Publication List

Book Chapter¶

• Z.-H. Zhou and Y. Yu. The AdaBoost algorithm. In: X. Wu and V. Kumar eds. The Top Ten Algorithms in Data Mining, Boca Raton, FL: Chapman & Hall, 2009. (PDF) (bibtex)

Journal Articles¶

• Y. Yu and Z.-H. Zhou. A framework for modeling positive class expansion with single snapshot. Knowledge and Information Systems, in press. (Extended from PAKDD'08) (PDF) (slides) (code&data) (abstract+bibtex)

• Y. Yu and Z.-H. Zhou. A new approach to estimating the expected first hitting time of evolutionary algorithms. Artificial Intelligence, 2008, 172(15): 1809-1832. (Extended from AAAI'06) (PDF) (abstract+bibtex)

• F. T. Liu, K. M. Ting, Y. Yu, and Z.-H. Zhou . Spectrum of variable-random trees. Journal of Artificial Intelligence Research, 2008, vol 32, pp.355-384. (PDF) (abstract+bibtex)

Conference Papers¶

• N. Li, Y. Yu, and Z.-H. Zhou. Semi-naive exploitation of one-dependence estimators. In: Proceedings of the 9th IEEE International Conference on Data Mining (ICDM'09), Miami, FL, 2009, pp.278-287. (PDF) (abstract+bibtex)

• Y. Yu and Z.-H. Zhou. A framework for modeling positive class expansion with single snapshot. In: Proceedings of the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'08), Osaka, Japan, LNAI 5012, 2008, pp.429-440. (PDF) (slides) (abstract+bibtex) (This paper won the Best Paper Award at PAKDD'08)

• Y. Yu and Z.-H. Zhou. On the usefulness of infeasible solutions in evolutionary search: A theoretical study. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC'08) , Hong Kong, China, 2008, pp.835-840. (PDF) (abstract+bibtex)

• L.-P. Liu, Y. Yu, Y. Jiang, and Z.-H. Zhou. TEFE: A Time-Efficient Approach to Feature Extraction. In: Proceedings of the 8th IEEE International Conference on Data Mining (ICDM'08), Pisa, Italy, 2008, pp.423-432. (PDF) (abstract+bibtex)

• Y. Yu, Z.-H. Zhou, and K. M. Ting. Cocktail ensemble for regression. In: Proceedings of the 7th IEEE International Conference on Data Mining (ICDM'07), Omaha, NE, 2007, pp.721-726. (PDF) (abstract+bibtex)

• Y. Yu, D.-C. Zhan, X.-Y. Liu, M. Li, and Z.-H. Zhou. Predicting future customers via ensembling gradually expanded trees. International Journal of Data Warehousing and Mining, 2007 3(2): 12-21. Invited paper for the PAKDD'06 Data Mining Competition (Open Category) Grand Champion Team (PDF) (abstract+bibtex)

• Y. Yu and Z.-H. Zhou. A new approach to estimating the expected first hitting time of evolutionary algorithms. In: Proceedings of the 21st National Conference on Artificial Intelligence (AAAI'06) , Boston, MA, 2006, pp.555-560. (PDF) (abstract+bibtex)

• Z.-H. Zhou and Y. Yu. Ensembling local learners through multi-modal perturbation. IEEE Transaction on System, Man, And Cybernetics - Part B: Cybernetics, 2005, 35(4): 725-735. (PDF) (code) (abstract+bibtex)

• Z.-H. Zhou and Y. Yu. Adapt bagging to nearest neighbor classifiers. Journal of Computer Science and Technology, 2005, vol.20, no.1 pp.48-54. (PDF) (detailed result) (abstract+bibtex)

• Yu, Yang. Local Validity Based Selective Ensemble of Decision Trees. B.Sc. Thesis, 2004. (in Chinese with English abstract) (PDF) (abstract)