| Exploratory undersampling for class-imbalance learning XY Liu, J Wu, ZH Zhou Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 39 …, 2009 | 3485 | 2009 |
| Training cost-sensitive neural networks with methods addressing the class imbalance problem ZH Zhou, XY Liu Knowledge and Data Engineering, IEEE Transactions on 18 (1), 63-77, 2006 | 1793 | 2006 |
| Binary relevance for multi-label learning: an overview ML Zhang, YK Li, XY Liu, X Geng Frontiers of Computer Science, 1-12, 2018 | 555 | 2018 |
| On multi-class cost-sensitive learning ZH Zhou, XY Liu Computational Intelligence 26 (3), 232-257, 2010 | 480 | 2010 |
| On multi-class cost-sensitive learning ZH Zhou, XY Liu PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE 21 (1), 567, 2006 | 480* | 2006 |
| The influence of class imbalance on cost-sensitive learning: an empirical study XY Liu, ZH Zhou Data Mining, 2006. ICDM'06. Sixth International Conference on, 970-974, 2006 | 417 | 2006 |
| Towards Class-Imbalance Aware Multi-Label Learning ML Zhang, YK Li, XY Liu Proceedings of the 24th International Joint Conference on Artificial …, 2015 | 233* | 2015 |
| Partial label learning via feature-aware disambiguation ML Zhang, BB Zhou, XY Liu Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 200 | 2016 |
| Ensemble Methods for Class Imbalance Learning XY Liu, ZH Zhou Imbalanced Learning: Foundations, Algorithms, and Applications, 61, 2013 | 88 | 2013 |
| Learning Imbalanced Multi-class Data with Optimal Dichotomy Weights XY Liu, QQ Li, ZH Zhou Data Mining (ICDM), 2013 IEEE 13th International Conference on, 478-487, 2013 | 76 | 2013 |
| Learning with cost intervals XY Liu, ZH Zhou Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 47 | 2010 |
| Crest: Cluster-based Representation Enrichment for Short Text Classification Z Dai, A Sun, XY Liu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 256-267, 2013 | 33 | 2013 |
| Towards Cost-Sensitive Learning for Real-World Applications XY Liu, ZH Zhou New Frontiers in Applied Data Mining, 494-505, 2012 | 18 | 2012 |
| Transfer synthetic over-sampling for class-imbalance learning with limited minority class data XY Liu, ST Wang, ML Zhang Frontiers of Computer Science, 1-14, 0 | 18 | |
| Imbalanced Augmented Class Learning with Unlabeled Data by Label Confidence Propagation SY Ding, XY Liu, ML Zhang 2018 IEEE International Conference on Data Mining (ICDM), 79-88, 2018 | 6 | 2018 |
| Learning from combination of data chunks for multi-class imbalanced data XY Liu, QQ Li Neural Networks (IJCNN), 2014 International Joint Conference on, 1680-1687, 2014 | 4 | 2014 |
| An Empirical Study of Boosting Methods on Severely Imbalanced Data. XY Liu Applied Mechanics & Materials, 2014 | 4 | 2014 |
| Predicting future customers via ensembling gradually expanded trees Y Yu, DC Zhan, XY Liu, M Li, ZH Zhou International Journal of Data Warehousing and Mining (IJDWM) 3 (2), 12-21, 2007 | 4 | 2007 |
| HSS-Bin: an Unsupervised Metagenomic Binning Method Based on Hybrid Sequence Feature Recognition and Spectral Clustering XLXS Xiao Ding, Chang-Chang Cao, Xu-Ying Liu, Fu-Dong Cheng Bioinformatics, 2016 | | 2016 |
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn
