| Malsar: Multi-task learning via structural regularization J Zhou, J Chen, J Ye Arizona State University 21, 1-50, 2011 | 359 | 2011 |
| Clustered multi-task learning via alternating structure optimization J Zhou, J Chen, J Ye Advances in neural information processing systems 24, 2011 | 263 | 2011 |
| Integrating low-rank and group-sparse structures for robust multi-task learning J Chen, J Zhou, J Ye Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 226 | 2011 |
| Large-scale sparse logistic regression J Liu, J Chen, J Ye Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 197 | 2009 |
| A convex formulation for learning a shared predictive structure from multiple tasks J Chen, L Tang, J Liu, J Ye IEEE transactions on pattern analysis and machine intelligence 35 (5), 1025-1038, 2012 | 172 | 2012 |
| Learning incoherent sparse and low-rank patterns from multiple tasks J Chen, J Liu, J Ye ACM Transactions on Knowledge Discovery from Data (TKDD) 5 (4), 1-31, 2012 | 157 | 2012 |
| Multi-class Discriminant Kernel Learning via Convex Programming. J Ye, S Ji, J Chen Journal of Machine Learning Research 9 (4), 2008 | 125 | 2008 |
| Ranking relevance in yahoo search D Yin, Y Hu, J Tang, T Daly, M Zhou, H Ouyang, J Chen, C Kang, H Deng, ... Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 123 | 2016 |
| Integrating global and local structures: A least squares framework for dimensionality reduction J Chen, J Ye, Q Li 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 88 | 2007 |
| Nonlinear adaptive distance metric learning for clustering J Chen, Z Zhao, J Ye, H Liu Proccedings of the 13th ACM KDD, 123-132, 2007 | 75 | 2007 |
| Efficient recovery of jointly sparse vectors L Sun, J Liu, J Chen, J Ye Advances in Neural Information Processing Systems 22, 2009 | 66 | 2009 |
| Training SVM with indefinite kernels J Chen, J Ye Proceedings of the 25th international conference on Machine learning, 136-143, 2008 | 66 | 2008 |
| On Multiple Kernel Learning with Multiple Labels. L Tang, J Chen, J Ye IJCAI, 1255-1260, 2009 | 48 | 2009 |
| Link prediction across aligned networks with sparse and low rank matrix estimation J Zhang, J Chen, S Zhi, Y Chang, SY Philip, J Han 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 971-982, 2017 | 40 | 2017 |
| Classification of Drosophila embryonic developmental stage range based on gene expression pattern images J Ye, J Chen, Q Li, S Kumar Computational Systems Bioinformatics, 293-298, 2006 | 39 | 2006 |
| Exploiting task-feature co-clusters in multi-task learning L Xu, A Huang, J Chen, E Chen Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 33 | 2015 |
| Discriminant kernel and regularization parameter learning via semidefinite programming J Ye, J Chen, S Ji Proceedings of the 24th International Conference on Machine Learning, 1095-1102, 2007 | 32 | 2007 |
| Convex factorization machine for toxicogenomics prediction M Yamada, W Lian, A Goyal, J Chen, K Wimalawarne, SA Khan, S Kaski, ... Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 27 | 2017 |
| Jieping Ye. A convex formulation for learning shared structures from multiple tasks J Chen, L Tang, J Liu Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 26 | 2009 |
| Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming J Ye, S Ji, J Chen Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 26 | 2007 |
Jieping Ye, IEEE Fellow & ACM Distin...University of Michigan & BeikeBestätigte E-Mail-Adresse bei umich.edu
