Exploratory Under-Sampling for Class-Imbalance Learning. - Xu-Ying Liu; Jianxin Wu 001; Zhi-Hua Zhou (ICDM, 2006)

The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study. - Xu-Ying Liu; Zhi-Hua Zhou (ICDM, 2006)

Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem. - Zhi-Hua Zhou; Xu-Ying Liu (IEEE Trans. Knowl. Data Eng., 2006)

Predicting Future Customers via Ensembling Gradually Expanded Trees. - Yang Yu 001; De-Chuan Zhan; Xu-Ying Liu; Ming Li 005; Zhi-Hua Zhou (Int. J. Data Warehous. Min., 2007)

Exploratory Undersampling for Class-Imbalance Learning. - Xu-Ying Liu; Jianxin Wu 001; Zhi-Hua Zhou (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Learning with cost intervals. - Xu-Ying Liu; Zhi-Hua Zhou (KDD, 2010)

On Multi-Class Cost-Sensitive Learning. - Zhi-Hua Zhou; Xu-Ying Liu (Comput. Intell., 2010)

Towards Cost-Sensitive Learning for Real-World Applications. - Xu-Ying Liu; Zhi-Hua Zhou (PAKDD Workshops, 2011)

Learning Imbalanced Multi-class Data with Optimal Dichotomy Weights. - Xu-Ying Liu; Qian-Qian Li; Zhi-Hua Zhou (ICDM, 2013)

Crest: Cluster-based Representation Enrichment for Short Text Classification. - Zichao Dai; Aixin Sun; Xu-Ying Liu (PAKDD (2), 2013)

Learning from combination of data chunks for multi-class imbalanced data. - Xu-Ying Liu; Qian-Qian Li (IJCNN, 2014)

Towards Class-Imbalance Aware Multi-Label Learning. - Min-Ling Zhang; Yu-Kun Li; Xu-Ying Liu (IJCAI, 2015)

Partial Label Learning via Feature-Aware Disambiguation. - Min-Ling Zhang; Bin-Bin Zhou; Xu-Ying Liu (KDD, 2016)

Imbalanced Augmented Class Learning with Unlabeled Data by Label Confidence Propagation. - Si-Yu Ding; Xu-Ying Liu; Min-Ling Zhang (ICDM, 2018)

Binary relevance for multi-label learning: an overview. - Min-Ling Zhang; Yu-Kun Li; Xu-Ying Liu; Xin Geng 001 (Frontiers Comput. Sci., 2018)

Transfer synthetic over-sampling for class-imbalance learning with limited minority class data. - Xu-Ying Liu; Sheng-Tao Wang; Min-Ling Zhang (Frontiers Comput. Sci., 2019)

On Deep Learning Based Feedback and Precoding For Multi-user Millimeter-Wave Enabled VR/AR. - Hong-Yunn Chen; Chen-Yu Yang; Xu-Ying Liu; Cheng-Fu Chou (ICCE-TW, 2020)

Large-scale multi-label classification using unknown streaming images. - Yu Zhang 004; Yin Wang; Xu-Ying Liu; Siya Mi; Min-Ling Zhang (Pattern Recognit., 2020)

Towards Class-Imbalance Aware Multi-Label Learning. - Min-Ling Zhang; Yu-Kun Li; Hao Yang 015; Xu-Ying Liu (IEEE Trans. Cybern., 2022)