@inproceedings{TM2025,
author = {Tan-Ha Mai and Nai-Xuan Ye and Yu-Wei Kuan and Po-Yi
Lu and Hsuan-Tien Lin},
title = {The Unexplored Potential of Vision-Language Models
for Generating Large-Scale Complementary-Label
Learning Data},
booktitle = {Proceedings of the Pacific-Asia Conference on
Knowledge Discovery and Data Mining (PAKDD)},
year = 2025,
month = jun,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/pakdd25aclimage.pdf}
}
@inproceedings{SC2025,
author = {Si-An Chen and Hsuan-Tien Lin and Chih-Jen Lin},
title = {Preserving Zero-shot Capability in Supervised
Fine-tuning for Multi-label Text Classification},
booktitle = {Findings: the Conference of the North American
Chapter of the Association for Computational
Linguistics (NAACL)},
year = 2025,
month = apr,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/naacl25zeroshot.pdf},
software = {https://www.csie.ntu.edu.tw/~cjlin/papers/zero_shot_one_side_tuning/},
keyword = {deep, nlp, multi-label}
}
@inproceedings{SC2024,
author = {Si-An Chen and Lesly Miculicich and Julian Martin
Eisenschlos and Zifeng Wang and Zilong Wang and
Yanfei Chen and Yasuhisa Fujii and Hsuan-Tien Lin and
Chen-Yu Lee and Tomas Pfister},
title = {{TableRAG}: Million-Token Table Understanding with
Language Models},
booktitle = {Advances in Neural Information Processing Systems:
Proceedings of the 2024 Conference (NeurIPS)},
year = 2024,
month = dec,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/neurips24tablerag.pdf},
arxiv = {https://arxiv.org/abs/2410.04739},
software = {https://github.com/google-research/google-research/tree/master/table_rag},
keyword = {deep, nlp, generative}
}
@proceedings{VN2024,
title = {Proceedings of the 16th Asian Conference on Machine
Learning},
year = 2024,
booktitle = {Proceedings of the 16th Asian Conference on Machine
Learning},
editor = {Vu Nguyen and Hsuan-Tien Lin},
volume = 260,
series = {Proceedings of Machine Learning Research},
month = dec,
organization = {Asian Conference on Machine Learning},
official = {https://proceedings.mlr.press/v260/},
keyword = {other}
}
@techreport{NY2024,
author = {Nai-Xuan Ye and Tan-Ha Mai and Hsiu-Hsuan Wang and
Wei-I Lin and Hsuan-Tien Lin},
title = {{libcll}: an Extendable Python Toolkit for
Complementary-Label Learning},
institution = {National Taiwan University},
year = 2024,
month = nov,
arxiv = {https://arxiv.org/abs/2411.12276},
software = {https://github.com/ntucllab/libcll}
}
@inproceedings{XY2024b,
author = {Xiwei Yuan and Ziquan Deng and Hsuan-Tien Lin and
Kwan-Liu Ma},
title = {{SLIM}: Spuriousness Mitigation with Minimal Human
Annotations},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
year = 2024,
month = oct,
keyword = {deep, vision, active},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/eccv24slim.pdf},
arxiv = {https://arxiv.org/abs/2407.05594},
software = {https://github.com/xiweix/SLIM/}
}
@techreport{AS2024,
author = {An-Sheng Lee and Yu-Wen Pao and Hsuan-Tien Lin and
Sofia Ya Hsuan Liou},
title = {{MAX}: Masked Autoencoder for X-ray Fluorescence in
Geological Investigation},
institution = {National Taiwan University},
year = 2024,
month = oct,
arxiv = {https://arxiv.org/abs/2410.12330}
}
@inproceedings{XY2024a,
author = {Xiwei Yuan and Ziquan Deng and Hsuan-Tien Lin and
Zhaodan Kong and Kwan-Liu Ma},
title = {{SUNY}: A Visual Interpretation Framework for
Convolutional Neural Networks from a Necessary and
Sufficient Perspective},
booktitle = {Proceedings of the third Explainable AI for Computer
Vision Workshop @ CVPR},
pages = {8371-8376},
year = 2024,
month = june,
keyword = {deep, vision},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsxaicv24suny.pdf},
appendix = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsxaicv24suny_appendix.pdf},
arxiv = {https://arxiv.org/abs/2303.00244}
}
@inproceedings{VD2024,
author = {Vo Nguyen Le Duy and Hsuan-Tien Lin and Ichiro
Takeuchi},
title = {{CAD-DA}: Controllable Anomaly Detection after
Domain Adaptation by Statistical Inference},
booktitle = {Proceedings of the 27th International Conference on
Artificial Intelligence and Statistics (AISTATS)},
pages = {1828--1836},
year = 2024,
month = may,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/aistats24cadda.pdf},
arxiv = {https://arxiv.org/abs/2310.14608},
software = {https://github.com/vonguyenleduy/CAD-DA},
keyword = {adaptation}
}
@inproceedings{OC2024,
author = {Oscar Chew and Hsuan-Tien Lin and Kai-Wei Chang and
Kuan-Hao Huang},
title = {Understanding and Mitigating Spurious Correlations
in Text Classification with Neighborhood Analysis},
booktitle = {Findings: European Chapter of the Association for
Computational Linguistics (EACL)},
month = mar,
year = 2024,
pages = {1013--1025},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/eacl24spurious.pdf},
arxiv = {https://arxiv.org/abs/2305.13654},
keyword = {deep, nlp}
}
@inproceedings{WC2023,
author = {Wei-Chao Cheng and Tan-Ha Mai and Hsuan-Tien Lin},
title = {From {SMOTE} to Mixup for Deep Imbalanced
Classification},
booktitle = {Proceedings of the Conference on Technologies and
Applications for Artificial Intelligence (TAAI)},
year = 2023,
month = dec,
pages = {75--96},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai23mamix.pdf},
arxiv = {https://arxiv.org/abs/2308.15457},
software = {https://github.com/ntucllab/imbalanced-DL},
keyword = {deep, vision}
}
@misc{MC2023,
author = {Ming-Hsin Chen and Si-An Chen and Hsuan-Tien Lin},
title = {Active Reinforcement Learning from Demonstration in
Continuous Action Spaces},
note = {presented in the AI and HCI Workshop @ ICML},
year = 2023,
month = jul,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsaihci23actreinforce.pdf},
keyword = {active, deep, reinforcement}
}
@misc{PL2023,
author = {Po-Yi Lu and Chun-Liang Li and Hsuan-Tien Lin},
title = {A More Robust Baseline for Active Learning by
Injecting Randomness to Uncertainty Sampling},
note = {presented in the AI and HCI Workshop @ ICML},
year = 2023,
month = jul,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsaihci23baseactive.pdf},
keyword = {active}
}
@inproceedings{YY2023,
author = {Yu-Chu Yu and Hsuan-Tien Lin},
title = {Semi-supervised Domain Adaptation with Source Label
Adaptation},
booktitle = {Proceedings of the IEEE Computer Society Conference
on Computer Vision and Pattern Recognition (CVPR)},
year = 2023,
month = jun,
pages = {24100--24109},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/cvpr23sla.pdf},
arxiv = {https://arxiv.org/abs/2302.02335},
software = {https://github.com/chu0802/SLA},
keyword = {deep, vision, weakly, adaptation}
}
@techreport{HW2023,
author = {Hsiu-Hsuan Wang and Tan-Ha Mai and Nai-Xuan Ye and
Wei-I Lin and Hsuan-Tien Lin},
title = {{CLImage}: Human-Annotated Datasets for
Complementary-Label Learning},
institution = {National Taiwan University},
year = 2023,
month = may,
arxiv = {http://arxiv.org/abs/2305.08295}
}
@techreport{WL2023b,
author = {Wei-I Lin and Gang Niu and Hsuan-Tien Lin and Masashi
Sugiyama},
title = {Enhancing Label Sharing Efficiency in
Complementary-Label Learning with Label
Augmentation},
institution = {National Taiwan University and RIKEN Center for
Advanced Intelligence Project},
year = 2023,
month = may,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/labelaug.pdf},
arxiv = {http://arxiv.org/abs/2305.08344},
keyword = {weakly}
}
@inproceedings{WL2023a,
author = {Wei-I Lin and Hsuan-Tien Lin},
title = {Reduction from Complementary-Label Learning to
Probability Estimates},
booktitle = {Proceedings of the Pacific-Asia Conference on
Knowledge Discovery and Data Mining (PAKDD)},
year = 2023,
month = may,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/pakdd23cllpe.pdf},
arxiv = {http://arxiv.org/abs/2209.09500},
keyword = {deep, weakly},
note = {winner of the best paper runner-up award}
}
@article{CY2023,
author = {Chien-Min Yu and Ming-Hsin Chen and Hsuan-Tien Lin},
title = {Learning Key Steps to Attack Deep Reinforcement
Learning Agents},
journal = {Machine Learning},
volume = 112,
pages = {1499--1522},
year = 2023,
month = mar,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/keysteprl.pdf},
official = {https://rdcu.be/c75oM},
software = {https://github.com/smallfish0807/learning_keysteps},
keyword = {deep, reinforcement},
note = {also presented in the journal track of ECML '23}
}
@misc{PH2022,
author = {Paul Kuo-Ming Huang and Si-An Chen and Hsuan-Tien Lin},
title = {Improving Conditional Score-based Generation with
Calibrated Classification and Joint Training},
note = {presented in the Workshop on Score-Based Methods @
NeurIPS},
year = 2022,
month = dec,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wssbm22cond.pdf},
keyword = {deep, vision, generative}
}
@inproceedings{SW2022,
author = {Sheng-Feng Wu and Hsuan-Tien Lin},
title = {Improving Clustering Uncertainty-weighted Embeddings
for Active Domain Adaptation},
booktitle = {Proceedings of the Conference on Technologies and
Applications for Artificial Intelligence (TAAI)},
year = 2022,
month = dec,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai22cluels.pdf},
software = {https://github.com/HUTTON9453/Active-DA},
keyword = {deep, active, weakly}
}
@techreport{AB2022,
author = {Andrew Bai and Cho-Jui Hsieh and Wendy Kan and Hsuan-Tien Lin},
title = {Reducing Training Sample Memorization in {GANs} by
Training with Memorization Rejection},
institution = {National Taiwan University and University of
California, Los Angeles},
year = 2022,
month = oct,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/mrgan.pdf},
arxiv = {https://arxiv.org/abs/2210.12231},
software = {https://github.com/jybai/MRGAN},
keyword = {deep, vision, generative}
}
@article{A2022,
author = {Ashesh and Chia-Tung Chang and Buo-Fu Chen and Hsuan-Tien Lin and Boyo Chen and Treng-Shi Huang},
title = {Accurate and Clear Quantitative Precipitation
Nowcasting Based on a Deep Learning Model with
Consecutive Attention and Rainmap Discrimination},
journal = {Artificial Intelligence for the Earth Systems},
volume = 1,
number = 3,
pages = {1--19},
year = 2022,
month = jul,
official = {https://journals.ametsoc.org/view/journals/aies/1/3/AIES-D-21-0005.1.xml},
software = {https://github.com/ashesh-0/AccClearQPN},
keyword = {deep, kdd, vision, generative}
}
@inproceedings{SC2022,
author = {Si-An Chen and Jie-Jyun Liu and Tsung-Han Yang and Hsuan-Tien Lin and Chih-Jen Lin},
title = {Even the Simplest Baseline Needs Careful
Re-investigation: A Case Study on {XML-CNN}},
booktitle = {Proceedings of the Conference of the North American
Chapter of the Association for Computational
Linguistics (NAACL)},
pages = {1987--2000},
year = 2022,
month = jul,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/naacl22xmlcnn.pdf},
software = {https://github.com/sian-chen/xml-cnn-study-code},
keyword = {deep, multi-label, nlp}
}
@misc{SC2021b,
author = {Si-An Chen and Chun-Liang Li and Hsuan-Tien Lin},
title = {Improving Model Compatibility of Generative
Adversarial Networks by Boundary Calibration},
note = {presented in the Workshop on Deep Generative Models
and Downstream Applications @ NeurIPS},
year = 2021,
month = dec,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsdgm21bcgan.pdf},
arxiv = {https://arxiv.org/abs/2111.02316},
keyword = {deep, generative}
}
@misc{CC2021,
author = {Chia-You Chen and Hsuan-Tien Lin and Gang Niu and
Masashi Sugiyama},
title = {On the Role of Pre-training for Meta Few-Shot
Learning},
note = {presented in the 5th Workshop on Meta-Learning @
NeurIPS},
year = 2021,
month = dec,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsmetalearn21pretrain.pdf},
keyword = {deep, weakly}
}
@inproceedings{SC2021a,
author = {Si-An Chen and Chun-Liang Li and Hsuan-Tien Lin},
title = {A Unified View of {cGANs} with and without
Classifiers},
booktitle = {Advances in Neural Information Processing Systems:
Proceedings of the 2021 Conference (NeurIPS)},
volume = {34},
pages = {27566--27579},
year = 2021,
month = dec,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/neurips21ecgan.pdf},
appendix = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/neurips21ecgan_appendix.pdf},
arxiv = {https://arxiv.org/abs/2111.01035},
software = {https://github.com/sian-chen/PyTorch-ECGAN},
keyword = {deep, vision, generative}
}
@inproceedings{A2021,
author = {Ashesh and Chu-Song Chen and Hsuan-Tien Lin},
title = {360-Degree Gaze Estimation in the Wild Using
Multiple Zoom Scales},
booktitle = {Proceedings of the British Machine Vision Conference
(BMVC)},
pages = {372},
year = 2021,
month = nov,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/bmvc21gaze.pdf},
arxiv = {https://arxiv.org/abs/2009.06924},
software = {https://github.com/ashesh-0/MultiZoomGaze},
keyword = {deep, kdd, vision}
}
@techreport{CH2021,
author = {Cheng-Yu Hsieh and Wei-I Lin and Miao Xu and Gang
Niu and Hsuan-Tien Lin and Masashi Sugiyama},
title = {Active Refinement for Multi-Label Learning: A
Pseudo-Label Approach},
institution = {National Taiwan University and RIKEN Center for
Advanced Intelligence Project},
year = 2021,
month = sep,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/activerefinement.pdf},
arxiv = {http://arxiv.org/abs/2109.14676},
keyword = {multi-label, weakly, active},
preliminary = {A shorter version appeared in the Workshop on
Learning from Limited Labeled Data @ ICLR '19.}
}
@inproceedings{CB2021,
author = {Ching-Yuan Bai and Hsuan-Tien Lin and Colin Raffel and
Wendy {Chih-wen} Kan},
title = {On Training Sample Memorization: Lessons from
Benchmarking Generative Modeling with a Large-scale
Competition},
booktitle = {Proceedings of the 27th ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining
(KDD)},
pages = {2534--2542},
year = 2021,
month = aug,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/kdd21kagglegan.pdf},
arxiv = {http://arxiv.org/abs/2106.03062},
keyword = {deep, kdd, vision, generative}
}
@inproceedings{YC2021,
author = {Yu-Ying Chou and Hsuan-Tien Lin and Tyng-Luh Liu},
title = {Adaptive and Generative Zero-shot Learning},
booktitle = {Proceedings of the International Conference on
Learning Representations (ICLR)},
year = 2021,
month = may,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/iclr21agzsl.pdf},
official = {https://openreview.net/forum?id=ahAUv8TI2Mz},
keyword = {deep, weakly, vision, generative}
}
@proceedings{HL2020,
title = {Advances in Neural Information Processing Systems
33: Annual Conference on Neural Information
Processing Systems 2020},
year = 2020,
booktitle = {Advances in Neural Information Processing Systems
33: Annual Conference on Neural Information
Processing Systems 2020},
editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia
Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
month = dec,
official = {https://proceedings.neurips.cc/paper_files/paper/2020},
keyword = {other}
}
@inproceedings{CT2020,
author = {Chun-Yi Tu and Hsuan-Tien Lin},
title = {Cost Learning Network for Imbalanced Classification},
booktitle = {Proceedings of the Conference on Technologies and
Applications for Artificial Intelligence (TAAI)},
pages = {47--51},
year = 2020,
month = nov,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai20cln.pdf},
keyword = {cost-sensitive, deep, reinforcement}
}
@inproceedings{YChung2020,
author = {Yu-An Chung and Shao-Wen Yang and Hsuan-Tien Lin},
title = {Cost-Sensitive Deep Learning with Layer-Wise Cost
Estimation},
booktitle = {Proceedings of the Conference on Technologies and
Applications for Artificial Intelligence (TAAI)},
year = 2020,
month = nov,
arxiv = {http://arxiv.org/abs/1611.05134},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai20csdl.pdf},
keyword = {cost-sensitive, deep},
note = {winner of the best paper award}
}
@inproceedings{MY2020,
author = {Michelle Yuan and Hsuan-Tien Lin and Jordan
Boyd-Graber},
title = {Cold-start Active Learning through Self-supervised
Language Modeling},
booktitle = {Proceedings of the Conference on Empirical Methods
in Natural Language Processing (EMNLP)},
month = nov,
year = 2020,
arxiv = {https://arxiv.org/abs/2010.09535},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/emnlp20alps.pdf},
keyword = {deep, active, nlp}
}
@inproceedings{KT2020,
author = {Kuen-Han Tsai and Hsuan-Tien Lin},
title = {Learning from Label Proportions with Consistency
Regularization},
booktitle = {Proceedings of the Asian Conference on Machine
Learning (ACML)},
month = nov,
year = 2020,
arxiv = {https://arxiv.org/pdf/1910.13188.pdf},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml20llpvat.pdf},
keyword = {deep, weakly}
}
@inproceedings{CL2020,
author = {Chi-Chang Lee and Yu-Chen Lin and Hsuan-Tien Lin and
Hsin-Min Wang and Yu Tsao},
title = {{SERIL}: Noise Adaptive Speech Enhancement using
Regularization-based Incremental Learning},
booktitle = {Proceedings of the Conference of the International
Speech Communication Association (INTERSPEECH)},
month = oct,
year = 2020,
arxiv = {https://arxiv.org/abs/2005.11760},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/interspeech20SERIL.pdf},
keyword = {deep, weakly, kdd}
}
@inproceedings{CB2020,
author = {Ching-Yuan Bai and Buo-Fu Chen and Hsuan-Tien Lin},
title = {Benchmarking Tropical Cyclone Rapid Intensification
with Satellite Images and Attention-based Deep
Models},
booktitle = {Proceedings of the European Conference on
Machine Learning and Principles and Practice of
Knowledge Discovery in Databases (ECML/PKDD)},
month = sep,
year = 2020,
data = {http://www.csie.ntu.edu.tw/~htlin/program/TCRISI},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/ecml20tcrisi.pdf},
preliminary = {A preliminary version appeared in the Workshop on
Machine Learning for Earth Observation @ ECML/PKDD
'19.},
keyword = {deep, kdd}
}
@misc{IC2020,
author = {I-Ting Chen and Hsuan-Tien Lin},
title = {Improving Unsupervised Domain Adaptation with
Representative Selection Techniques},
note = {presented in the Workshop on Interactive Adaptive
Learning @ ECML/PKDD},
pages = {5--21},
month = sep,
year = 2020,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsial20sel.pdf},
keyword = {deep, weakly}
}
@article{SC2020,
author = {Si-An Chen and Voot Tangkaratt and Hsuan-Tien Lin and
Masashi Sugiyama},
title = {Active Deep {Q-learning} with Demonstration},
journal = {Machine Learning},
volume = 109,
number = {9--10},
pages = {1699--1725},
year = 2020,
month = sep,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/adqn.pdf},
arxiv = {http://arxiv.org/abs/1812.02632},
official = {https://rdcu.be/b7SFF},
keyword = {active, deep, reinforcement},
note = {also presented in the journal track of ECML '20}
}
@inproceedings{YChou2020,
author = {Yu-Ting Chou and Gang Niu and Hsuan-Tien Lin and
Masashi Sugiyama},
title = {Unbiased Risk Estimators Can Mislead: A Case Study
of Learning with Complementary Labels},
booktitle = {Proceedings of the International Conference on
Machine Learning (ICML)},
month = jul,
year = 2020,
arxiv = {http://arxiv.org/abs/2007.02235},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/icml20SCL.pdf},
keyword = {deep, weakly}
}
@article{TP2019,
author = {Tsung-Yi Pan and Hsuan-Tien Lin and Hao-Yu Liao},
title = {A Data-Driven Probabilistic Rainfall-Inundation
Model for Flash-Flood Warnings},
journal = {Water},
volume = 11,
number = {12},
pages = {2534},
year = 2019,
month = nov,
official = {https://www.mdpi.com/2073-4441/11/12/2534/pdf},
keyword = {kdd}
}
@inproceedings{YY2019,
author = {Yao-Yuan Yang and Yi-An Lin and Hong-Min Chu and Hsuan-Tien Lin},
title = {Deep Learning with a Rethinking Structure for
Multi-label Classification},
booktitle = {Proceedings of the Asian Conference on Machine
Learning (ACML)},
year = 2019,
month = nov,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml19rethink.pdf},
keyword = {cost-sensitive, multi-label, deep}
}
@misc{CB2019,
author = {Ching-Yuan Bai and Buo-Fu Chen and Hsuan-Tien Lin},
title = {Attention-based Deep Tropical Cyclone Rapid
Intensification Prediction},
note = {presented in the Workshop on Machine Learning for
Earth Observation @ ECML/PKDD},
year = 2019,
month = sep,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsmaclean19tcri.pdf},
arxiv = {http://arxiv.org/abs/1909.11616},
keyword = {deep, kdd}
}
@article{HC2019,
author = {Hong-Min Chu and Kuan-Hao Huang and Hsuan-Tien Lin},
title = {Dynamic Principal Projection for Cost-Sensitive
Online Multi-Label Classification},
journal = {Machine Learning},
volume = 108,
number = {8--9},
pages = {1193--1230},
year = 2019,
month = sep,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/csdpp.pdf},
arxiv = {http://arxiv.org/abs/1711.05060},
official = {https://rdcu.be/bg7UI},
keyword = {multi-label, online},
note = {also presented in the journal track of ECML '19}
}
@inproceedings{CH2019,
author = {Cheng-Yu Hsieh and Miao Xu and Gang Niu and Hsuan-Tien Lin and Masashi Sugiyama},
title = {A Pseudo-Label Method for Coarse-to-Fine Multi-Label
Learning with Limited Supervision},
note = {presented in the Workshop on Learning from Limited
Labeled Data @ ICLR},
year = 2019,
month = may,
keyword = {multi-label, weakly},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wslld19c2fml.pdf},
official = {https://openreview.net/forum?id=rylVYjqHdN}
}
@article{YT2019,
author = {Yu-Lin Tsou and Hsuan-Tien Lin},
title = {Annotation Cost-sensitive Active Learning by Tree
Sampling},
journal = {Machine Learning},
volume = 108,
number = 5,
pages = {785--807},
year = 2019,
month = may,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/csts.pdf},
note = {also presented in the journal track of ACML '18},
official = {https://rdcu.be/bul9F},
keyword = {active, cost-sensitive}
}
@article{BC2019,
author = {BuoFu Chen and Boyo Chen and Hsuan-Tien Lin and
Russell L. Elsberry},
title = {Estimating Tropical Cyclone Intensity by Satellite
Imagery Utilizing Convolutional Neural Networks},
journal = {Weather and Forecasting},
volume = 34,
number = 2,
pages = {447--465},
year = 2019,
month = apr,
preliminary = {A shorter version appeared in KDD '18.},
keyword = {deep, kdd},
official = {https://doi.org/10.1175/WAF-D-18-0136.1}
}
@inproceedings{YP2018,
author = {Yu-Shao Peng and Kai-Fu Tang and Hsuan-Tien Lin and
Edward Y. Chang},
title = {{REFUEL}: Exploring Sparse Features in Deep
Reinforcement Learning for Fast Disease Diagnosis},
booktitle = {Advances in Neural Information Processing Systems:
Proceedings of the 2018 Conference (NeurIPS)},
year = 2018,
month = dec,
pages = {7322-7331},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/neurips18refuel.pdf},
appendix = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/neurips18refuel_appendix.pdf},
keyword = {active, deep, reinforcement}
}
@article{CY2018,
author = {Chih-Kuan Yeh and Cheng-Yu Hsieh and Hsuan-Tien Lin},
title = {Automatic Bridge Bidding Using Deep Reinforcement
Learning},
journal = {{IEEE} Transactions on Games},
year = 2018,
month = dec,
volume = 10,
number = 4,
pages = {365--377},
preliminary = {A shorter version appeared in ECAI '16.},
software = {https://github.com/yankeesrules/Automatic-Bridge-Bidding-by-Deep-Reinforcement-Learning},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/bridgedrl.pdf},
keyword = {deep, kdd, reinforcement}
}
@inproceedings{HC2018,
author = {Hsien-Chun Chiu and Hsuan-Tien Lin},
title = {Multi-label Classification with Feature-aware
Cost-sensitive Label Embedding},
booktitle = {Proceedings of the Conference on Technologies and
Applications for Artificial Intelligence (TAAI)},
year = 2018,
month = nov,
pages = {40--45},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai18facle.pdf},
keyword = {cost-sensitive, multi-label}
}
@inproceedings{YY2018b,
author = {Yao-Yuan Yang and Yi-An Lin and Hong-Min Chu and Hsuan-Tien Lin},
title = {Deep Learning with a Rethinking Structure for
Multi-label Classification},
note = {presented in the Workshop on Multi-output Learning
@ ACML},
year = 2018,
month = nov,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsmol18rethink.pdf},
keyword = {cost-sensitive, multi-label, deep}
}
@inproceedings{BC2018,
author = {Boyo Chen and Buo-Fu Chen and Hsuan-Tien Lin},
title = {Rotation-blended {CNNs} on a New Open Dataset for
Tropical Cyclone Image-to-intensity Regression},
booktitle = {Proceedings of the 24th ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining
(KDD)},
data = {http://www.csie.ntu.edu.tw/~htlin/program/TCIR},
year = 2018,
month = aug,
pages = {90--99},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/kdd18tcir.pdf},
keyword = {deep, kdd}
}
@inproceedings{YY2018a,
author = {Yao-Yuan Yang and Kuan-Hao Huang and Chih-Wei Chang
and Hsuan-Tien Lin},
title = {Cost-Sensitive Reference Pair Encoding for
Multi-Label Learning},
booktitle = {Proceedings of the Pacific-Asia Conference on
Knowledge Discovery and Data Mining (PAKDD)},
year = 2018,
month = jun,
arxiv = {https://arxiv.org/abs/1611.09461},
pages = {143--155},
software = {https://github.com/yangarbiter/multilabel-learn/blob/master/mlearn/models/csrpe.py},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/pakdd18csrpe.pdf},
keyword = {cost-sensitive, multi-label}
}
@inproceedings{YS2018,
author = {Yong-Siang Shih and Kai-Yueh Chang and Hsuan-Tien Lin
and Min Sun},
title = {Compatibility Family Learning for Item
Recommendation and Generation},
booktitle = {Proceedings of the AAAI Conference on Artificial
Intelligence (AAAI)},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/aaai18cfl.pdf},
arxiv = {http://arxiv.org/abs/1712.01262},
year = 2018,
month = feb,
keyword = {deep, vision}
}
@inproceedings{CH2018,
author = {Cheng-Yu Hsieh and Yi-An Lin and Hsuan-Tien Lin},
title = {A Deep Model with Local Surrogate Loss for General
Cost-sensitive Multi-label Learning},
booktitle = {Proceedings of the AAAI Conference on Artificial
Intelligence (AAAI)},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/aaai18llsl.pdf},
year = 2018,
month = feb,
pages = {3239--3246},
keyword = {cost-sensitive, deep, multi-label}
}
@inproceedings{KL2017,
author = {Kuo-Hsuan Lo and Hsuan-Tien Lin},
title = {Cost-sensitive Encoding for Label Space Dimension
Reduction Algorithms on Multi-label Classification},
booktitle = {Proceedings of the Conference on Technologies and
Applications for Artificial Intelligence (TAAI)},
year = 2017,
month = dec,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai17csedr.pdf},
keyword = {cost-sensitive, multi-label}
}
@techreport{TJ2017,
author = {Te-Kang Jan and Da-Wei Wang and Chi-Hung Lin and Hsuan-Tien Lin},
title = {Soft Methodology for Cost-and-error Sensitive
Classification},
institution = {National Taiwan University and Academia Sinica},
year = 2017,
month = oct,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/softcs.pdf},
preliminary = {A shorter version appeared in KDD '12.},
arxiv = {http://arxiv.org/abs/1710.09515},
keyword = {cost-sensitive}
}
@inproceedings{YL2017,
author = {Yi-An Lin and Hsuan-Tien Lin},
title = {Cyclic Classifier Chain for Cost-Sensitive
Multilabel Classification},
booktitle = {Proceedings of the IEEE International Conference on
Data Science and Advanced Analytics (DSAA)},
year = 2017,
month = oct,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/dsaa17cccc.pdf},
keyword = {cost-sensitive, multi-label}
}
@techreport{YY2017,
author = {Yao-Yuan Yang and Shao-Chuan Lee and Yu-An Chung and
Tung-En Wu and Si-An Chen and Hsuan-Tien Lin},
title = {libact: Pool-based Active Learning in Python},
institution = {National Taiwan University},
software = {https://github.com/ntucllab/libact},
year = 2017,
month = oct,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/libact.pdf},
arxiv = {https://arxiv.org/abs/1710.00379},
keyword = {active}
}
@article{KH2017,
author = {Kuan-Hao Huang and Hsuan-Tien Lin},
title = {Cost-Sensitive Label Embedding for Multi-Label
Classification},
journal = {Machine Learning},
pages = {1725--1746},
volume = 106,
number = {9--10},
year = 2017,
month = oct,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/ecml17csle.pdf},
arxiv = {http://arxiv.org/abs/1603.09048},
note = {also presented in the journal track of ECML '17},
keyword = {cost-sensitive, multi-label}
}
@techreport{WS2017,
author = {Wei-Yuan Shen and Hsuan-Tien Lin},
title = {Active Sampling of Pairs and Points for Large-scale
Linear Bipartite Ranking},
institution = {National Taiwan University},
year = 2017,
month = aug,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/activesample.pdf},
preliminary = {A shorter version appeared in ACML '13.},
arxiv = {http://arxiv.org/abs/1708.07336},
keyword = {ranking}
}
@article{YW2017,
author = {Yu-Ping Wu and Hsuan-Tien Lin},
title = {Progressive $k$-Labelsets for Cost-Sensitive
Multi-Label Classification},
journal = {Machine Learning},
pages = {671--694},
volume = 106,
number = 5,
year = 2017,
month = may,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml16prakel.pdf},
official = {http://rdcu.be/nS3c},
note = {also presented in the journal track of ACML '16},
keyword = {cost-sensitive, multi-label}
}
@inproceedings{HC2016,
author = {Hong-Min Chu and Hsuan-Tien Lin},
title = {Can Active Learning Experience Be Transferred?},
booktitle = {Proceedings of the IEEE International Conference on
Data Mining (ICDM)},
year = 2016,
month = dec,
arxiv = {http://arxiv.org/abs/1608.00667},
pages = {841--846},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/icdm16tlsa.pdf},
keyword = {active, online}
}
@inproceedings{KH2016b,
author = {Kuan-Hao Huang and Hsuan-Tien Lin},
title = {A Novel Uncertainty Sampling Algorithm for
Cost-sensitive Multiclass Active Learning},
booktitle = {Proceedings of the IEEE International Conference on
Data Mining (ICDM)},
pages = {925--930},
year = 2016,
month = dec,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/icdm16alce.pdf},
keyword = {active, cost-sensitive}
}
@inproceedings{CY2016,
author = {Chih-Kuan Yeh and Hsuan-Tien Lin},
title = {Automatic Bridge Bidding Using Deep Reinforcement
Learning},
booktitle = {Proceedings of the 22nd European Conference on
Artificial Intelligence (ECAI)},
pages = {1362--1369},
year = 2016,
month = sep,
arxiv = {http://arxiv.org/abs/1607.03290},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/ecai16bridge.pdf},
keyword = {deep, kdd, reinforcement}
}
@inproceedings{YC2016,
author = {Yu-An Chung and Hsuan-Tien Lin and Shao-Wen Yang},
title = {Cost-aware Pre-training for Multiclass
Cost-sensitive Deep Learning},
booktitle = {Proceedings of the 25th International Joint
Conference on Artificial Intelligence (IJCAI)},
year = 2016,
month = jul,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/ijcai16csdnn.pdf},
pages = {1411--1417},
arxiv = {http://arxiv.org/abs/1511.09337},
software = {https://github.com/iamyuanchung/csdnn},
keyword = {cost-sensitive, deep}
}
@inproceedings{CL2016,
author = {Chun-Liang Li and Hsuan-Tien Lin and Chi-Jen Lu},
title = {Rivalry of Two Families of Algorithms for
Memory-Restricted Streaming PCA},
booktitle = {Proceedings of the 19th International Conference on
Artificial Intelligence and Statistics (AISTATS)},
pages = {473--481},
month = jun,
year = 2016,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/aistats16onlinepca.pdf},
appendix = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/aistats16onlinepca_appendix.pdf},
arxiv = {http://arxiv.org/abs/1506.01490},
keyword = {online}
}
@inproceedings{KH2016a,
author = {Kuan-Hao Huang and Hsuan-Tien Lin},
title = {Linear Upper Confidence Bound Algorithm for
Contextual Bandit Problem with Piled Rewards},
booktitle = {Proceedings of the Pacific-Asia Conference on
Knowledge Discovery and Data Mining (PAKDD)},
pages = {143--155},
volume = {1},
month = apr,
year = 2016,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/pakdd16piled.pdf},
keyword = {online}
}
@inproceedings{SY2016,
author = {Sheng-Chi You and Hsuan-Tien Lin},
title = {A Simple Unlearning Framework for Online Learning
under Concept Drifts},
booktitle = {Proceedings of the Pacific-Asia Conference on
Knowledge Discovery and Data Mining (PAKDD)},
month = apr,
pages = {115--126},
volume = {1},
year = 2016,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/pakdd16unlearn.pdf},
keyword = {online}
}
@article{CL2015b,
author = {Chun-Liang Li and Yu-Chuan Su and Ting-Wei Lin and
Cheng-Hao Tsai and Wei-Cheng Chang and Kuan-Hao
Huang and Tzu-Ming Kuo and Shan-Wei Lin and
Young-San Lin and Yu-Chen Lu and Chun-Pai Yang and
Cheng-Xia Chang and Wei-Sheng Chin and Yu-Chin Juan
and Hsiao-Yu Tung and Jui-Pin Wang and Cheng-Kuang
Wei and Felix Wu and Tu-Chun Yin and Tong Yu and
Yong Zhuang and Shou-De Lin and Hsuan-Tien Lin and
Chih-Jen Lin},
title = {Combination of Feature Engineering and Ranking
Models for Paper-Author Identification in {KDD Cup}
2013},
journal = {Journal of Machine Learning Research},
volume = 16,
number = 12,
pages = {2921--2947},
month = dec,
year = 2015,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wskdd13cup_one.pdf},
note = {extended first-place winner report of {KDD Cup} 2013
track~1},
keyword = {kdd}
}
@inproceedings{HY2015,
author = {Han-Jay Yang and Hsuan-Tien Lin},
title = {A Practical Divide-and-Conquer Approach for
Preference-Based Learning to Rank},
booktitle = {Proceedings of the Conference on Technologies and
Applications for Artificial Intelligence (TAAI)},
note = {winner of the best paper award},
month = oct,
year = 2015,
pages = {554--561},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai15fuzzy.pdf},
keyword = {ranking}
}
@article{CL2015a,
author = {Chun-Liang Li and Chun-Sung Ferng and Hsuan-Tien Lin},
title = {Active Learning Using Hint Information},
journal = {Neural Computation},
year = 2015,
month = aug,
pages = {1738--1765},
volume = 27,
number = 8,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/activehint.pdf},
preliminary = {A shorter version appeared in ACML '12.},
keyword = {active}
}
@inproceedings{CH2015,
author = {Chun-Yen Ho and Hsuan-Tien Lin},
title = {Contract Bridge Bidding by Learning},
booktitle = {Proceedings of the Workshop on Computer Poker and
Imperfect Information @ AAAI},
pages = {30--36},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wscpii15bridgebid.pdf},
year = 2015,
month = jan,
keyword = {kdd}
}
@inproceedings{WH2015,
author = {Wei-Ning Hsu and Hsuan-Tien Lin},
title = {Active Learning by Learning},
booktitle = {Proceedings of the AAAI Conference on Artificial
Intelligence (AAAI)},
pages = {2659--2665},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/aaai15albl.pdf},
year = 2015,
month = jan,
keyword = {active, online}
}
@inproceedings{KC2014,
author = {Ku-Chun Chou and Chao-Kai Chiang and Hsuan-Tien Lin
and Chi-Jen Lu},
title = {Pseudo-reward Algorithms for Contextual Bandits with
Linear Payoff Functions},
booktitle = {Proceedings of the Asian Conference on Machine
Learning (ACML)},
year = 2014,
month = nov,
volume = 39,
series = {{JMLR} Workshop and Conference Proceedings},
pages = {344--359},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml14pseudo.pdf},
keyword = {online}
}
@inproceedings{HL2014,
author = {Hsuan-Tien Lin},
title = {Reduction from Cost-Sensitive Multiclass
Classification to One-versus-One Binary
Classification},
booktitle = {Proceedings of the Asian Conference on Machine
Learning (ACML)},
month = nov,
year = 2014,
volume = 39,
series = {{JMLR} Workshop and Conference Proceedings},
pages = {371--386},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml14csovo.pdf},
keyword = {cost-sensitive}
}
@article{WC2014,
author = {Wei-Sheng Chin and Yu-Chin Juan and Yong Zhuang and
Felix Wu and Hsiao-Yu Tung and Tong Yu and Jui-Pin
Wang and Cheng-Xia Chang and Chun-Pai Yang and
Wei-Cheng Chang and Kuan-Hao Huang and Tzu-Ming Kuo
and Shan-Wei Lin and Young-San Lin and Yu-Chen Lu
and Yu-Chuan Su and Cheng-Kuang Wei and Tu-Chun Yin
and Chun-Liang Li and Ting-Wei Lin and Cheng-Hao
Tsai and Shou-De Lin and Hsuan-Tien Lin and Chih-Jen
Lin},
title = {Effective String Processing and Matching for Author
Disambiguation},
journal = {Journal of Machine Learning Research},
volume = 15,
number = 10,
pages = {3037--3064},
month = oct,
year = 2014,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wskdd13cup_two.pdf},
note = {extended first-place winner report of {KDD Cup} 2013
track~2},
keyword = {kdd}
}
@inproceedings{CL2014b,
author = {Chun-Liang Li and Hsuan-Tien Lin},
title = {Condensed Filter Tree for Cost-Sensitive Multi-Label
Classification},
booktitle = {Proceedings of the International Conference on
Machine Learning (ICML)},
month = jun,
year = 2014,
pages = {423--431},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/icml14CSMLtree.pdf},
appendix = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/icml14CSMLtree_appendix.pdf},
keyword = {cost-sensitive, multi-label}
}
@inproceedings{SC2014,
author = {Shang-Tse Chen and Hsuan-Tien Lin and Chi-Jen Lu},
title = {Boosting with Online Binary Learners for the
Multiclass Bandit Problem},
booktitle = {Proceedings of the International Conference on
Machine Learning (ICML)},
month = jun,
year = 2014,
pages = {342--350},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/icml14banditboost.pdf},
keyword = {online}
}
@inproceedings{YC2014,
author = {Yu-Cheng Chou and Hsuan-Tien Lin},
title = {Machine Learning Approaches for Interactive
Verification},
booktitle = {Proceedings of the Pacific-Asia Conference on
Knowledge Discovery and Data Mining (PAKDD), Part
II},
month = may,
year = 2014,
volume = 8444,
series = {Lecture Notes in Computer Science},
pages = {122--133},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/pakdd14interactive.pdf},
keyword = {active}
}
@article{YR2014,
author = {Yu-Xun Ruan and Hsuan-Tien Lin and Ming-Feng Tsai},
title = {Improving Ranking Performance with Cost-sensitive
Ordinal Classification via Regression},
journal = {Information Retrieval},
month = feb,
year = 2014,
volume = 17,
number = 1,
pages = {1--20},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/cocr.pdf},
keyword = {cost-sensitive, ranking}
}
@inproceedings{KL2013,
author = {Ken-Yi Lin and Te-Kang Jan and Hsuan-Tien Lin},
title = {Data Selection Techniques for Large-scale {RankSVM}},
booktitle = {Proceedings of the Conference on Technologies and
Applications for Artificial Intelligence (TAAI)},
month = dec,
year = 2013,
pages = {25--30},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai13prune.pdf},
keyword = {ranking}
}
@inproceedings{YC2013,
author = {Ya-Hsuan Chang and Hsuan-Tien Lin},
title = {Pairwise Regression with Upper Confidence Bound for
Contextual Bandit with Multiple Actions},
booktitle = {Proceedings of the Conference on Technologies and
Applications for Artificial Intelligence (TAAI)},
month = dec,
year = 2013,
pages = {19--24},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai13cbma.pdf},
keyword = {online}
}
@inproceedings{PC2013,
author = {Po-Lung Chen and Hsuan-Tien Lin},
title = {Active Learning for Multiclass Cost-Sensitive
Classification Using Probabilistic Models},
booktitle = {Proceedings of the Conference on Technologies and
Applications for Artificial Intelligence (TAAI)},
month = dec,
year = 2013,
pages = {13--18},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai13coactive.pdf},
keyword = {active, cost-sensitive}
}
@inproceedings{WS2013,
author = {Wei-Yuan Shen and Hsuan-Tien Lin},
title = {Active Sampling of Pairs and Points for Large-scale
Linear Bipartite Ranking},
booktitle = {Proceedings of the Asian Conference on Machine
Learning (ACML)},
month = nov,
year = 2013,
volume = 29,
series = {{JMLR} Workshop and Conference Proceedings},
pages = {388--403},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml13bipartite.pdf},
keyword = {ranking}
}
@article{CF2013,
author = {Chun-Sung Ferng and Hsuan-Tien Lin},
title = {Multilabel Classification Using Error-correcting
Codes of Hard or Soft Bits},
journal = {{IEEE} Transactions on Neural Networks and Learning
Systems},
volume = 24,
number = 11,
pages = {1888--1900},
month = nov,
year = 2013,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/mlecc.pdf},
preliminary = {A shorter version appeared in ACML '11.},
keyword = {multi-label}
}
@inproceedings{YC2012,
author = {Yao-Nan Chen and Hsuan-Tien Lin},
title = {Feature-aware Label Space Dimension Reduction for
Multi-label Classification},
booktitle = {Advances in Neural Information Processing Systems:
Proceedings of the 2012 Conference (NeurIPS)},
month = dec,
year = 2012,
pages = {1529--1537},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/nips12cplst.pdf},
keyword = {multi-label}
}
@inproceedings{CL2012,
author = {Chun-Liang Li and Chun-Sung Ferng and Hsuan-Tien Lin},
title = {Active Learning with Hinted Support Vector Machine},
booktitle = {Proceedings of the Asian Conference on Machine
Learning (ACML)},
month = nov,
year = 2012,
volume = 25,
series = {{JMLR} Workshop and Conference Proceedings},
pages = {221--235},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml12hint.pdf},
keyword = {active}
}
@article{FT2012,
author = {Farbound Tai and Hsuan-Tien Lin},
title = {Multilabel Classification with Principal Label Space
Transformation},
journal = {Neural Computation},
month = sep,
year = 2012,
pages = {2508--2542},
volume = 24,
number = 9,
preliminary = {A preliminary version (under a mis-spelled title)
appeared in the MLD Workshop @ ICML '10.},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/plst.pdf},
keyword = {multi-label}
}
@article{YK2012,
author = {Yin-Hsi Kuo and Wen-Huang Cheng and Hsuan-Tien Lin
and Winston H. Hsu},
title = {Unsupervised Semantic Feature Discovery for Image
Object Retrieval and Tag Refinement},
journal = {IEEE Transactions on Multimedia},
month = aug,
year = 2012,
volume = 14,
number = 4,
pages = {1079--1090},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/usfd.pdf},
keyword = {vision}
}
@inproceedings{TJ2012,
author = {Te-Kang Jan and Da-Wei Wang and Chi-Hung Lin and Hsuan-Tien Lin},
title = {A Simple Methodology of Soft Cost-sensitive
Classification},
booktitle = {Proceedings of the 18th ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining
(KDD)},
month = aug,
year = 2012,
pages = {141--149},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/kdd12softcost.pdf},
keyword = {cost-sensitive}
}
@techreport{KW2012,
author = {Kuan-Wei Wu and Chun-Sung Ferng and Chia-Hua Ho and
An-Chun Liang and Chun-Heng Huang and Wei-Yuan Shen
and Jyun-Yu Jiang and Ming-Hao Yang and Ting-Wei Lin
and Ching-Pei Lee and Perng-Hwa Kung and Chin-En
Wang and Ting-Wei Ku and Chun-Yen Ho and Yi-Shu Tai
and I-Kuei Chen and Wei-Lun Huang and Che-Ping Chou
and Tse-Ju Lin and Han-Jay Yang and Yen-Kai Wang and
Cheng-Te Li and Shou-De Lin and Hsuan-Tien Lin},
title = {A Two-Stage Ensemble of Diverse Models for
Advertisement Ranking in {KDD Cup} 2012},
institution = {National Taiwan University},
month = aug,
year = 2012,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wskdd12cup.pdf},
note = {First-place winner report of {KDD Cup} 2012 track~2},
keyword = {kdd}
}
@techreport{KC2012,
author = {Ku-Chun Chou and Hsuan-Tien Lin},
title = {Balancing between Estimated Reward and Uncertainty
during News Article Recommendation for {ICML} 2012
Exploration and Exploitation Challenge},
institution = {National Taiwan University},
month = jun,
year = 2012,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsicml12ene.pdf},
note = {First-place winner report of the Exploration and
Exploitation Challenge @ ICML 2012 phase~1},
keyword = {online}
}
@techreport{HL2012b,
author = {Hsuan-Tien Lin and Malik Madgon-Ismail and Yaser
S. Abu-Mostafa},
title = {Teaching Machine Learning to a Diverse Audience: the
Foundation-based Approach},
institution = {National Taiwan Unversity},
note = {presented in the Teaching Machine Learning Workshop
@ ICML '12},
month = jun,
year = 2012,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wstml12solid.pdf},
keyword = {other}
}
@inproceedings{SC2012,
author = {Shang-Tse Chen and Hsuan-Tien Lin and Chi-Jen Lu},
title = {An Online Boosting Algorithm with Theoretical
Justifications},
booktitle = {Proceedings of the International Conference on
Machine Learning (ICML)},
month = jun,
year = 2012,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/icml12onlineboost.pdf},
keyword = {online}
}
@article{HL2012a,
author = {Hsuan-Tien Lin and Ling Li},
title = {Reduction from Cost-sensitive Ordinal Ranking to
Weighted Binary Classification},
journal = {Neural Computation},
month = may,
year = 2012,
volume = 24,
number = 5,
pages = {1329--1367},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/redordinal.pdf},
preliminary = {Some preliminary parts appeared in NeurIPS '06 and PL
Workshop @ ECML/PKDD '09.},
keyword = {cost-sensitive, ranking}
}
@inproceedings{TM2012,
author = {Todd G. McKenzie and Chun-Sung Ferng and Yao-Nan
Chen and Chun-Liang Li and Cheng-Hao Tsai and
Kuan-Wei Wu and Ya-Hsuan Chang and Chung-Yi Li and
Wei-Shih Lin and Shu-Hao Yu and Chieh-Yen Lin and
Po-Wei Wang and Chia-Mau Ni and Wei-Lun Su and
Tsung-Ting Kuo and Chen-Tse Tsai and Po-Lung Chen
and Rong-Bing Chiu and Ku-Chun Chou and Yu-Cheng
Chou and Chien-Chih Wang and Chen-Hung Wu and Hsuan-Tien Lin and Chih-Jen Lin and Shou-De Lin},
title = {Novel Models and Ensemble Techniques to Discriminate
Favorite Items from Unrated Ones for Personalized
Music Recommendation},
booktitle = {Proceedings of the {KDD Cup} 2011 Workshop},
month = may,
year = 2012,
volume = 18,
series = {{JMLR} Workshop and Conference Proceedings},
pages = {101--135},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wskdd11cup_two.pdf},
note = {First-place winner report of {KDD Cup} 2011 track~2},
keyword = {kdd}
}
@inproceedings{PC2012,
author = {Po-Lung Chen and Chen-Tse Tsai and Yao-Nan Chen and
Ku-Chun Chou and Chun-Liang Li and Cheng-Hao Tsai
and Kuan-Wei Wu and Yu-Cheng Chou and Chung-Yi Li
and Wei-Shih Lin and Shu-Hao Yu and Rong-Bing Chiu
and Chieh-Yen Lin and Chien-Chih Wang and Po-Wei
Wang and Wei-Lun Su and Chen-Hung Wu and Tsung-Ting
Kuo and Todd G. McKenzie and Ya-Hsuan Chang and
Chun-Sung Ferng and Chia-Mau Ni and Hsuan-Tien Lin
and Chih-Jen Lin and Shou-De Lin},
title = {A Linear Ensemble of Individual and Blended Models
for Music Rating Prediction},
booktitle = {Proceedings of the {KDD Cup} 2011 Workshop},
month = may,
year = 2012,
volume = 18,
series = {{JMLR} Workshop and Conference Proceedings},
pages = {21--60},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wskdd11cup_one.pdf},
note = {First-place winner report of {KDD Cup} 2011 track~1},
keyword = {kdd}
}
@book{YA2012,
author = {Yaser S. Abu-Mostafa and Malik Magdon-Ismail and Hsuan-Tien Lin},
title = {Learning from Data: A Short Course},
publisher = {AMLBook},
month = mar,
year = {2012},
isbn = {978-1600490064},
url = {http://amlbook.com},
keyword = {other}
}
@inproceedings{CH2011,
author = {Chen-Wei Hung and Hsuan-Tien Lin},
title = {Multi-label Active Learning with Auxiliary Learner},
booktitle = {Proceedings of the Asian Conference on Machine
Learning (ACML)},
month = nov,
year = 2011,
volume = 20,
series = {{JMLR} Workshop and Conference Proceedings},
pages = {315--330},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml11auxiliary.pdf},
keyword = {active, multi-label}
}
@inproceedings{CF2011,
author = {Chun-Sung Ferng and Hsuan-Tien Lin},
title = {Multi-label Classification with Error-correcting
Codes},
booktitle = {Proceedings of the Asian Conference on Machine
Learning (ACML)},
month = nov,
year = 2011,
volume = 20,
series = {{JMLR} Workshop and Conference Proceedings},
pages = {281--295},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml11ecoc.pdf},
keyword = {multi-label}
}
@inproceedings{TJ2011,
author = {Te-Kang Jan and Hsuan-Tien Lin and Hsin-Pai Chen and
Tsung-Chen Chern and Chung-Yueh Huang and Bing-Cheng
Wen and Chia-Wen Chung and Yung-Jui Li and Ya-Ching
Chuang and Li-Li Li and Yu-Jiun Chan and Juen-Kai
Wang and Yuh-Lin Wang and Chi-Hung Lin and Da-Wei
Wang},
title = {Cost-sensitive Classification on Pathogen Species of
Bacterial Meningitis by {Surface Enhanced Raman
Scattering}},
booktitle = {Proceedings of the IEEE International Conference on
Bioinformatics and Biomedicine (BIBM)},
year = 2011,
month = nov,
pages = {390--393},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/bibm11csc.pdf},
keyword = {cost-sensitive, kdd}
}
@inproceedings{YK2011,
author = {Yin-Hsi Kuo and Hsuan-Tien Lin and Wen-Huang Cheng
and Yi-Hsuan Yang and Winston H. Hsu},
title = {Unsupervised Auxiliary Visual Words Discovery for
Large-Scale Image Object Retrieval},
booktitle = {Proceedings of the IEEE Computer Society Conference
on Computer Vision and Pattern Recognition (CVPR)},
month = jun,
year = 2011,
pages = {905--912},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/cvpr11vwd.pdf},
keyword = {vision}
}
@techreport{HL2010,
author = {Hsuan-Tien Lin},
title = {Cost-sensitive Classification: Status and Beyond},
institution = {National Taiwan University},
month = nov,
year = 2010,
note = {presented in the Workshop on Machine Learning
Research in Taiwan: Challenges and Directions @ TAAI
'10},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsmlrt10cost.pdf},
keyword = {cost-sensitive}
}
@inproceedings{HY2010,
author = {Hsiang-Fu Yu and Hung-Yi Lo and Hsun-Ping Hsieh and
Jing-Kai Lou and Todd G. McKenzie and Jung-Wei Chou
and Po-Han Chung and Chia-Hua Ho and Chun-Fu Chang
and Yin-Hsuan Wei and Jui-Yu Weng and En-Syu Yan and
Che-Wei Chang and Tsung-Ting Kuo and Yi-Chen Lo and
Po Tzu Chang and Chieh Po and Chien-Yuan Wang and
Yi-Hung Huang and Chen-Wei Hung and Yu-Xun Ruan and
Yu-Shi Lin and Shou-De Lin and Hsuan-Tien Lin and
Chih-Jen Lin},
title = {Feature Engineering and Classifier Ensemble for {KDD
Cup} 2010},
booktitle = {Proceedings of the KDD Cup 2010 Workshop},
year = {2010},
month = jul,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wskdd10cup.pdf},
note = {First-place winner report of {KDD Cup} 2010},
keyword = {kdd}
}
@techreport{MT2010,
author = {Ming-Feng Tsai and Shang-Tse Chen and Yao-Nan Chen
and Chun-Sung Ferng and Chia-Hsuan Wang and Tzay-Yeu
Wen and Hsuan-Tien Lin},
title = {An Ensemble Ranking Solution to the Yahoo! Learning
to Rank Challenge},
institution = {National Taiwan University},
month = jun,
year = 2010,
note = {presented in the Workshop of Yahoo! Learning to Rank
Challenge @ ICML '10},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsltr10ensemble.pdf},
keyword = {kdd, ranking}
}
@inproceedings{FT2010a,
author = {Farbound Tai and Hsuan-Tien Lin},
title = {Multi-label Classification with Principle Label
Space Transformation},
booktitle = {Proceedings of the 2nd International Workshop on
learning from Multi-Label Data @ ICML '10},
month = jun,
year = 2010,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsmld10plst.pdf},
keyword = {multi-label}
}
@inproceedings{HT2010,
author = {Han-Hsing Tu and Hsuan-Tien Lin},
title = {One-sided Support Vector Regression for Multiclass
Cost-sensitive Classification},
booktitle = {Proceedings of the 27th International Conference on
Machine Learning (ICML)},
month = jun,
year = 2010,
pages = {1095--1102},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/icml10osr.pdf},
keyword = {cost-sensitive}
}
@inproceedings{HL2009,
author = {Hsuan-Tien Lin and Ling Li},
title = {Combining Ordinal Preferences by Boosting},
month = sep,
year = 2009,
booktitle = {Proceedings of the Preference Learning Workshop in
ECML/PKDD '09},
pages = {69--83},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wspl09adaboostor.pdf},
keyword = {ranking}
}
@inproceedings{HLo2009,
author = {Hung-Yi Lo and Kai-Wei Chang and Shang-Tse Chen and
Tsung-Hsien Chiang and Chun-Sung Ferng and Cho-Jui
Hsieh and Yi-Kuang Ko and Tsung-Ting Kuo and
Hung-Che Lai and Ken-Yi Lin and Chia-Hsuan Wang and
Hsiang-Fu Yu and Chih-Jen Lin and Hsuan-Tien Lin and
Shou-De Lin},
title = {An Ensemble of Three Classifiers for KDD Cup 2009:
Expanded Linear Model, Heterogeneous Boosting, and
Selective Na{\"i}ve Bayes},
booktitle = {Proceedings of KDD-Cup 2009 competition},
pages = {57--64},
month = jun,
year = 2009,
volume = 7,
series = {{JMLR} Workshop and Conference Proceedings},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wskdd09cup.pdf},
note = {Third-place winner report of {KDD Cup} 2009 slow
track},
keyword = {kdd}
}
@phdthesis{HL2008b,
author = {Hsuan-Tien Lin},
title = {From Ordinal Ranking to Binary Classification},
school = {California Institute of Technology},
year = 2008,
month = jun,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/phdthesis.pdf},
keyword = {ranking}
}
@article{HL2008a,
author = {Hsuan-Tien Lin and Ling Li},
title = {Support Vector Machinery for Infinite Ensemble
Learning},
journal = {Journal of Machine Learning Research},
year = 2008,
month = feb,
volume = 9,
number = 2,
pages = {285--312},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/infkernel.pdf},
preliminary = {Some preliminary parts appeared in ECML '05 and
ICONIP '05.},
keyword = {kernel}
}
@article{HL2007,
author = {Hsuan-Tien Lin and Chih-Jen Lin and Ruby C. Weng},
title = {A Note on {Platt's} Probabilistic Outputs for Support
Vector Machines},
journal = {Machine Learning},
volume = 68,
number = 3,
month = aug,
year = 2007,
pages = {267--276},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/plattprob.pdf},
keyword = {kernel}
}
@inproceedings{LL2007,
author = {Ling Li and Hsuan-Tien Lin},
title = {Optimizing 0/1~Loss for Perceptrons by Random
Coordinate Descent},
booktitle = {Proceedings of the 2007 International Joint
Conference on Neural Networks (IJCNN)},
pages = {749--754},
month = aug,
year = 2007,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/ijcnn07rcd.pdf},
keyword = {other}
}
@inproceedings{LL2006,
author = {Ling Li and Hsuan-Tien Lin},
title = {Ordinal Regression by Extended Binary
Classification},
month = dec,
year = 2006,
booktitle = {Advances in Neural Information Processing Systems :
Proceedings of the 2006 Conference (NeurIPS)},
pages = {865--872},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/nips06reduction.pdf},
keyword = {ranking}
}
@inproceedings{HL2006,
author = {Hsuan-Tien Lin and Ling Li},
title = {Large-Margin Thresholded Ensembles for Ordinal
Regression: Theory and Practice},
month = oct,
year = 2006,
booktitle = {Algorithmic Learning Theory (ALT)},
volume = 4264,
series = {Lecture Notes in Artificial Intelligence},
pages = {319--333},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/alt06orboost.pdf},
keyword = {ranking}
}
@inproceedings{HL2005d,
author = {Hsuan-Tien Lin and Ling Li},
title = {Novel Distance-Based {SVM} Kernels for Infinite
Ensemble Learning},
year = 2005,
month = nov,
booktitle = {Proceedings of the 12th International Conference on
Neural Information Processing (ICONIP)},
pages = {761--766},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/iconip05kernels.pdf},
keyword = {kernel}
}
@inproceedings{HL2005c,
author = {Hsuan-Tien Lin and Ling Li},
title = {Analysis of {SAGE} Results with Combined Learning
Techniques},
booktitle = {Proceedings of the {ECML/PKDD} 2005 Discovery
Challenge},
pages = {102--113},
year = 2005,
month = nov,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsecmlpkdd05sage.pdf},
keyword = {kdd}
}
@inproceedings{LL2005,
author = {Ling Li and Amrit Pratap and Hsuan-Tien Lin and Yaser
S. Abu-Mostafa},
title = {Improving Generalization by Data Categorization},
booktitle = {Knowledge Discovery in Databases (PKDD)},
year = 2005,
month = nov,
volume = 3721,
series = {Lecture Notes in Computer Science},
pages = {157--168},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/pkdd05fingerprint.pdf},
keyword = {other}
}
@inproceedings{HL2005b,
author = {Hsuan-Tien Lin and Ling Li},
title = {Infinite Ensemble Learning with Support Vector
Machines},
booktitle = {Machine Learning: Proceedings of the 16th European
Conference on Machine Learning (ECML)},
volume = 3720,
series = {Lecture Notes in Computer Science},
pages = {242--254},
month = oct,
year = 2005,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/ecml05stump.pdf},
keyword = {kernel}
}
@mastersthesis{HL2005a,
author = {Hsuan-Tien Lin},
title = {Infinite Ensemble Learning with Support Vector
Machines},
school = {California Institute of Technology},
year = 2005,
month = jun,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/msthesis.pdf},
keyword = {kernel}
}
@techreport{HL2003,
author = {Hsuan-Tien Lin and Chih-Jen Lin},
title = {A Study on Sigmoid Kernels for {SVM} and the
Training of non-{PSD} Kernels by {SMO}-type methods},
institution = {National Taiwan University},
month = mar,
year = 2003,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/tanh.pdf},
keyword = {kernel}
}
@article{SL2002,
author = {Shuo-Peng Liao and Hsuan-Tien Lin and Chih-Jen Lin},
title = {A Note on the Decomposition Methods for Support
Vector Regression},
journal = {Neural Computation},
year = 2002,
volume = 14,
number = 6,
month = jun,
pages = {1267--1281},
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/svr2and4.pdf},
preliminary = {A preliminary version appeared in IJCNN '01.},
keyword = {kernel}
}
@inproceedings{SL2001,
author = {Shuo-Peng Liao and Hsuan-Tien Lin and Chih-Jen Lin},
title = {A Note on the Decomposition Methods for Support
Vector Regression},
booktitle = {Proceedings of the 2001 International Joint
Conference on Neural Networks (IJCNN)},
pages = {1474--1479},
year = 2001,
month = jul,
pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/ijcnn01svr2and4.pdf},
keyword = {kernel}
}
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