Xu-Ying Liu

According to our database1, Xu-Ying Liu authored at least 16 papers between 2006 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Binary relevance for multi-label learning: an overview.
Frontiers Comput. Sci., 2018

Imbalanced Augmented Class Learning with Unlabeled Data by Label Confidence Propagation.
Proceedings of the IEEE International Conference on Data Mining, 2018

2016
Partial Label Learning via Feature-Aware Disambiguation.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Towards Class-Imbalance Aware Multi-Label Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Learning from combination of data chunks for multi-class imbalanced data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Crest: Cluster-based Representation Enrichment for Short Text Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Learning Imbalanced Multi-class Data with Optimal Dichotomy Weights.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2011
Towards Cost-Sensitive Learning for Real-World Applications.
Proceedings of the New Frontiers in Applied Data Mining, 2011

2010
On Multi-Class Cost-Sensitive Learning.
Computational Intelligence, 2010

Learning with cost intervals.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
Exploratory Undersampling for Class-Imbalance Learning.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

2007
Predicting Future Customers via Ensembling Gradually Expanded Trees.
IJDWM, 2007

2006
Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem.
IEEE Trans. Knowl. Data Eng., 2006

The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Exploratory Under-Sampling for Class-Imbalance Learning.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

On Multi-Class Cost-Sensitive Learning.
Proceedings of the Proceedings, 2006


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