Xu-Ying Liu

According to our database, Xu-Ying Liu authored at least 19 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Towards Class-Imbalance Aware Multi-Label Learning.

Min-Ling Zhang, Yu-Kun Li, Hao Yang, Xu-Ying Liu

IEEE Trans. Cybern., 2022

2020

Large-scale multi-label classification using unknown streaming images.

Yu Zhang, Yin Wang, Xu-Ying Liu, Siya Mi, Min-Ling Zhang

Pattern Recognit., 2020

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

Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2020

2019

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

2018

Binary relevance for multi-label learning: an overview.

Min-Ling Zhang, Yu-Kun Li, Xu-Ying Liu, Xin Geng

Frontiers Comput. Sci., 2018

Imbalanced Augmented Class Learning with Unlabeled Data by Label Confidence Propagation.

Si-Yu Ding, Xu-Ying Liu, Min-Ling Zhang

Proceedings of the IEEE International Conference on Data Mining, 2018

2016

Partial Label Learning via Feature-Aware Disambiguation.

Min-Ling Zhang, Bin-Bin Zhou, Xu-Ying Liu

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Towards Class-Imbalance Aware Multi-Label Learning.

Min-Ling Zhang, Yu-Kun Li, Xu-Ying Liu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Learning from combination of data chunks for multi-class imbalanced data.

Xu-Ying Liu, Qian-Qian Li

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Crest: Cluster-based Representation Enrichment for Short Text Classification.

Zichao Dai, Aixin Sun, Xu-Ying Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Learning Imbalanced Multi-class Data with Optimal Dichotomy Weights.

Xu-Ying Liu, Qian-Qian Li, Zhi-Hua Zhou

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2011

Towards Cost-Sensitive Learning for Real-World Applications.

Xu-Ying Liu, Zhi-Hua Zhou

Proceedings of the New Frontiers in Applied Data Mining, 2011

2010

On Multi-Class Cost-Sensitive Learning.

Zhi-Hua Zhou, Xu-Ying Liu

Comput. Intell., 2010

Learning with cost intervals.

Xu-Ying Liu, Zhi-Hua Zhou

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Exploratory Undersampling for Class-Imbalance Learning.

Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou

IEEE Trans. Syst. Man Cybern. Part B, 2009

2007

Predicting Future Customers via Ensembling Gradually Expanded Trees.

Yang Yu, De-Chuan Zhan, Xu-Ying Liu, Ming Li, Zhi-Hua Zhou

Int. J. Data Warehous. Min., 2007

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

The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study.

Xu-Ying Liu, Zhi-Hua Zhou

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Exploratory Under-Sampling for Class-Imbalance Learning.

Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006