| Learning with Local and Global Consistency. D Zhou, O Bousquet, TN Lal, J Weston, B Schölkopf Advances in neural information processing systems (NIPS) 16, 321-328, 2003 | 3925 | 2003 |
| Recommender systems with social regularization H Ma, D Zhou, C Liu, MR Lyu, I King Proceedings of the fourth ACM international conference on Web search and …, 2011 | 1395 | 2011 |
| Learning with hypergraphs: Clustering, classification, and embedding D Zhou, J Huang, B Schölkopf Advances in neural information processing systems (NIPS) 19, 1601, 2007 | 866 | 2007 |
| Ranking on data manifolds. D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf Advances in neural information processing systems (NIPS) 16, 169-176, 2003 | 806 | 2003 |
| Semi-supervised graph-based hyperspectral image classification G Camps-Valls, TVB Marsheva, D Zhou IEEE Transactions on Geoscience and Remote Sensing 45 (10), 3044-3054, 2007 | 598 | 2007 |
| Spectral clustering and transductive learning with multiple views D Zhou, CJC Burges Proceedings of the 24th international conference on Machine learning (ICML …, 2007 | 459 | 2007 |
| Learning from labeled and unlabeled data on a directed graph D Zhou, J Huang, B Schölkopf Proceedings of the 22nd international conference on Machine learning (ICML …, 2005 | 455 | 2005 |
| Evolutionary spectral clustering by incorporating temporal smoothness Y Chi, X Song, D Zhou, K Hino, BL Tseng Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 416 | 2007 |
| Query suggestion using hitting time Q Mei, D Zhou, K Church Proceedings of the 17th ACM conference on Information and knowledge …, 2008 | 407 | 2008 |
| Semi-supervised protein classification using cluster kernels J Weston, D Zhou, A Elisseeff, WS Noble, CS Leslie Advances in neural information processing systems, 595-602, 2004 | 294 | 2004 |
| Learning from the Wisdom of Crowds by Minimax Entropy. D Zhou, JC Platt, S Basu, Y Mao Advances in Neural Information Processing Systems (NIPS), 2204-2212, 2012 | 291 | 2012 |
| Semi-supervised Learning on Directed Graphs. D Zhou, B Schölkopf, T Hofmann Advances in neural information processing systems (NIPS) 17, 1633-1640, 2004 | 232 | 2004 |
| A regularization framework for learning from graph data D Zhou, B Schölkopf ICML Workshop on Statistical Relational Learning and Its Connections to …, 2004 | 221 | 2004 |
| Spectral methods meet EM: A provably optimal algorithm for crowdsourcing Y Zhang, X Chen, D Zhou, MI Jordan Advances in neural information processing systems, 1260-1268, 2014 | 196 | 2014 |
| Regularization on discrete spaces D Zhou, B Schölkopf Proceedings of the 27th DAGM Symposium, 361-368, 2005 | 183 | 2005 |
| Neuro-symbolic program synthesis E Parisotto, A Mohamed, R Singh, L Li, D Zhou, P Kohli arXiv preprint arXiv:1611.01855, 2016 | 165 | 2016 |
| Protein ranking: from local to global structure in the protein similarity network J Weston, A Elisseeff, D Zhou, CS Leslie, WS Noble Proceedings of the National Academy of Sciences 101 (17), 6559-6563, 2004 | 147 | 2004 |
| On evolutionary spectral clustering Y Chi, X Song, D Zhou, K Hino, BL Tseng ACM Transactions on Knowledge Discovery from Data (TKDD) 3 (4), 1-30, 2009 | 145 | 2009 |
| Learning from labeled and unlabeled data using random walks D Zhou, B Schölkopf Proceedings of the 26th DAGM Symposium, 237-244, 2004 | 144 | 2004 |
| Optimistic knowledge gradient policy for optimal budget allocation in crowdsourcing X Chen, Q Lin, D Zhou International conference on machine learning, 64-72, 2013 | 115 | 2013 |
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedAdresse e-mail validée de tuebingen.mpg.de
