Wei T.

## BIO Wei Tang ** Education ** PhD student in the department of computer science at UT Austin [login to view URL] in computer science, UT Austin, 2010 B.Eng in computer science, Nanjing University, 2000 ** Professional Background ** 1. Solid background on applied mathematics: Numerical Linear Algebra, Convex Optimization, Scientific Computing. 2. Experience on large-scale statistical analysis: Bayesian Methods, Model Fitting and Inference. 3. Comprehensive knowledge on major machine learning algorithms: Neural Network, Support Vector Machine, Decision Tree, Generalized Linear Model, Ensemble Learning etc. ** Computer Skills ** 1. Operating System: Unix/Linux, Mac OS, Windows. 2. Programming: Java, C/C++, Perl, Python. 3. Scientific computing/ Statistical Analysis tools: Matlab, R. 4. Database: MySql, PostgreSQL, ODBC/JDBC ** Publication ** 1. Zhengdong lu, Berkant Savas, Wei Tang and Inderjit Dhillon. Supervised Link Prediction Using Multiple Sources. Proc. of 10th IEEE International Conference on Data Mining, 2010. 2. Wei Tang, Zhengdong Lu, and Inderjit Dhillon. Clustering with Multiple Sources. Proc. of 9th IEEE International Conference on Data Mining, 2009. 3. Wei Tang, Hui Xiong, Shi Zhong, and Jie Wu. Enhancing Semi-supervised Clustering: A Feature Projection Perspective. Proc. of 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007. 4. Wei Tang and Taghi M. Khoshgoftaar. Noise Identification with the k-Means Algorithm. Proc. of 16th IEEE International Conference on Tools with Artificial Intelligence, 2004. 5. Zhi-Hua Zhou and Wei Tang. Selective Ensemble of Decision Trees. RSFDGrC, 2003. 6. Zhi-Hua Zhou, Jianxin Wu, Wei Tang, and Zhaoqian Chen. Selectively ensembling neural classifiers. Proc. of the International Joint Conference on Neural Networks, 2002. 7. Zhi-Hua Zhou and Wei Tang. Clusterer Ensemble. Knowdge-Based Systems, 2006, 19(1): 77-83. 8. Wei Tang and Zhi-Hua Zhou. Baggging-based Selective Clusterer Ensemble. Journal of Software, 16(4), 2005: 496-502. 9. Zhi-Hua Zhou, Jianxin Wu, and Wei Tang. Ensembling Neural Networks: Many Could Be Better Than All. Artificial Intelligence, 137(1-2), 2002: 239-263. 10. Wei Tang, Zhaoqian Chen, Jianxin Wu and Zhi-Hua Zhou. Survey on Face Detection Methods in Gray-level Still Images. Computer Science, 29(2), 2002: 134-137. 11. Wei Tang, Zhengdong Lu and Inderjit Dhillon.Clustering with Multiple Sources. The University of Texas at Austin Technical Report \#TR-09-37, December, 2009. 12. Wei Tang and Shi Zhong. Pairwise Constraints-Guided Dimensionality Reduction. Chapter 11 in Computational Methods of Feature Selection, 2007. 13. Wei Tang and Shi Zhong. Pairwise Constraints-Guided Dimensionality Reduction. Proc. International Workshop on Feature Selection on Data Mining, 2006. ## Area of Expertise Statistical machine learning and data mining