| Learning from crowds. VC Raykar, S Yu, LH Zhao, GH Valadez, C Florin, L Bogoni, L Moy Journal of Machine Learning Research 11 (4), 2010 | 1191 | 2010 |
| Vips: a vision-based page segmentation algorithm D Cai, S Yu, JR Wen, WY Ma | 871 | 2003 |
| Extracting content structure for web pages based on visual representation D Cai, S Yu, JR Wen, WY Ma Asia-Pacific Web Conference, 406-417, 2003 | 539 | 2003 |
| Improving pseudo-relevance feedback in web information retrieval using web page segmentation S Yu, D Cai, JR Wen, WY Ma Proceedings of the 12th international conference on World Wide Web, 11-18, 2003 | 416 | 2003 |
| Supervised learning from multiple experts: whom to trust when everyone lies a bit VC Raykar, S Yu, LH Zhao, A Jerebko, C Florin, GH Valadez, L Bogoni, ... Proceedings of the 26th Annual international conference on machine learning …, 2009 | 359 | 2009 |
| Eliminating spammers and ranking annotators for crowdsourced labeling tasks VC Raykar, S Yu The Journal of Machine Learning Research 13 (1), 491-518, 2012 | 340 | 2012 |
| Multi-label informed latent semantic indexing K Yu, S Yu, V Tresp Proceedings of the 28th annual international ACM SIGIR conference on …, 2005 | 277 | 2005 |
| Block-based web search D Cai, S Yu, JR Wen, WY Ma Proceedings of the 27th annual international ACM SIGIR conference on …, 2004 | 253 | 2004 |
| Extracting shared subspace for multi-label classification S Ji, L Tang, S Yu, J Ye Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 220 | 2008 |
| Stochastic relational models for discriminative link prediction K Yu, W Chu, S Yu, V Tresp, Z Xu Advances in neural information processing systems, 1553-1560, 2007 | 220 | 2007 |
| Bayesian co-training S Yu, B Krishnapuram, R Rosales, RB Rao The Journal of Machine Learning Research 12, 2649-2680, 2011 | 207 | 2011 |
| A shared-subspace learning framework for multi-label classification S Ji, L Tang, S Yu, J Ye ACM Transactions on Knowledge Discovery from Data (TKDD) 4 (2), 1-29, 2010 | 162 | 2010 |
| Supervised probabilistic principal component analysis S Yu, K Yu, V Tresp, HP Kriegel, M Wu Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 146 | 2006 |
| Soft clustering on graphs K Yu, S Yu, V Tresp Advances in neural information processing systems, 1553-1560, 2006 | 131 | 2006 |
| The importance of patient characteristics for the prediction of radiation-induced lung toxicity C Dehing-Oberije, D De Ruysscher, A van Baardwijk, S Yu, B Rao, ... Radiotherapy and Oncology 91 (3), 421-426, 2009 | 101 | 2009 |
| Computer-Based Patient Management for Healthcare F Farooq, RE Rosales, S Yu, B Krishnapuram, BR Rao US Patent App. 13/228,497, 2012 | 97 | 2012 |
| Comparison of Bayesian network and support vector machine models for two‐year survival prediction in lung cancer patients treated with radiotherapy K Jayasurya, G Fung, S Yu, C Dehing‐Oberije, D De Ruysscher, A Hope, ... Medical physics 37 (4), 1401-1407, 2010 | 96 | 2010 |
| Robust multi-task learning with t-processes S Yu, V Tresp, K Yu Proceedings of the 24th international conference on Machine learning, 1103-1110, 2007 | 94 | 2007 |
| Development and external validation of prognostic model for 2-year survival of non–small-cell lung cancer patients treated with chemoradiotherapy C Dehing-Oberije, S Yu, D De Ruysscher, S Meersschout, K Van Beek, ... International Journal of Radiation Oncology* Biology* Physics 74 (2), 355-362, 2009 | 91 | 2009 |
| Predicting readmission risk with institution-specific prediction models S Yu, F Farooq, A Van Esbroeck, G Fung, V Anand, B Krishnapuram Artificial intelligence in medicine 65 (2), 89-96, 2015 | 90 | 2015 |
