| Convolutional matrix factorization for document context-aware recommendation D Kim, C Park, J Oh, S Lee, H Yu Proceedings of the 10th ACM conference on recommender systems, 233-240, 2016 | 739 | 2016 |
| Classifying large data sets using SVMs with hierarchical clusters H Yu, J Yang, J Han Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003 | 439 | 2003 |
| PEBL: positive example based learning for web page classification using SVM H Yu, J Han, KCC Chang Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 386 | 2002 |
| PEBL: Web page classification without negative examples H Yu, J Han, KCC Chang IEEE Transactions on Knowledge and Data Engineering 16 (1), 70-81, 2004 | 335 | 2004 |
| TurboGraph: a fast parallel graph engine handling billion-scale graphs in a single PC WS Han, S Lee, K Park, JH Lee, MS Kim, J Kim, H Yu Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 276 | 2013 |
| Privacy-preserving svm classification on vertically partitioned data H Yu, J Vaidya, X Jiang Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia …, 2006 | 253 | 2006 |
| Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data H Yu, X Jiang, J Vaidya Proceedings of the 2006 ACM symposium on Applied computing, 603-610, 2006 | 248 | 2006 |
| SVM Tutorial-Classification, Regression and Ranking. H Yu, S Kim Handbook of Natural computing 1, 479-506, 2012 | 237 | 2012 |
| Personality factors predicting smartphone addiction predisposition: Behavioral inhibition and activation systems, impulsivity, and self-control Y Kim, JE Jeong, H Cho, DJ Jung, M Kwak, MJ Rho, H Yu, DJ Kim, ... PloS one 11 (8), e0159788, 2016 | 231 | 2016 |
| Privacy-preserving SVM classification J Vaidya, H Yu, X Jiang Knowledge and Information Systems 14, 161-178, 2008 | 207 | 2008 |
| Scalable and parallelizable processing of influence maximization for large-scale social networks? J Kim, SK Kim, H Yu 2013 IEEE 29th international conference on data engineering (ICDE), 266-277, 2013 | 183 | 2013 |
| Mining behavior graphs for “backtrace” of noncrashing bugs C Liu, X Yan, H Yu, J Han, PS Yu Proceedings of the 2005 SIAM international conference on data mining, 286-297, 2005 | 179 | 2005 |
| Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods BH Cho, H Yu, KW Kim, TH Kim, IY Kim, SI Kim Artificial intelligence in medicine 42 (1), 37-53, 2008 | 168 | 2008 |
| Protecting location privacy using location semantics B Lee, J Oh, H Yu, J Kim Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 144 | 2011 |
| Unsupervised attributed multiplex network embedding C Park, D Kim, J Han, H Yu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5371-5378, 2020 | 118 | 2020 |
| SVM selective sampling for ranking with application to data retrieval H Yu Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 113 | 2005 |
| Deep hybrid recommender systems via exploiting document context and statistics of items D Kim, C Park, J Oh, H Yu Information Sciences 417, 72-87, 2017 | 108 | 2017 |
| Novel recommendation based on personal popularity tendency J Oh, S Park, H Yu, M Song, ST Park 2011 IEEE 11th international conference on data mining, 507-516, 2011 | 97 | 2011 |
| Dilof: Effective and memory efficient local outlier detection in data streams GS Na, D Kim, H Yu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 90 | 2018 |
| Multilingual named entity recognition using parallel data and metadata from wikipedia S Kim, K Toutanova, H Yu Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012 | 90 | 2012 |
