[YY2019] Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, and Hsuan-Tien Lin. Deep learning with a rethinking structure for multi-label classification. In Proceedings of the Asian Conference on Machine Learning (ACML), November 2019.
[HC2019] Hong-Min Chu, Kuan-Hao Huang, and Hsuan-Tien Lin. Dynamic principal projection for cost-sensitive online multi-label classification. Machine Learning, 108(8–9):1193–1230, September 2019. Also presented in the journal track of ECML '19.
[CH2019] Cheng-Yu Hsieh, Miao Xu, Gang Niu, Hsuan-Tien Lin, and Masashi Sugiyama. A pseudo-label method for coarse-to-fine multi-label learning with limited supervision. In Proceedings of the Workshop on Learning from Limited Labeled Data @ ICLR, May 2019.
[HC2018] Hsien-Chun Chiu and Hsuan-Tien Lin. Multi-label classification with feature-aware cost-sensitive label embedding. In Proceedings of the Conference on Technologies and Applications for Artificial Intelligence (TAAI), pages 40–45, November 2018.
[YY2018b] Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, and Hsuan-Tien Lin. Deep learning with a rethinking structure for multi-label classification. In Proceedings of the Workshop on Multi-output Learning @ ACML, November 2018.
[YY2018a] Yao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, and Hsuan-Tien Lin. Cost-sensitive reference pair encoding for multi-label learning. In Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pages 143–155, June 2018.
[CH2018] Cheng-Yu Hsieh, Yi-An Lin, and Hsuan-Tien Lin. A deep model with local surrogate loss for general cost-sensitive multi-label learning. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pages 3239–3246, February 2018.
[KL2017] Kuo-Hsuan Lo and Hsuan-Tien Lin. Cost-sensitive encoding for label space dimension reduction algorithms on multi-label classification. In Proceedings of the Conference on Technologies and Applications for Artificial Intelligence (TAAI), December 2017.
[YL2017] Yi-An Lin and Hsuan-Tien Lin. Cyclic classifier chain for cost-sensitive multilabel classification. In Proceedings of the IEEE International Conference on Data Science and Advanced Analytics (DSAA), October 2017.
[KH2017] Kuan-Hao Huang and Hsuan-Tien Lin. Cost-sensitive label embedding for multi-label classification. Machine Learning, 106(9–10):1725–1746, October 2017. Also presented in the journal track of ECML '17.
[YW2017] Yu-Ping Wu and Hsuan-Tien Lin. Progressive k-labelsets for cost-sensitive multi-label classification. Machine Learning, 106(5):671–694, May 2017. Also presented in the journal track of ACML '16.
[CL2014b] Chun-Liang Li and Hsuan-Tien Lin. Condensed filter tree for cost-sensitive multi-label classification. In Proceedings of the International Conference on Machine Learning (ICML), pages 423–431, June 2014.
[CF2013] Chun-Sung Ferng and Hsuan-Tien Lin. Multilabel classification using error-correcting codes of hard or soft bits. IEEE Transactions on Neural Networks and Learning Systems, 24(11):1888–1900, November 2013. A shorter version appeared in ACML '11, with code:
ml_ecc.20130515.tgz.
[YC2012] Yao-Nan Chen and Hsuan-Tien Lin. Feature-aware label space dimension reduction for multi-label classification. In Advances in Neural Information Processing Systems: Proceedings of the 2012 Conference (NeurIPS), pages 1529–1537, December 2012.
[FT2012] Farbound Tai and Hsuan-Tien Lin. Multilabel classification with principal label space transformation. Neural Computation, 24(9):2508–2542, September 2012. A preliminary version (under a mis-spelled title) appeared in the MLD Workshop @ ICML '10, with code:
snapshot on 2011/01/23 [CH2011] Chen-Wei Hung and Hsuan-Tien Lin. Multi-label active learning with auxiliary learner. In Proceedings of the Asian Conference on Machine Learning (ACML), volume 20 of JMLR Workshop and Conference Proceedings, pages 315–330, November 2011.
[CF2011] Chun-Sung Ferng and Hsuan-Tien Lin. Multi-label classification with error-correcting codes. In Proceedings of the Asian Conference on Machine Learning (ACML), volume 20 of JMLR Workshop and Conference Proceedings, pages 281–295, November 2011.
[FT2010a] Farbound Tai and Hsuan-Tien Lin. Multi-label classification with principle label space transformation. In Proceedings of the 2nd International Workshop on learning from Multi-Label Data @ ICML '10, June 2010.