Journal Papers

[1] S. Wang and X. Yao, ``Multi-Class Imbalance Problems: Analysis and Potential Solutions," IEEE Transactions on Systems, Man and Cybernetics, PartB: Cybernetics, accepted on 4 January 2012.

Preprint is available [here].

[2] S. Wang and X. Yao, ``Relationships Between Diversity of Classification Ensembles and Single-Class Performance Measures," IEEE Transactions on Knowledge and Data Engineering, accepted on 7 September 2011.

Preprint is available [here].

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 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]

[2] 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]

[3] 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]

[4] 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]

[5] 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]