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湖南大学 [20]

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北京航空航天大学 [6]

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	A Pattern-Based SpGEMM Library for Multi-Core and Many-Core Architectures 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 159-175 作者: Xie, Zhen; Tan, Guangming; Liu, Weifeng; Sun, Ninghui 收藏 \| 浏览/下载：44/0 \| 提交时间：2021/12/01 Libraries Sparse matrices Prediction algorithms Neural networks Predictive models Memory management Tuners SpGEMM spare BLAS sparse format auto-tuning neural network
	A New Subspace Clustering Strategy for AI-Based Data Analysis in IoT System 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 16, 页码: 12540-12549 作者: Cui, Zhihua; Jing, Xuechun; Zhao, Peng; Zhang, Wensheng; Chen, Jinjun 收藏 \| 浏览/下载：53/0 \| 提交时间：2021/11/02 Sparse matrices Internet of Things Clustering algorithms Correlation Artificial intelligence Servers Hyperspectral imaging Close neighbors data analysis hyperspectral images (HSIs) Internet of Things (IoT) subspace clustering
	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：118/0 \| 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)
	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 收藏 \| 浏览/下载：27/0 \| 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
	A General Joint Matrix Factorization Framework for Data Integration and Its Systematic Algorithmic Exploration 期刊论文 IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 9, 页码: 1971-1983 作者: Zhang, Lihua; Zhang, Shihua 收藏 \| 浏览/下载：23/0 \| 提交时间：2021/01/14 Sparse matrices Pattern recognition Data integration Prediction algorithms Data models Matrix decomposition Signal processing algorithms Bioinformatics data integration network-regularized constraint nonnegative matrix factorization (NMF) pattern recognition
	Quick and Accurate False Data Detection in Mobile Crowd Sensing 期刊论文 IEEE-ACM TRANSACTIONS ON NETWORKING, 2020, 卷号: 28, 期号: 3, 页码: 1339-1352 作者: Li, Xiaocan; Xie, Kun; Wang, Xin; Xie, Gaogang; Xie, Dongliang 收藏 \| 浏览/下载：19/0 \| 提交时间：2020/12/10 Sparse matrices Sensors Matrix decomposition Monitoring Principal component analysis Robustness Wireless sensor networks Matrix separation false data detection mobile crowd sensing
	Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 5, 页码: 3006-3017 作者: Song, Yan; Li, Ming; Luo, Xin; Yang, Guisong; Wang, Chongjing 收藏 \| 浏览/下载：40/0 \| 提交时间：2020/08/24 Computational modeling Sparse matrices Biological system modeling Symmetric matrices Matrix decomposition Linear programming Convergence Big data data analysis latent factor nonnegativity sparse and large-scaled network symmetry triple-factorization undirected
	Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 1844-1855 作者: Luo, Xin; Zhou, MengChu; Li, Shuai; Hu, Lun; Shang, Mingsheng 收藏 \| 浏览/下载：8/0 \| 提交时间：2020/08/24 Computational modeling Data models Sparse matrices Linear programming Training Convergence Analytical models Alternating-direction-method of multipliers high-dimensional and sparse matrix industrial application non-negative latent factor analysis recommender system
	Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions 期刊论文 IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 3, 页码: 972-980 作者: Wang, L (Wang, Lei)[ 1 ]; You, ZH (You, Zhu-Hong)[ 2 ]; Huang, DS (Huang, De-Shuang)[ 3 ]; Zhou, FF (Zhou, Fengfeng)[ 4,5 ] 收藏 \| 浏览/下载：27/0 \| 提交时间：2020/12/09 Proteins RNA Convolution Neural networks Benchmark testing Feature extraction Sparse matrices Convolution neural network extreme learning machine RNA-protein interactions sequence
	Multi-view spectral clustering via partial sum minimisation of singular values 期刊论文 ELECTRONICS LETTERS, 2019, 卷号: 55, 页码: 314-315 作者: Zhai, Ling; Zhu, Jihua; Zheng, Qinghai 收藏 \| 浏览/下载：33/0 \| 提交时间：2019/11/19 singular values pattern clustering graph theory single view common normalised graph Laplacian low rank sparse matrices augmented Lagrangian multiplier algorithm common Laplacian robust multiview spectral clustering approach partial sum minimisation low-rank Laplacian multiview clustering results matrix decomposition optimisation

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