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2008

1. Linear Programming for Feature Selection via Methods of Regularization,
   - Department of Mathematical Information Science, Tokyo University of Science, Tokyo, Japan, July 2008.
   - Statistical Research Center for Complex Systems, Seoul National University, Seoul, Korea, July 2008.
   - International Conference on Machine Learning and Data Mining, Beijing, China, June 2008.
   
2. Regularization Approach to Screening and Selection of Biomarkers,
   - The First International Symposium on Biopharmaceutical Statistics, Shanghai, China, July 2008.
   - ENAR, Arlington, VA, March 2008.
   - Division of Biostatistics, Washington University in St. Louis, MO, November 2007.

2007

1. Kernel Methods in a Regularization Framework for Nonparametric Model Building,
   Cleveland Chapter of the ASA Fall 2007 Workshop, Cleveland, OH, October 29, 2007.
2. Another Look at Linear Programming for Feature Selection via Methods of Regularization,
   - Statistics-Econometrics Seminar, Columbia University, New York City, NY, November 2007.
   - Department of Statistics, Carnegie Mellon University, Pittsburgh, PA, September 2007.
   - Department of Statistics, Korea University, Seoul, Korea, August 2007.
3. A Bahadur Representation of the Linear Support Vector Machine,
   - Department of Mathematics, Washington University in St. Louis, MO, November 2007.
   - Department of Statistics, University of Georgia, Athens, GA, March 2007.
4. A short course on Kernel Methods in a Regularization Framework,
   Winter School (Jan 22-26) at CIMAT, Guanajuato, Mexico.

2006

1. A Tutorial on Support Vector Machines
   Quantitative Psychology Area Brownbag Series, Department of Psychology, Ohio State University, October 2006.
2. Statistical learning in regularization framework (Stat 801 talk)
   Department of Statistics, Ohio State University, August 2006.
3. The Solution Path of Multicategory Support Vector Machines
   Joint Summer Research Conferences: Machine Learning, Statistics, and Discovery, Snowbird, Utah, June 2006.

2005

1. Structured statistical learning with Support Vector Machine for feature selection and prediction
   - Graybill Conference, Fort Collins, CO, June 2005.
   - WNAR, Fairbanks, AK, June 2005.
   - The Joint Statistical Meetings, Minneapolis, MN, August 2005.
2. A Sparse Solution Approach to Gene Selection for Cancer Diagnosis Using Microarray Data
   CCF/OSU/CWRU Joint Biostatistics Symposium, Cleveland Clinic Foundation, May 2005.

2004

1. Structured Multicategory Support Vector Machine with ANOVA decomposition (ps)
   - New Researchers Conference, York University, Toronto, Canada, August 2004.
   - The Joint Statistical Meetings, Toronto Canada, August 2004.

2003

1. Multicategory Support Vector Machines: a population view of different approaches (ps)
   Discussion of the Wald lecture III (Grace Wahba): Nonstandard Multicategory Support Vector Machine (ps)
   The Joint Statistical Meetings, San Francisco CA, August 2003.
2. Multicategory Support Vector Machines: Theory and its Applications (ps)
   - Statistical Research Center for Complex Systems, Seoul National University, Korea, August 2003.
   - Department of Statistics, University of Tennessee, Knoxville TN, April 2003.
3. (Poster) Classification of Satellite Radiance Data by Multicategory Support Vector Machines (ps)
   Third Conference on Artificial Intelligence Applications to the Environmental Science
   American Meteorological Society Meeting, Long Beach, CA, February 2003. Won the best student poster award.
4. Classification of Multiple Cancer Types by Multicategory Support Vector Machines Using Gene Expression Profiles (ps)
   - Summer Research Conference, Jekyll Island, GA, June, 2003.
   - Division of Pediatric Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati OH, December 2002.

Statistics Meetings

1. The 7th World Cogress in Probability and Statistics, Singapore, July 14 - 19, 2008.
2. The First International Symposium on Biopharmaceutical Statistics, Shanghai, China, June 30 - July 2, 2008.
3. International Conference on Machine Learning and Data Mining, Beijing, China, June 16 - 19, 2008.
4. ENAR, Arlington, VA, March 16 - 19, 2008.
5. SAMSI Opening Workshop for Program on High Dimensional Inference and Random Matrices, RTP, NC, September, 2006.
6. The Joint Statistical Meetings, Seattle, WA, August 6-10, 2006.
7. Joint Summer Research Conferences 2006, Machine Learning, Snowbird, Utah, June, 2006.
8. The Joint Statistical Meetings, Minneapolis, MN, August 7-11, 2005.
9. WNAR, Fairbanks, Alaska, June 21-24, 2005.
10. Graybill Conference, Fort Collins, CO, June 1-3, 2005.
11. The Joint Statistical Meetings, Toronto, Ontario, Canada, August 8-12, 2004.
12. The Seventh North American New Researchers Conference, York University, Toronto, Canada, August 4-6, 2004.
13. IMS meeting, Barcelona, Spain, July 26-31, 2004.
14. SAMSI Data Mining and Machine Learning Workshop September 6-10, 2003.
15. The Joint Statistical Meetings, San Francisco, California, August 3-7, 2003.
16. Joint Summer Research Conferences 2003, Snowbird, Utah, June 22-26, 2003.
17. Summer Research Conference, Jekyll Island, Georgia, June 8-11, 2003.
18. Third Conference on Artificial Intelligence Applications to the Environmental Science
    American Meteorological Society Meeting, Long Beach, California, February 9-13, 2003.

Other Meeting

1. PAESMEM/ Stanford School of Engineering Workshop on Mentoring in Engineering, Stanford University, 21-22 June 2004.

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