Yuh-Jye Lee's Home Page

Yuh-Jye Lee

Yuh-Jye Lee, Ph. D.
Assistant Professor
Department of Computer Science
and Information Engineering
National Chung Cheng University

This page is still under construction......

Education:

Ph.D. program in Computer Sciences, University of Wisconsin at Madison, U. S. A., August 2001.
M.S. Applied Math., National Tsing Hua University, Taiwan, June 1992.
B.S. Applied Math., Chinese Culture University, Taiwan, June 1990.

Research:

My research interests are Data Mining, Machine Learning and Mathematical Programming. I develop the new algorithms for data mining problems such as classification problem, clustering and regression (linear and nonlinear). Using the methodologies such as support vector machines, chunking and smoothing techniques allow us to get a very robust solution (prediction) for a large dataset. I also apply these methods to solve many real world problems. An important aspect of my research is the use of data mining techniques in the breast cancer prognosis. Areas of research include:

Supervised and unsupervised learning
Multicategory learning
Support vector machines
Smooth technique for SVM
Large-scale nonlinear SVM
Medical application: Breast cancer prognosis

Course:

數值分析 (Numerical Analysis)
數值優化 (Numerical Optimization)

Recent Talks

Yuh-Jye Lee & O. L. Mangasarian: RSVM: Reduced Support Vector Machines (PowerPoint)
First SIAM International Conference on Data Mining, April 5-7, 2001, Chicago.

Yuh-Jye Lee, O. L. Mangasarian & W. H. Wolberg: Smooth Support Vector Machines & Breast Cancer Prognosis with Chemotherapy
UW-Madison Data Mining Institute Annual Review, June 2, 2000.

Yuh-Jye Lee: Smooth Support Vector Machines
Preliminary Thesis Proposal , March 6, 2000

Yuh-Jye Lee, O. L. Mangasarian & W. H. Wolberg: Breast Cancer Survival Analysis and Chemotherapy via Generalized Support Vector Machines
Center for Discrete Mathematics and Theoretical Computer Science at Rutgers University (DIMACS), Workshop on Discrete Mathematical Problems with Medical Applications, December 8-10, 1999

Yuh-Jye Lee & O. L. Mangasarian: SSVM: A Smooth Support Vector Machine
Philadelphia INFORMS, November 7-10, 1999

Publications

Yuh-Jye Lee, O. L. Mangasarian and W. H. Wolberg

Survival-Time Classification of Breast Cancer Patients
PDF Version
Data Mining Institute Technical Report 01-03, March 2001.

Yuh-Jye Lee and O. L. Mangasarian

RSVM: Reduced Support Vector Machines
Data Mining Institute Technical Report 00-07, July, 2000, First SIAM International Conference on Data Mining, Chicago, April 5-7, 2001, to appear.

Yuh-Jye Lee: Preliminary Thesis Proposal
Preliminary Thesis Proposal , March 6, 2000.

Yuh-Jye Lee, O. L. Mangasarian and W. H. Wolberg: Breast Cancer Survival and Chemotherapy: A Support Vector Machine Analysis
Data Mining Institute Technical Report 99-10, December 1999, DIMACS Series in Discrete Mathematics and Theoretical Computer Science, Vol. 55 (2000), pp. 1-10.

Yuh-Jye Lee and O. L. Mangasarian: SSVM: Smooth Support Vector Machine for Classification
Data Mining Institute Technical Report 99-03, September 1999, Computational Optimization and Applications, to appear.

Chih Chang and Yuh-Jye Lee: A non-weakly balanced game with nonempty bargaining set
Journal of Mathematical Economics 22, 1993, 195-198.

WWW Page of Other Publications of MP Group at Wisconsin

Links Related to Taiwan

periodically updated by yjlee@cs.ccu.edu.tw