| Ensembling local learners ThroughMultimodal perturbation ZH Zhou, Y Yu Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 35 …, 2005 | 128 | 2005 |
| Diversity Regularized Ensemble Pruning N Li, Y Yu, ZH Zhou European Conference on Machine Learning, 2012 | 115 | 2012 |
| Taking human out of learning applications: A survey on automated machine learning Q Yao, M Wang, Y Chen, W Dai, YF Li, WW Tu, Q Yang, Y Yu https://arxiv.org/abs/1810.13306, 2018 | 96 | 2018 |
| A new approach to estimating the expected first hitting time of evolutionary algorithms Y Yu, ZH Zhou Artificial Intelligence 172 (15), 1809-1832, 2008 | 96 | 2008 |
| Subset selection by Pareto optimization C Qian, Y Yu, ZH Zhou Advances in Neural Information Processing Systems 28, 1774-1782, 2015 | 90 | 2015 |
| Multi-Label Hypothesis Reuse SJ Huang, Y Yu, ZH Zhou | 89 | 2012 |
| Learning with augmented class by exploiting unlabeled data Q Da, Y Yu, ZH Zhou 28th AAAI Conference on Artificial Intelligence (AAAI'14), 1760-1766, 2014 | 81 | 2014 |
| Pareto ensemble pruning C Qian, Y Yu, ZH Zhou Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 78 | 2015 |
| An analysis on recombination in multi-objective evolutionary optimization C Qian, Y Yu, ZH Zhou Artificial Intelligence 204, 99-119, 2011 | 74 | 2011 |
| On the approximation ability of evolutionary optimization with application to minimum set cover Y Yu, X Yao, ZH Zhou Artificial Intelligence, 2012 | 73 | 2012 |
| Spectrum of variable-random trees FT Liu, KM Ting, Y Yu, ZH Zhou Journal of Artificial Intelligence Research 32 (1), 355-384, 2008 | 72 | 2008 |
| Reinforcement learning to rank in e-commerce search engine: Formalization, analysis, and application Y Hu, Q Da, A Zeng, Y Yu, Y Xu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 71 | 2018 |
| Multi-layered gradient boosting decision trees J Feng, Y Yu, ZH Zhou Advances in Neural Information Processing Systems, 3551-3561, 2018 | 59 | 2018 |
| Stabilizing reinforcement learning in dynamic environment with application to online recommendation SY Chen, Y Yu, Q Da, J Tan, HK Huang, HH Tang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 56 | 2018 |
| Derivative-free optimization via classification Y Yu, H Qian, YQ Hu Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 53 | 2016 |
| Diversity Regularized Machine Y Yu, YF Li, ZH Zhou Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 50 | 2011 |
| On the effectiveness of sampling for evolutionary optimization in noisy environments C Qian, Y Yu, K Tang, Y Jin, X Yao, ZH Zhou Evolutionary computation, 1-31, 2016 | 46 | 2016 |
| Adapt bagging to nearest neighbor classifiers ZH Zhou, Y Yu Journal of Computer Science and Technology 20 (1), 48-54, 2005 | 45 | 2005 |
| Analyzing evolutionary optimization in noisy environments C Qian, Y Yu, ZH Zhou Evolutionary computation 26 (1), 1-41, 2018 | 36 | 2018 |
| Open-Category Classification by Adversarial Sample Generation Y Yu, WY Qu, N Li, Z Guo arXiv preprint arXiv:1705.08722, 2017 | 35 | 2017 |
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn
