Talks

• From Ordinal Ranking to Binary Classification. Defense Talk, Pasadena, CA, U.S.A., May 2008.
• From Ordinal Ranking to Binary Classification. NTHU CS Seminar, Hsinchu, Taiwan, March 2008.
• From Ordinal Ranking to Binary Classification. NCTU CS Seminar, Hsinchu, Taiwan, March 2008.
• From Ordinal Ranking to Binary Classification. NTU CSIE Seminar, Taipei, Taiwan, March 2008.
• From Ordinal Ranking to Binary Classification. Caltech CS/IST Lunch Bunch, Pasadena, CA, U.S.A., March 2008.
• Perceptron Learning by Random Coordinate Descent. IJCNN '07, Orlando, FL, U.S.A., August 2007. (Paper).
• Automatic Ranking by Extended Binary Classification. Institute of Information Science, Academia Sinica, Taipei, Taiwan, March 2007.
• Ordinal Regression by Extended Binary Classification. NIPS '06 Spotlight, Vancouver, Canada, December 2006. (Poster), (Paper).
• Automatic Ranking by Extended Binary Classification. Caltech EE Fall '06 Seminar, Pasadena, CA, U.S.A., November 2006.
• Large-Margin Thresholded Ensembles for Ordinal Regression. ALT '06, Barcelona, Spain, October 2006. (Paper).
• Large-Margin Thresholded Ensembles for Ordinal Regression. MLSS '06 Workshop, Taipei, Taiwan, July 2006.
• Improving Learning through Matching Optimization. Candidacy Talk, Pasadena, CA, U.S.A., May 2006.
• Distance Based SVM Kernels for Infinite Ensemble Learning. ICONIP '05, Taipei, Taiwan, November 2005. (Paper).
• Analysis of SAGE Results with Combined Learning Techniques. ECML/PKDD Discovery Challenge Workshop '05, Porto, Portugal, October 2005. (Paper).
• Infinite Ensemble Learning with Support Vector Machinery. ECML '05, Porto, Portugal, October 2005. (Paper).
• Infinite Ensemble Learning with Support Vector Machines. Caltech Second Symposium on Vision and Learning, Pasadena, CA, U.S.A., September 2005.

Posters

• Ordinal Regression by Extended Binary Classification. NIPS '06, Vancouver, Canada, December 2006. (Spotlight), (Paper).

Lectures

• Brief Introduction to LEMGA. Minitalk for Caltech CS 156b (Winter '06): Learning Systems, Pasadena, CA, U.S.A., January 2006. (Software).
• Introduction to Support Vector Machines. Invited talk for NTU Speech Processing Lab, Taipei, Taiwan, November 2005.
• Introduction to Boosting and Joint Boosting. Guest lecture for Caltech EE148 (Spring '05): Machine Learning for Computer Vision, Pasadena, CA, U.S.A., April 2005.

Feel free to contact me: "htlin" at "csie.ntu.edu.tw"