Graph regularized transductive classification on heterogeneous information networks M Ji, Y Sun, M Danilevsky, J Han, J Gao Machine Learning and Knowledge Discovery in Databases, 570-586, 2010 | 324 | 2010 |
Ranking-based classification of heterogeneous information networks M Ji, J Han, M Danilevsky Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 259 | 2011 |
MoveMine: Mining moving object data for discovery of animal movement patterns Z Li, J Han, M Ji, LA Tang, Y Yu, B Ding, JG Lee, R Kays ACM Transactions on Intelligent Systems and Technology (TIST) 2 (4), 37, 2011 | 187 | 2011 |
MoveMine: mining moving object databases Z Li, M Ji, JG Lee, LA Tang, Y Yu, J Han, R Kays Proceedings of the 2010 international conference on Management of data, 1203 …, 2010 | 141 | 2010 |
A variance minimization criterion to active learning on graphs M Ji, J Han Artificial Intelligence and Statistics, 556-564, 2012 | 115 | 2012 |
A Variance Minimization Criterion to Feature Selection Using Laplacian Regularization X He, M Ji, C Zhang, H Bao Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1-1, 2011 | 113 | 2011 |
A unified active and semi-supervised learning framework for image compression X He, M Ji, H Bao 2009 IEEE Conference on Computer Vision and Pattern Recognition, 65-72, 2009 | 86 | 2009 |
Graph embedding with constraints X He, M Ji, H Bao Proceedings of the 21st international jont conference on Artifical …, 2009 | 62 | 2009 |
A simple algorithm for semi-supervised learning with improved generalization error bound M Ji, T Yang, B Lin, R Jin, J Han arXiv preprint arXiv:1206.6412, 2012 | 38 | 2012 |
Learning search tasks in queries and web pages via graph regularization M Ji, J Yan, S Gu, J Han, X He, WV Zhang, Z Chen Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 37 | 2011 |
Parallel vector field embedding B Lin, X He, C Zhang, M Ji The Journal of Machine Learning Research 14 (1), 2945-2977, 2013 | 29 | 2013 |
Mc-minh: Metagenome clustering using minwise based hashing Z Rasheed, H Rangwala Proceedings of the 2013 SIAM International Conference on Data Mining, 677-685, 2013 | 22 | 2013 |
Mining strong relevance between heterogeneous entities from unstructured biomedical data M Ji, Q He, J Han, S Spangler Data Mining and Knowledge Discovery 29 (4), 976-998, 2015 | 21 | 2015 |
Mining strong relevance between heterogeneous entities from their co-ocurrences Q He, M Ji, WS Spangler US Patent App. 14/279,617, 2015 | 12 | 2015 |
Parallel field ranking M Ji, B Lin, X He, D Cai, J Han ACM Transactions on Knowledge Discovery from Data (TKDD) 7 (3), 1-21, 2013 | 7 | 2013 |
Efficient mining of correlated sequential patterns based on null hypothesis CX Lin, M Ji, M Danilevsky, J Han Proceedings of the 2012 international workshop on Web-scale knowledge …, 2012 | 6 | 2012 |
Graph-based classification on heterogeneous information networks M Ji, Y Sun, M Danilevsky, J Han | 2 | 2010 |
A statistical design approach to unsupervised codeword selection in image retrieval M Ji, W Zhao, Z Liu Neurocomputing 157, 323-334, 2015 | 1 | 2015 |
On the detectability of node grouping in networks C Wang, H Wang, J Liu, M Ji, L Su, Y Chen, J Han Proceedings of the 2013 SIAM International Conference on Data Mining, 713-721, 2013 | 1 | 2013 |
Semi-supervised learning and relevance search on networked data M Ji University of Illinois at Urbana-Champaign, 2014 | | 2014 |