-Rank High-Order Tensor Completion With Applications in Visual Data 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2433-2448
作者:  Qin, Wenjin;  Wang, Hailin;  Zhang, Feng;  Wang, Jianjun;  Luo, Xin;  Huang, Tingwen
收藏  |  浏览/下载：44/0  |  提交时间：2022/08/22
Low-rank order-d tensor completion  order-d tensor singular value decomposition  invertible linear transforms  convex optimization  sparsity measure  
An Effective Link-Based Clustering Algorithm for Detecting Overlapping Protein Complexes in Protein-Protein Interaction Networks 期刊论文
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2021, 卷号: 8, 期号: 4, 页码: 3275-3289
作者:  Hu, Lun;  Zhang, Jun;  Pan, Xiangyu;  Luo, Xin;  Yuan, Huaqiang
收藏  |  浏览/下载：43/0  |  提交时间：2022/08/22
Proteins  Clustering algorithms  Biology  Search problems  Partitioning algorithms  Optimization  Protein complex detection  protein-protein interaction network  link-based clustering  network clustering  
A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 7, 页码: 4285-4296
作者:  Wu, Di;  Luo, Xin;  Shang, Mingsheng;  He, Yi;  Wang, Guoyin;  Zhou, MengChu
收藏  |  浏览/下载：204/0  |  提交时间：2021/08/20
Big data  deep model  high-dimensional and sparse (HiDS) matrix  latent factor (LF) analysis  recommender system (RS)  
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：45/0  |  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 Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 6, 页码: 3522-3532
作者:  Luo, Xin;  Wang, Zidong;  Shang, Mingsheng
收藏  |  浏览/下载：82/0  |  提交时间：2021/08/20
High-dimensional and sparse (HiDS) data  industrial application  instance-frequency  non-negative latent factor analysis (NLFA)  recommender system  regularization  
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2021, 卷号: 7, 期号: 1, 页码: 227-240
作者:  Luo, Xin;  Zhou, Mengchu;  Li, Shuai;  Wu, Di;  Liu, Zhigang;  Shang, Mingsheng
收藏  |  浏览/下载：147/0  |  提交时间：2021/05/17
Data models  Training  Sparse matrices  Recommender systems  Computational modeling  Big Data  Scalability  Non-negative latent factor analysis  non-negativity  latent factor analysis  unconstrained optimization  high-dimensional and sparse matrix  collaborative filtering  recommender system  big data