My PhD research focuses on metalearning and the full model selection problem.
I'm also interested in ensemble learning, tree algorithms,
graph theory and numerical & evolutionary optimization techniques.
Recently, I was attracted by multi-target classification/regression algorithms.
Click here if you are interested in my solutions for the 2009/2010 UCSD data mining contests. My solution to the "predict grant applications" competition on kaggle.
Click here if you are interested in my BES-OOB algorithm and the NNLS (Non-negative least-squares) algorithm.
Click here for a Weka-based SGB algorithm (Stochastic Gradient Boosting) for regression. The REPTree classifier is set as the default base learner. This implementation is based on the AdditiveRegression classifier but using a different sampling strategy. Enjoy :-)
Publications
Quan Sun, Bernhard Pfahringer and Michael Mayo. Full Model Selection in the Space of Data Mining Operators. To appear in Companion Material Proceedings of the ACM Conference on Genetic and Evolutionary Computation (GECCO'12), Philadelphia, United States, 2012.
Quan Sun and Bernhard Pfahringer. Bagging ensemble selection. In Proceedings of the 24th Australasian Joint Conference on Artificial Intelligence (AI'11), Perth, Australia, pages 251-260. Springer, 2011. (pdf)
Quan Sun. Sampling-based Prediction of Algorithm Runtime. Master's thesis, Department of Computer Science, University of Waikato, Hamilton, NZ, 2009. (pdf)
@NZCSRSC
Quan Sun. Full Model Selection and Optimization. In Proceedings of the 10th New Zealand Computer Science Research Student Conference (NZCSRSC'12), Dunedin, New Zealand, 2012. (10mins talk)
Quan Sun. Getting Even More Out of Ensemble Selection. In Proceedings of the 9th New Zealand Computer Science Research Student Conference (NZCSRSC'11), Palmerston North, New Zealand, 2011. (poster, longer working-paper version)
Quan Sun. Algorithm Runtime Prediction. In Proceedings of the 7th New Zealand Computer Science Research Student Conference (NZCSRSC'09), Auckland, New Zealand, 2009. (pdf)
Quan Sun. The Life of a Session Result. In Proceedings of the 6th New Zealand Computer Science Research Student Conference (NZCSRSC'08), Christchurch, New Zealand, 2008. (pdf)
Teaching@Waikato
2011 Doctoral Assistant for Design and Analysis of Algorithms (COMP317) and Web Applications Development (COMP333)
2010 Doctoral Assistant for Internet Applications (COMP233) and Web Applications Development (COMP333)
2009 GA Tutor for Design and Analysis of Algorithms (COMP317) and Web Applications Development (COMP333)
Awards/Scholarships
2011 - 1st runner up, the "grant application outcome prediction" competition on kaggle
2010 - 1st Place, University of California, San Diego/FICO Data Mining Contest
2010 - 2013 The University of Waikato Doctoral Scholarship
2010 - 5th place, Rough Sets and Current Trends in Computing Conference Discovery Challenge (Advanced Track)
2009 - 2010 The TechNZ Capability Postgraduate Award
2009 - 1st Place, University of California, San Diego/FICO Data Mining Contest
2009 - The University of Waikato Masters Scholarship