Shuo Wang - Documents
Journal Papers
[1] S. Wang, L.L.Minku and X. Yao, ``Online Class Imbalance Learning and Its Applications in Fault Detection", Special Issue of International Journal of Computational Intelligence and Applications, Accepted on 22 September 2013. [pdf]<-->
[2] S. Wang and X. Yao, ``Using Class Imbalance Learning for Software Defect Prediction", IEEE Transactions on Reliability, accepted on 26 November 2012.
Preprint is available [here].
Code is available [here] in Java (weka 3.7 required).
[3] S. Wang and X. Yao, ``Multi-Class Imbalance Problems: Analysis and Potential Solutions", IEEE Transactions on Systems, Man and Cybernetics, PartB: Cybernetics, 42(4):1119-1130, August 2012.
Code is available [here] in Java (weka 3.7 required).
[4] S. Wang and X. Yao, ``Relationships Between Diversity of Classification Ensembles and Single-Class Performance Measures", IEEE Transactions on Knowledge and Data Engineering, 25(1):206-219, January 2013.
Code is available [here] in Java (Weka 3.4 required).
PhD Thesis
Shuo Wang. Ensemble Diversity for Class Imbalance Learning. School of Computer Science, The University of Birmingham. Information is available [here].
Conferences and Workshops
[1] S.Wang, L.L.Minku, D.Ghezzi, D.Caltabiano, P.Tino and X.Yao (04/2013). Concept Drift Detection for Online Class Imbalance Learning. In International Joint Conference on Neural Networks (IJCNN '13). Accepted, 2013. [pdf]
[2] S.Wang, L.L.Minku and X.Yao (01/2013). A Learning Framework for Online Class Imbalance Learning. IEEE Symposium Series on Computational Intelligence (SSCI) 2013, Singapore. Pages 36-45, 2013. [pdf]
[3] S.Wang and X.Yao (07/2010). The Effectiveness of A New Negative Correlation Learning Algorithm for Classification Ensembles. IEEE International Conference on Data Mining Workshops 2010, Sydney, Australia. Pages 1013-1020, 2010. [pdf]
[4] S.Wang and H.Chen and X.Yao (02/2010). Negative Correlation Learning for Classification Ensembles. International Joint Conference on Neural Networks 2010, Barcelona, Spain. Pages 2893-2900, 2010. (Travel Grant Awarded)[pdf]
[5] S.Wang and X.Yao (07/2009). Theoretical Study of the Relationship Between Diversity and Single-Class Measures for Class Imbalance Learning. IEEE International Conference on Data Mining Workshops 2009, Miami, Florida, USA. Pages 76-81, 2009. [pdf]
[6] S.Wang and K.Tang and X.Yao (01/2009). Diversity Exploration and Negative Correlation Learning on Imbalanced Data Sets. International Joint Conference on Neural Networks 2009, Atlanta, Georgia, USA. Pages 3259-3266, 2009. (Travel Grant Awarded) [pdf]
[7] S.Wang and X.Yao (12/2008). Diversity Analysis on Imbalanced Data Sets by Using Ensemble Models. IEEE Symposium on Computational Intelligence and Data Mining 2009, Nashville, TN, USA. Pages 324-331, 2009. [pdf]
Research Progress Reports
RSMG Report 4: Class Imbalance Learning (March 2009) [pdf]
RSMG Report 3: Class Imbalance Learning (August 2008) [pdf]
Other Documents
Wang, S. (2006). Design and Materialize Software of Mobile terminal by Ambient Intelligence Systems. Electronic Engineering and Product World, 2006 (15) [html]