Ming-Sheng Shang
Ming-Sheng Shang
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences
Email verificata su cigit.ac.cn
Citata da
Citata da
Identifying influential nodes in complex networks
D Chen, L L, MS Shang, YC Zhang, T Zhou
Physica a: Statistical mechanics and its applications 391 (4), 1777-1787, 2012
User-based collaborative-filtering recommendation algorithms on hadoop
ZD Zhao, MS Shang
2010 Third International Conference on Knowledge Discovery and Data Mining…, 2010
Empirical analysis of web-based user-object bipartite networks
MS Shang, L L, YC Zhang, T Zhou
EPL (Europhysics Letters) 90 (4), 48006, 2010
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
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
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
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
A fast and efficient heuristic algorithm for detecting community structures in complex networks
D Chen, Y Fu, M Shang
Physica A: Statistical Mechanics and its Applications 388 (13), 2741-2749, 2009
Empirical Analysis on the Human Dynamics of a Large-Scale Short Message Communication System
ZD Zhao, H Xia, MS Shang, T Zhou
Chinese Physics Letters 28 (6), 068901, 2011
Can dissimilar users contribute to accuracy and diversity of personalized recommendation?
W Zeng, MS Shang, QM Zhang, L L, T Zhou
International Journal of Modern Physics C 21 (10), 1217-1227, 2010
Interest-driven model for human dynamics
S Ming-Sheng, C Guan-Xiong, DAI Shuang-Xing, W Bing-Hong, Z Tao
Chinese Physics Letters 27 (4), 048701, 2010
Relevance is more significant than correlation: Information filtering on sparse data
MS Shang, L L, W Zeng, YC Zhang, T Zhou
EPL (Europhysics Letters) 88 (6), 68008, 2010
Extracting the information backbone in online system
QM Zhang, A Zeng, MS Shang
PLoS One. 2013; 8(5): e62624., 2013
周涛, 汪秉宏, 韩筱璞, 尚明生
系统工程学报 25 (6), 742-754, 2010
A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices.
X Luo, M Zhou, M Shang, S Li, Y Xia
IEEE Access 4, 2649 - 2655, 2016
The reinforcing influence of recommendations on global diversification
A Zeng, CH Yeung, MS Shang, YC Zhang
EPL (Europhysics Letters) 97 (1), 18005, 2012
Collaborative filtering based on multi-channel diffusion
MS Shang, CH Jin, T Zhou, YC Zhang
Physica A: Statistical Mechanics and its Applications 388 (23), 4867-4871, 2009
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
Diffusion-based recommendation in collaborative tagging systems
S Ming-Sheng, Z Zi-Ke
Chinese Physics Letters 26 (11), 118903, 2009
Uncovering the information core in recommender systems
W Zeng, A Zeng, H Liu, MS Shang, T Zhou
Scientific reports 4, 6140, 2014
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