| Orthogonal moments based on exponent functions: Exponent-Fourier moments H Hu, Y Zhang, C Shao, Q Ju Pattern Recognition 47 (8), 2596-2606, 2014 | 81 | 2014 |
| Image copy-move forgery detecting based on local invariant feature. L Jing, C Shao Journal of multimedia 7 (1), 2012 | 60 | 2012 |
| Selection of the suitable neighborhood size for the ISOMAP algorithm C Shao, H Huang, C Wan 2007 International Joint Conference on Neural Networks, 300-305, 2007 | 20 | 2007 |
| Selection of the optimal parameter value for the isomap algorithm C Shao, H Huang Mexican International Conference on Artificial Intelligence, 396-404, 2005 | 18 | 2005 |
| Robust l-Isomap with a novel landmark selection method H Shi, B Yin, Y Kang, C Shao, J Gui Mathematical Problems in Engineering 2017, 2017 | 17 | 2017 |
| A more topologically stable ISOMAP algorithm 邵超， 黄厚宽， 赵连伟 Journal of software 18 (4), 869-877, 2007 | 16 | 2007 |
| New data visualization algorithm based on SOM. C Shao, H Huang Jisuanji Yanjiu yu Fazhan(Computer Research and Development) 43 (3), 429-435, 2006 | 15 | 2006 |
| Improvement of data visualization based on SOM C Shao, H Huang International Symposium on Neural Networks, 707-712, 2004 | 10 | 2004 |
| Errata and comments on “Errata and comments on orthogonal moments based on exponent functions: exponent-Fourier moments” H Hu, Q Ju, C Shao Pattern Recognition 52, 471-476, 2016 | 9 | 2016 |
| Accurate histogram release under differential privacy XJ Zhang, C Shao, XF Meng J. Comput. Res. Develop 53 (5), 1106-1117, 2016 | 9 | 2016 |
| Extension of ISOMAP for Imperfect Manifolds. C Shao, H Hu J. Comput. 7 (7), 1780-1785, 2012 | 8 | 2012 |
| Selection of the Suitable Parameter Value for ISOMAP. L Jing, C Shao J. Softw. 6 (6), 1034-1041, 2011 | 8 | 2011 |
| Improvement of data visualization based on isomap C Shao, H Huang Mexican International Conference on Artificial Intelligence, 534-543, 2005 | 8 | 2005 |
| Distance-Preserving SOM: A New Data Visualization Algorithm. C Shao, Y Yang J. Softw. 7 (1), 196-203, 2012 | 6 | 2012 |
| P-ISOMAP: A new ISOMAP-based data visualization algorithm with less sensitivity to the neighborhood size. C Shao, HK Huang, LW Zhao Dianzi Xuebao(Acta Electronica Sinica) 34 (8), 1497-1501, 2006 | 5 | 2006 |
| MANIFOLD LEARNING AND VISUALIZATION BASED ON DYNAMIC SELF-ORGANIZING MAP. C Shao, C Wan, H Hu Neural Network World 25 (2), 2015 | 3 | 2015 |
| Combining label information and neighborhood graph for semi-supervised learning L Zhao, S Luo, M Tian, C Shao, H Ma International Symposium on Neural Networks, 482-488, 2006 | 2 | 2006 |
| Parameter estimation in Markov random field based on evolutionary programming C Shao, HK Huang, J Yu Proceedings of 2004 International Conference on Machine Learning and …, 2004 | 2 | 2004 |
| Selection of the Suitable Neighborhood Size Based on Bayesian Information Criterion C Shao, B Zhang 2010 Third International Joint Conference on Computational Science and …, 2010 | 1 | 2010 |
| A SOM-Based Method for Manifold Learning and Visualization C Shao, X Zhang, C Wan, W Shang 2009 International Joint Conference on Computational Sciences and …, 2009 | 1 | 2009 |
