Xu-Ying Liu

20 papers A* 8B 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2022 J jnl
Towards Class-Imbalance Aware Multi-Label Learning.
IEEE Trans. Cybern.
Min-Ling Zhang, Yu-Kun Li, Hao Yang, Xu-Ying Liu
2020 J jnl
Large-scale multi-label classification using unknown streaming images.
Pattern Recognit.
Yu Zhang, Yin Wang, Xu-Ying Liu, Siya Mi, Min-Ling Zhang
2020 — conf
On Deep Learning Based Feedback and Precoding For Multi-user Millimeter-Wave Enabled VR/AR.
ICCE-TW
Hong-Yunn Chen, Chen-Yu Yang, Xu-Ying Liu, Cheng-Fu Chou
2019 J jnl
Transfer synthetic over-sampling for class-imbalance learning with limited minority class data.
Frontiers Comput. Sci.
Xu-Ying Liu, Sheng-Tao Wang, Min-Ling Zhang
2018 J jnl
Binary relevance for multi-label learning: an overview.
Frontiers Comput. Sci.
Min-Ling Zhang, Yu-Kun Li, Xu-Ying Liu, Xin Geng
2018 A* conf
Imbalanced Augmented Class Learning with Unlabeled Data by Label Confidence Propagation.
ICDM
Si-Yu Ding, Xu-Ying Liu, Min-Ling Zhang
2016 A* conf
Partial Label Learning via Feature-Aware Disambiguation.
KDD
Min-Ling Zhang, Bin-Bin Zhou, Xu-Ying Liu
2015 A* conf
Towards Class-Imbalance Aware Multi-Label Learning.
IJCAI
Min-Ling Zhang, Yu-Kun Li, Xu-Ying Liu
2014 B conf
Learning from combination of data chunks for multi-class imbalanced data.
IJCNN
Xu-Ying Liu, Qian-Qian Li
2013 — conf
Crest: Cluster-based Representation Enrichment for Short Text Classification.
PAKDD (2)
Zichao Dai, Aixin Sun, Xu-Ying Liu
2013 A* conf
Learning Imbalanced Multi-class Data with Optimal Dichotomy Weights.
ICDM
Xu-Ying Liu, Qian-Qian Li, Zhi-Hua Zhou
2011 — conf
Towards Cost-Sensitive Learning for Real-World Applications.
PAKDD Workshops
Xu-Ying Liu, Zhi-Hua Zhou
2010 A* conf
Learning with cost intervals.
KDD
Xu-Ying Liu, Zhi-Hua Zhou
2010 J jnl
On Multi-Class Cost-Sensitive Learning.
Comput. Intell.
Zhi-Hua Zhou, Xu-Ying Liu
2009 J jnl
Exploratory Undersampling for Class-Imbalance Learning.
IEEE Trans. Syst. Man Cybern. Part B
Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou
2007 J jnl
Predicting Future Customers via Ensembling Gradually Expanded Trees.
Int. J. Data Warehous. Min.
Yang Yu, De-Chuan Zhan, Xu-Ying Liu, Ming Li, Zhi-Hua Zhou
2006 A* conf
Exploratory Under-Sampling for Class-Imbalance Learning.
ICDM
Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou
2006 A* conf
On Multi-Class Cost-Sensitive Learning.
AAAI
Zhi-Hua Zhou, Xu-Ying Liu
2006 A* conf
The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study.
ICDM
Xu-Ying Liu, Zhi-Hua Zhou
2006 J jnl
Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem.
IEEE Trans. Knowl. Data Eng.
Zhi-Hua Zhou, Xu-Ying Liu