| Feature selection at the discrete limit M Zhang, C Ding, Y Zhang, F Nie Proceedings of the AAAI conference on artificial intelligence 28 (1), 2014 | 75 | 2014 |
| Low-order tensor decompositions for social tagging recommendation Y Cai, M Zhang, D Luo, C Ding, S Chakravarthy Proceedings of the fourth ACM international conference on Web search and …, 2011 | 53 | 2011 |
| An efficient algorithm for L1-norm principal component analysis L Yu, M Zhang, C Ding 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 33 | 2012 |
| Robust tucker tensor decomposition for effective image representation M Zhang, C Ding Proceedings of the IEEE International Conference on Computer Vision, 2448-2455, 2013 | 29 | 2013 |
| Minimal Shrinkage for Noisy Data Recovery Using Schatten-p Norm Objective D Kong, M Zhang, C Ding Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 24 | 2013 |
| Probabilistic solutions of influence propagation on social networks M Zhang, C Dai, C Ding, E Chen Proceedings of the 22nd ACM international conference on Information …, 2013 | 21 | 2013 |
| Closed form solution of similarity algorithms Y Cai, M Zhang, C Ding, S Chakravarthy Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010 | 13 | 2010 |
| Tensor fold-in algorithms for social tagging prediction M Zhang, C Ding, Z Liao 2011 IEEE 11th International Conference on Data Mining, 1254-1259, 2011 | 9 | 2011 |
| A tripartite tensor decomposition fold-in for social tagging Z Liao, F Cai, M Zhang, Z Liao, Y Zhang Journal of Applied Science and Engineering 17 (4), 363-370, 2014 | 3 | 2014 |
| Collective kernel construction in noisy environment M Zhang, C Ding, D Kong Proceedings of the 2013 SIAM International Conference on Data Mining, 64-72, 2013 | 2 | 2013 |
| Social data analytics using tensors and sparse techniques M Zhang The University of Texas at Arlington, 2014 | 1 | 2014 |
