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2020 – today
- 2022
[j8]Min-Ling Zhang
, Yu-Kun Li, Hao Yang, Xu-Ying Liu:
Towards Class-Imbalance Aware Multi-Label Learning. IEEE Trans. Cybern. 52(6): 4459-4471 (2022)- 2020
- [j7]Yu Zhang, Yin Wang, Xu-Ying Liu, Siya Mi, Min-Ling Zhang:
Large-scale multi-label classification using unknown streaming images. Pattern Recognit. 99 (2020) - [c12]Hong-Yunn Chen, Chen-Yu Yang, Xu-Ying Liu, Cheng-Fu Chou:
On Deep Learning Based Feedback and Precoding For Multi-user Millimeter-Wave Enabled VR/AR. ICCE-TW 2020: 1-2
2010 – 2019
- 2019
- [j6]Xu-Ying Liu, Sheng-Tao Wang, Min-Ling Zhang:
Transfer synthetic over-sampling for class-imbalance learning with limited minority class data. Frontiers Comput. Sci. 13(5): 996-1009 (2019) - 2018
- [j5]Min-Ling Zhang, Yu-Kun Li, Xu-Ying Liu, Xin Geng:
Binary relevance for multi-label learning: an overview. Frontiers Comput. Sci. 12(2): 191-202 (2018) - [c11]Si-Yu Ding, Xu-Ying Liu, Min-Ling Zhang:
Imbalanced Augmented Class Learning with Unlabeled Data by Label Confidence Propagation. ICDM 2018: 79-88 - 2016
- [c10]Min-Ling Zhang, Bin-Bin Zhou, Xu-Ying Liu:
Partial Label Learning via Feature-Aware Disambiguation. KDD 2016: 1335-1344 - 2015
- [c9]Min-Ling Zhang, Yu-Kun Li, Xu-Ying Liu:
Towards Class-Imbalance Aware Multi-Label Learning. IJCAI 2015: 4041-4047 - 2014
- [c8]Xu-Ying Liu, Qian-Qian Li:
Learning from combination of data chunks for multi-class imbalanced data. IJCNN 2014: 1680-1687 - 2013
- [c7]Xu-Ying Liu, Qian-Qian Li, Zhi-Hua Zhou:
Learning Imbalanced Multi-class Data with Optimal Dichotomy Weights. ICDM 2013: 478-487 - [c6]Zichao Dai, Aixin Sun, Xu-Ying Liu:
Crest: Cluster-based Representation Enrichment for Short Text Classification. PAKDD (2) 2013: 256-267 - 2011
- [c5]Xu-Ying Liu, Zhi-Hua Zhou:
Towards Cost-Sensitive Learning for Real-World Applications. PAKDD Workshops 2011: 494-505 - 2010
- [j4]Zhi-Hua Zhou, Xu-Ying Liu:
On Multi-Class Cost-Sensitive Learning. Comput. Intell. 26(3): 232-257 (2010) - [c4]Xu-Ying Liu, Zhi-Hua Zhou:
Learning with cost intervals. KDD 2010: 403-412
2000 – 2009
- 2009
- [j3]Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou:
Exploratory Undersampling for Class-Imbalance Learning. IEEE Trans. Syst. Man Cybern. Part B 39(2): 539-550 (2009) - 2007
- [j2]Yang Yu, De-Chuan Zhan, Xu-Ying Liu, Ming Li, Zhi-Hua Zhou:
Predicting Future Customers via Ensembling Gradually Expanded Trees. Int. J. Data Warehous. Min. 3(2): 12-21 (2007) - 2006
- [j1]Zhi-Hua Zhou, Xu-Ying Liu:
Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem. IEEE Trans. Knowl. Data Eng. 18(1): 63-77 (2006) - [c3]Zhi-Hua Zhou, Xu-Ying Liu:
On Multi-Class Cost-Sensitive Learning. AAAI 2006: 567-572 - [c2]Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou:
Exploratory Under-Sampling for Class-Imbalance Learning. ICDM 2006: 965-969 - [c1]Xu-Ying Liu, Zhi-Hua Zhou:
The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study. ICDM 2006: 970-974
Coauthor Index
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