受强制性开放获取政策约束的文章 - Zhigang Liu (刘志刚)了解详情
无法在其他位置公开访问的文章：15 篇
Symmetric nonnegative matrix factorization-based community detection models and their convergence analysis
X Luo, Z Liu, L Jin, Y Zhou, MC Zhou
IEEE Transactions on Neural Networks and Learning Systems 33 (3), 1203-1215, 2021
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Algorithms of unconstrained non-negative latent factor analysis for recommender systems
X Luo, M Zhou, S Li, D Wu, Z Liu, M Shang
IEEE Transactions on Big Data 7 (1), 227-240, 2019
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Fast and accurate non-negative latent factor analysis of high-dimensional and sparse matrices in recommender systems
X Luo, Y Zhou, Z Liu, MC Zhou
IEEE Transactions on Knowledge and Data Engineering 35 (4), 3897-3911, 2021
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Highly-accurate community detection via pointwise mutual information-incorporated symmetric non-negative matrix factorization
X Luo, Z Liu, M Shang, J Lou, MC Zhou
IEEE Transactions on Network Science and Engineering 8 (1), 463-476, 2020
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Non-negative latent factor model based on β-divergence for recommender systems
L Xin, Y Yuan, MC Zhou, Z Liu, M Shang
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (8), 4612-4623, 2019
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Adjusting learning depth in nonnegative latent factorization of tensors for accurately modeling temporal patterns in dynamic QoS data
X Luo, M Chen, H Wu, Z Liu, H Yuan, MC Zhou
IEEE Transactions on Automation Science and Engineering 18 (4), 2142-2155, 2021
强制性开放获取政策： 国家自然科学基金委员会
Generalized nesterov's acceleration-incorporated, non-negative and adaptive latent factor analysis
X Luo, Y Zhou, Z Liu, L Hu, MC Zhou
IEEE Transactions on Services Computing 15 (5), 2809-2823, 2021
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Symmetry and graph bi-regularized non-negative matrix factorization for precise community detection
Z Liu, X Luo, M Zhou
IEEE Transactions on Automation Science and Engineering 21 (2), 1406-1420, 2023
强制性开放获取政策： 国家自然科学基金委员会
A high-order proximity-incorporated nonnegative matrix factorization-based community detector
Z Liu, Y Yi, X Luo
IEEE Transactions on Emerging Topics in Computational Intelligence 7 (3 …, 2023
强制性开放获取政策： 国家自然科学基金委员会
Multi-constrained embedding for accurate community detection on undirected networks
Q Wang, X Liu, T Shang, Z Liu, H Yang, X Luo
IEEE Transactions on Network Science and Engineering 9 (5), 3675-3690, 2022
强制性开放获取政策： 国家自然科学基金委员会
Constraint-induced symmetric nonnegative matrix factorization for accurate community detection
Z Liu, X Luo, Z Wang, X Liu
Information Fusion 89, 588-602, 2023
强制性开放获取政策： 国家自然科学基金委员会
Accelerated non-negative latent factor analysis on high-dimensional and sparse matrices via generalized momentum method
Z Liu, X Luo, S Li, M Shang
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
An Unsupervised Online Streaming Feature Selection Algorithm with Density Peak Clustering
Y Song, Z Liu
2023 International Conference on Networking, Sensing and Control (ICNSC) 1, 1-6, 2023
强制性开放获取政策： 国家自然科学基金委员会
Convergence analysis of a fast non-negative latent factor model
Y Zhou, Z Liu, X Yu, Y Wu
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019
强制性开放获取政策： 国家自然科学基金委员会
Convergence analysis of an SLF-NMU algorithm for non-negative latent factor analysis on a high-dimensional and sparse matrix
Z Liu, X Luo
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
可在其他位置公开访问的文章：5 篇
A fast non-negative latent factor model based on generalized momentum method
X Luo, Z Liu, S Li, M Shang, Z Wang
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (1), 610-620, 2018
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications
M Shang, X Luo, Z Liu, J Chen, Y Yuan, MC Zhou
IEEE/CAA Journal of Automatica Sinica 6 (1), 131-141, 2018
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Convergence analysis of single latent factor-dependent, nonnegative, and multiplicative update-based nonnegative latent factor models
Z Liu, X Luo, Z Wang
IEEE Transactions on Neural Networks and Learning Systems 32 (4), 1737-1749, 2020
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model
Y Zhong, W Li, Z Liu, X Luo
2023 IEEE International Conference on Data Mining Workshops (ICDMW), 451-455, 2023
强制性开放获取政策： 国家自然科学基金委员会
Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks
Y Zhou, ZG Liu, Y Yuan
2022 IEEE International Conference on Networking, Sensing and Control (ICNSC …, 2022
强制性开放获取政策： 国家自然科学基金委员会
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