Hsuan-Tien Lin. A Simple Cost-sensitive Multiclass Classification Algorithm Using One-versus-one Comparisons, National Taiwan University, December 2010. link

Hsuan-Tien Lin. Cost-sensitive Classification: Status and Beyond. Workshop on Machine Learning Research in Taiwan: Challenges and Directions @ TAAI, 2010. link

Farbound Tai and Hsuan-Tien Lin. Multi-label Classification with Principle Label Space Transformation. National Taiwan University, September 2010; submitted. A preliminary version appeared in MLD Workshop @ ICML '10. link

Ming-Feng Tsai, Shang-Tse Chen, Yao-Nan Chen, Chun-Sung Ferng, Chia-Hsuan Wang, Tzay-Yeu Wen and Hsuan-Tien Lin. An Ensemble Ranking Solution to the Yahoo! Learning to Rank Challenge. National Taiwan University, Technical Report, September 2010. link

Hsiang-Fu Yu, Hung-Yi Lo, Hsun-Ping Hsieh, Jing-Kai Lou, Todd G. McKenzie, Jung-Wei Chou, Po-Han Chung, Chia-Hua Ho, Chun-Fu Chang, Yin-Hsuan Wei, Jui-Yu Weng, En-Syu Yan, Che-Wei Chang, Tsung-Ting Kuo, Yi-Chen Lo, Po Tzu Chang, Chieh Po, Chien-Yuan Wang, Yi-Hung Huang, Chen-Wei Hung, Yu-Xun Ruan, Yu-Shi Lin, Shou-de Lin, Hsuan-Tien Lin and Chih-Jen Lin. Feature Engineering and Classifier Ensemble for KDD Cup 2010. National Taiwan University, June 2010. (First Prizes of Both All Teams and All Student Teams). link

Farbound Tai and Hsuan-Tien Lin. Multi-label Classification with Principle Label Space Transformation. Second International Workshop on learning from Multi-Label Data @ ICML '10, 2010. link

Han-Hsing Tu and Hsuan-Tien Lin. One-sided Support Vector Regression for Multiclass Cost-sensitive Classification. In Proceedings of ICML '10, 1095-1102, 2010. link

Hung-Yi Lo, Kai-Wei Chang, Shang-Tse Chen, Tsung-Hsien Chiang, Chun-Sung Ferng, Cho-Jui Hsieh, Yi-Kuang Ko, Tsung-Ting Kuo, Hung-Che Lai, Ken-Yi Lin, Chia-Hsuan Wang, Hsiang-Fu Yu, Chih-Jen Lin, Hsuan-Tien Lin and Shou-de Lin. An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naïve Bayes. In G. Dror et al., eds., Proceedings of KDD-Cup 2009 competition, vol. 7 of JMLR Workshop and Conference Proceedings, 57-64, 2009. (Third Place of the Slow Track). link

Hsuan-Tien Lin and Ling Li. Reduction from Ordinal Ranking to Binary Classification. National Taiwan University, September 2009. Some preliminary parts appeared in NIPS '06 and PL Workshop @ ECML/PKDD '09. link

Hsuan-Tien Lin and Ling Li. Combining Ordinal Preferences by Boosting. Preference Learning Workshop @ ECML/PKDD '09, 2009. link

Te-Kang Jan. A Comparison of Methods for Cost-sensitive Support Vector Machines. Master's Thesis, 2009.

Ken-Yi Lin. Data Selection Techniques for Large-scale RankSVM. Master's Thesis, 2009.

Hanhsing Tu. Regression Approaches for Multi-class Cost-sensitive Classification. Master's Thesis, 2008.