| Learning with support vector machines C Campbell, Y Ying Springer Nature, 2022 | 504 | 2022 |
| Distance metric learning with eigenvalue optimization Y Ying, P Li The Journal of Machine Learning Research 13 (1), 1-26, 2012 | 378 | 2012 |
| Support vector machine soft margin classifiers: error analysis DR Chen, Q Wu, Y Ying, DX Zhou The Journal of Machine Learning Research 5, 1143-1175, 2004 | 316 | 2004 |
| A spectral regularization framework for multi-task structure learning A Argyriou, M Pontil, Y Ying, C Micchelli Advances in neural information processing systems 20, 2007 | 309 | 2007 |
| Learning rates of least-square regularized regression Q Wu, Y Ying, DX Zhou Foundations of computational mathematics 6, 171-192, 2006 | 285 | 2006 |
| Similarity Metric Learning for Face Recognition Q Cao, Y Ying, P Li International Conference on Computer Vision (ICCV), 2013 | 252 | 2013 |
| Universal multi-task kernels A Caponnetto, CA Micchelli, M Pontil, Y Ying The Journal of Machine Learning Research 9, 1615-1646, 2008 | 217 | 2008 |
| Multi-kernel regularized classifiers Q Wu, Y Ying, DX Zhou Journal of Complexity 23 (1), 108-134, 2007 | 214 | 2007 |
| Stochastic online AUC maximization Y Ying, L Wen, S Lyu Advances in neural information processing systems 29, 2016 | 209 | 2016 |
| Online gradient descent learning algorithms Y Ying, M Pontil Foundations of Computational Mathematics 8, 561-596, 2008 | 152 | 2008 |
| Online regularized classification algorithms Y Ying, DX Zhou IEEE Transactions on Information Theory 52 (11), 4775-4788, 2006 | 146 | 2006 |
| Generalization bounds for metric and similarity learning Q Cao, ZC Guo, Y Ying Machine Learning 102 (1), 115-132, 2016 | 144 | 2016 |
| Fine-grained analysis of stability and generalization for stochastic gradient descent Y Lei, Y Ying International Conference on Machine Learning, 5809-5819, 2020 | 140 | 2020 |
| Sparse metric learning via smooth optimization Y Ying, K Huang, C Campbell Advances in neural information processing systems 22, 2009 | 140 | 2009 |
| Learning with average top-k loss Y Fan, S Lyu, Y Ying, B Hu Advances in neural information processing systems 30, 2017 | 120 | 2017 |
| Stochastic auc maximization with deep neural networks M Liu, Z Yuan, Y Ying, T Yang arXiv preprint arXiv:1908.10831, 2019 | 104 | 2019 |
| Time series anomaly detection for trustworthy services in cloud computing systems C Huang, G Min, Y Wu, Y Ying, K Pei, Z Xiang IEEE Transactions on Big Data 8 (1), 60-72, 2017 | 98 | 2017 |
| AUC maximization in the era of big data and AI: A survey T Yang, Y Ying ACM Computing Surveys 55 (8), 1-37, 2022 | 91 | 2022 |
| Learnability of Gaussians with flexible variances Y Ying, DX Zhou Journal of Machine Learning Reseach 8, 249-276, 2007 | 91 | 2007 |
| Gsml: A unified framework for sparse metric learning K Huang, Y Ying, C Campbell Data Mining, 2009. ICDM'09. Ninth IEEE International Conference on, 189-198, 2009 | 86* | 2009 |
Colin CampbellUniversity of Bristol在 bris.ac.uk 的电子邮件经过验证
