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Ming-Sheng Shang
Ming-Sheng Shang
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences
Verified email at cigit.ac.cn
Title
Cited by
Cited by
Year
Identifying influential nodes in complex networks
D Chen, L Lü, MS Shang, YC Zhang, T Zhou
Physica a: Statistical mechanics and its applications 391 (4), 1777-1787, 2012
12012012
User-based collaborative-filtering recommendation algorithms on hadoop
ZD Zhao, MS Shang
2010 third international conference on knowledge discovery and data mining …, 2010
6012010
An inherently nonnegative latent factor model for high-dimensional and sparse matrices from industrial applications
X Luo, MC Zhou, S Li, MS Shang
IEEE Transactions on Industrial Informatics 14 (5), 2011-2022, 2017
1922017
A data-characteristic-aware latent factor model for web services QoS prediction
D Wu, X Luo, M Shang, Y He, G Wang, X Wu
IEEE Transactions on Knowledge and Data Engineering 34 (6), 2525-2538, 2020
1812020
A deep latent factor model for high-dimensional and sparse matrices in recommender systems
D Wu, X Luo, M Shang, Y He, G Wang, MC Zhou
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (7), 4285-4296, 2019
1802019
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
1782018
Detecting overlapping communities of weighted networks via a local algorithm
D Chen, M Shang, Z Lv, Y Fu
Physica A: Statistical Mechanics and its Applications 389 (19), 4177-4187, 2010
1782010
Empirical analysis of web-based user-object bipartite networks
MS Shang, L Lü, YC Zhang, T Zhou
Europhysics Letters 90 (4), 48006, 2010
1602010
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
1462019
Symmetric and nonnegative latent factor models for undirected, high-dimensional, and sparse networks in industrial applications
X Luo, J Sun, Z Wang, S Li, M Shang
IEEE Transactions on Industrial Informatics 13 (6), 3098-3107, 2017
1452017
An L1-and-L2-Norm-Oriented Latent Factor Model for Recommender Systems
D Wu, M Shang, X Luo, Z Wang
IEEE Transactions on Neural Networks and Learning Systems 33 (10), 5775-5788, 2021
1322021
Activated gradients for deep neural networks
M Liu, L Chen, X Du, L Jin, M Shang
IEEE Transactions on Neural Networks and Learning Systems, 2021
1292021
Collaborative filtering with diffusion-based similarity on tripartite graphs
MS Shang, ZK Zhang, T Zhou, YC Zhang
Physica A: Statistical Mechanics and its Applications 389 (6), 1259-1264, 2010
1262010
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
1222018
A posterior-neighborhood-regularized latent factor model for highly accurate web service QoS prediction
D Wu, Q He, X Luo, M Shang, Y He, G Wang
IEEE Transactions on Services Computing 15 (2), 793-805, 2019
1182019
An instance-frequency-weighted regularization scheme for non-negative latent factor analysis on high-dimensional and sparse data
X Luo, Z Wang, M Shang
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (6), 3522-3532, 2019
1152019
Non-negativity constrained missing data estimation for high-dimensional and sparse matrices from industrial applications
X Luo, MC Zhou, S Li, L Hu, M Shang
IEEE transactions on cybernetics 50 (5), 1844-1855, 2019
1142019
Self-training semi-supervised classification based on density peaks of data
D Wu, M Shang, X Luo, J Xu, H Yan, W Deng, G Wang
Neurocomputing 275, 180-191, 2018
1132018
Large-scale and scalable latent factor analysis via distributed alternative stochastic gradient descent for recommender systems
X Shi, Q He, X Luo, Y Bai, M Shang
IEEE Transactions on Big Data 8 (2), 420-431, 2020
1002020
A highly accurate framework for self-labeled semisupervised classification in industrial applications
D Wu, X Luo, G Wang, M Shang, Y Yuan, H Yan
IEEE Transactions on Industrial Informatics 14 (3), 909-920, 2017
982017
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