研究成果


第 1 到 94 筆結果，共 94 筆。

公開日期標題作者來源出版物scopusWOS全文
12023Learning key steps to attack deep reinforcement learning agentsYu, Chien Min; Chen, Ming Hsin; HSUAN-TIEN LIN Machine Learning11
22023Reduction from Complementary-Label Learning to Probability EstimatesLin, Wei I.; HSUAN-TIEN LIN Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)10
32022Improving Clustering Uncertainty-weighted Embeddings for Active Domain AdaptationWu, Sheng Feng; HSUAN-TIEN LIN Proceedings - 2022 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 202200
42022Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNNChen, Si An; Liu, Jie Jyun; Yang, Tsung Han; HSUAN-TIEN LIN ; CHIH-JEN LIN NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference1
52021360-Degree Gaze Estimation in the Wild Using Multiple Zoom ScalesAshesh; CHU-SONG CHEN ; HSUAN-TIEN LIN 32nd British Machine Vision Conference, BMVC 2021
62021On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale CompetitionBai C.-Y; Raffel C; Kan W.C.-W.; HSUAN-TIEN LIN Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining50
72021Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and?Attention-Based Deep ModelsBai C.-Y; Chen B.-F; Lin H.-T.; HSUAN-TIEN LIN Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)40
82021A Unified View of cGANs with and without ClassifiersChen S.-A; Li C.-L; HSUAN-TIEN LIN Advances in Neural Information Processing Systems2
92020Learning from Label Proportions with Consistency RegularizationTsai, Kuen Han; HSUAN-TIEN LIN Proceedings of Machine Learning Research9
102020Cost-Sensitive Deep Learning with Layer-Wise Cost EstimationChung Y.-A; Yang S.-W; HSUAN-TIEN LIN Proceedings - 25th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 202000
112020Cost Learning Network for Imbalanced ClassificationTu C.-Y; HSUAN-TIEN LIN Proceedings - 25th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 202000
122020Active deep Q-learning with demonstrationChen, S.-A.; Tangkaratt, V.; Lin, H.-T.; Sugiyama, M.; HSUAN-TIEN LIN Machine Learning813
132020Cold-start active learning through self-supervised language modelingYuan M; HSUAN-TIEN LIN ; Boyd-Graber J.EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference56
142020Improving unsupervised domain adaptation with representative selection techniquesChen, I.-T.; Lin, H.-T.; HSUAN-TIEN LIN CEUR Workshop Proceedings1
152020SERIL: Noise adaptive speech enhancement using regularization-based incremental learningLee C.-C; Lin Y.-C; Wang H.-M; Tsao Y.; HSUAN-TIEN LIN Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH50
162020Unbiased risk estimators can mislead: A case study of learning with complementary labelsChou Y.-T; Niu G; Lin H.-T; Sugiyama M.; HSUAN-TIEN LIN 37th International Conference on Machine Learning, ICML 202022
172019Advances in cost-sensitive multiclass and multilabel classificationHSUAN-TIEN LIN Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining10
182019Attention-based deep tropical cyclone rapid intensification predictionBai, C.-Y.; Chen, B.-F.; Lin, H.-T.; HSUAN-TIEN LIN CEUR Workshop Proceedings0
192019A data-driven probabilistic rainfall-inundation model for flash-flood warningsPan, T.-Y. ; Lin, H.-T. ; Liao, H.-Y.Water (Switzerland)96
202019Estimating Tropical Cyclone Intensity by Satellite Imagery Utilizing Convolutional Neural NetworksChen, Buo-Fu; Chen, Boyo; Lin, Hsuan-Tien; Elsberry, Russell L.; HSUAN-TIEN LIN Weather and Forecasting6456
212019Deep Learning with a Rethinking Structure for Multi-label Classification.Yang, Yao-Yuan; Lin, Yi-An; Chu, Hong-Min; Lin, Hsuan-Tien; HSUAN-TIEN LIN Proceedings of The 11th Asian Conference on Machine Learning, ACML 2019, 17-19 November 2019, Nagoya, Japan.
222019Dynamic principal projection for cost-sensitive online multi-label classificationChu, H.-M.; Huang, K.-H.; Lin, H.-T.; HSUAN-TIEN LIN Machine Learning56
232019Annotation cost-sensitive active learning by tree samplingTsou, Y.-L.; Lin, H.-T.; HSUAN-TIEN LIN Machine Learning107
242018Compatibility family learning for item recommendation and generationShih Y.-S; Chang K.-Y; Lin H.-T; Sun M.; HSUAN-TIEN LIN 32nd AAAI Conference on Artificial Intelligence, AAAI 201831
252018Refuel: Exploring sparse features in deep reinforcement learning for fast disease diagnosisPeng Y.-S; Tang K.-F; Chang E.Y; Lin H.-T.; HSUAN-TIEN LIN Advances in Neural Information Processing Systems27
262018Cyclic classifier chain for cost-Sensitive multilabel classificationLin, Y.-A.; HSUAN-TIEN LIN Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 201700
272018Cost-Sensitive Encoding for Label Space Dimension Reduction Algorithms on Multi-label ClassificationLo, K.-H.; HSUAN-TIEN LIN Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 201720
282018Cost-Sensitive Reference Pair Encoding for Multi-Label Learning.Yang, Yao-Yuan; Huang, Kuan-Hao; Chang, Chih-Wei; HSUAN-TIEN LIN Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I20
292018Automatic Bridge Bidding Using Deep Reinforcement LearningYeh, C.; Hsieh, C.; HSUAN-TIEN LIN Journal of Lightwave Technology149
302018Multi-Label Classification with Feature-Aware Cost-Sensitive Label EmbeddingChiu, H.-C.; HSUAN-TIEN LIN Proceedings - 2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 201800
312018A deep model with local surrogate loss for general cost-sensitive multi-label learningHsieh C.-Y; Lin Y.-A; Lin H.-T.; HSUAN-TIEN LIN 32nd AAAI Conference on Artificial Intelligence, AAAI 201813
322018Rotation-blended CNNs on a new open dataset for tropical cyclone image-to-intensity regressionChen, B.; Chen, B.-F.; HSUAN-TIEN LIN Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining440
332017Cost-sensitive label embedding for multi-label classificationKuan-Hao Huang; Hsuan-Tien Lin; HSUAN-TIEN LIN Machine Learning5545
342017Can active learning experience be transferred?Chu, H.-M.; Lin, H.-T.; HSUAN-TIEN LIN Proceedings - IEEE International Conference on Data Mining, ICDM190
352017Progressive random k-labelsets for cost-sensitive multi-label classificationWu, Y.-P.; Lin, H.-T.; HSUAN-TIEN LIN Machine Learning1714
362017A novel uncertainty sampling algorithm for cost-sensitive multiclass active learningHuang, K.-H.; Lin, H.-T.; HSUAN-TIEN LIN Proceedings - IEEE International Conference on Data Mining, ICDM120
372016Can Active Learning Experience Be Transferred?Chu, Hong-Min; Lin, Hsuan-Tien; HSUAN-TIEN LIN IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain00
382016A practical divide-and-conquer approach for preference-based learning to rankYang, H.-J.; HSUAN-TIEN LIN TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence10
392016A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning.Huang, Kuan-Hao; Lin, Hsuan-Tien; HSUAN-TIEN LIN IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain00
402016A Simple Unlearning Framework for Online Learning Under Concept Drifts.You, Sheng-Chi; Lin, Hsuan-Tien; HSUAN-TIEN LIN Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I20
412016Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards.Huang, Kuan-Hao; HSUAN-TIEN LIN Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II30
422016Automatic Bridge bidding using deep reinforcement learningYeh, C.-K.; HSUAN-TIEN LIN Frontiers in Artificial Intelligence and Applications70
432015Active learning by learningHsu, W.-N.; Lin, H.-T.; HSUAN-TIEN LIN National Conference on Artificial Intelligence
442015Active learning using hint informationLi, C.-L.; Ferng, C.-S.; Lin, H.-T.; HSUAN-TIEN LIN Neural Computation148
452015Active learning by learningHsu W.-N; HSUAN-TIEN LIN Proceedings of the National Conference on Artificial Intelligence77
462015Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013HSUAN-TIEN LIN Journal of Machine Learning Research
472015Effective string processing and matching for author disambiguationHSUAN-TIEN LIN Journal of Machine Learning Research
482014Boosting with online binary learners for the multiclass bandit problemChen, S.-T.; Lin, H.-T.; Lu, C.-J.; HSUAN-TIEN LIN 31st International Conference on Machine Learning, ICML 2014
492014Machine learning approaches for interactive verificationChou, Y.-C.; Lin, H.-T.; HSUAN-TIEN LIN Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)00
502014Machine Learning Approaches for Interactive Verification.Chou, Yu-Cheng; Lin, Hsuan-Tien; HSUAN-TIEN LIN Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II00
512014Condensed filter tree for cost-sensitive multi-label classificationLi, C.-L.; Lin, H.-T.; HSUAN-TIEN LIN 31st International Conference on Machine Learning
522013Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013Li, Chun Liang; Su, Yu Chuan; Lin, Ting Wei; Tsai, Cheng Hao; Chang, Wei Cheng; Huang, Kuan Hao; Kuo, Tzu Ming; Lin, Shan Wei; Lin, Young San; Lu, Yu Chen; Yang, Chun Pai; Chang, Cheng Xia; Chin, Wei Sheng; Juan, Yu Chin; Tung, Hsiao Yu; Wang, Jui Pin; Wei, Cheng Kuang; Wu, Felix; Yin, Tu Chun; Yu, Tong; Zhuang, Yong; SHOU-DE LIN ; HSUAN-TIEN LIN ; CHIH-JEN LIN Proceedings of the 2013 KDD Cup 2013 Workshop90
532013Effective string processing and matching for author disambiguationChin, Wei Sheng; Juan, Yu Chin; Zhuang, Yong; Wu, Felix; Tung, Hsiao Yu; Yu, Tong; Wang, Jui Pin; Chang, Cheng Xia; Yang, Chun Pai; Chang, Wei Cheng; Huang, Kuan Hao; Kuo, Tzu Ming; Lin, Shan Wei; Lin, Young San; Lu, Yu Chen; Su, Yu Chuan; Wei, Cheng Kuang; Yin, Tu Chun; Li, Chun Liang; Lin, Ting Wei; Tsai, Cheng Hao; SHOU-DE LIN ; HSUAN-TIEN LIN ; CHIH-JEN LIN Proceedings of the 2013 KDD Cup 2013 Workshop80
542013Pairwise regression with upper confidence bound for contextual bandit with multiple actionsChang, Y.-H.; HSUAN-TIEN LIN 2013 Conference on Technologies and Applications of Artificial Intelligence00
552013Improving ranking performance with cost-sensitive ordinal classification via regressionRuan, Yu-Xun; Lin, Hsuan-Tien; Tsai, Ming-Feng; HSUAN-TIEN LIN Information Retrieval139
562013Multilabel classification using error-correcting codes of hard or soft bitsFerng, C.-S.; Lin, H.-T.; HSUAN-TIEN LIN IEEE Transactions on Neural Networks and Learning Systems1312
572013Data Selection Techniques for Large-Scale Rank SVM.Lin, Ken-Yi; Jan, Te-Kang; HSUAN-TIEN LIN Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan, December 6-8, 201320
582013Effective string processing and matching for author disambiguation.Chin, Wei-Sheng et al.; Juan, Yu-Chin; Zhuang, Yong; Wu, Felix; Tung, Hsiao-Yu; Yu, Tong; Wang, Jui-Pin; Chang, Cheng-Xia; Yang, Chun-Pai; Chang, Wei-Cheng; Huang, Kuan-Hao; Kuo, Tzu-Ming; Lin, Shan-Wei; Lin, Young-San; Lu, Yu-Chen; Su, Yu-Chuan; Wei, Cheng-Kuang; Yin, Tu-Chun; Li, Chun-Liang; Lin, Ting-Wei; Tsai, Cheng-Hao; Lin, Shou-De ; Lin, Hsuan-Tien ; CHIH-JEN LIN Proceedings of the 2013 KDD Cup 2013 Workshop, KDD Cup 2013, Chicago, Illinois, USA, August 11-14, 201380
592013Active Learning for Multiclass Cost-Sensitive Classification Using Probabilistic Models.Chen, Po-Lung; HSUAN-TIEN LIN Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan, December 6-8, 201390
602013Active sampling of pairs and points for large-scale linear bipartite rankingShen, W.-Y.; Lin, H.-T.; HSUAN-TIEN LIN Journal of Machine Learning Research
612012Active learning with hinted support vector machineLi, C.-L.; Ferng, C.-S.; Lin, H.-T.; HSUAN-TIEN LIN Journal of Machine Learning Research
622012A simple methodology for soft cost-sensitive classificationJan, Te-Kang; Wang, Da-Wei; Lin, Chi-Hung; HSUAN-TIEN LIN 150
632012Multilabel classification with principal label space transformationTai, F.; Lin, H.-T.; HSUAN-TIEN LIN Neural Computation239192
642012Balancing between Estimated Reward and Uncertainty during News Article Recommendation for ICML 2012 Exploration and Exploitation ChallengeChou, Ku-Chun; Lin, Hsuan-Tien ICML 
652012Learning from Data: A Short CourseAbu-Mostafa, Yaser S.; Magdon-Ismail, Malik; Lin, Hsuan-Tien 
662012An Online Boosting Algorithm with Theoretical JustificationsChen, Shang-Tse; Lin, Hsuan-Tien ; Lu, Chi-Jen29th International Conference on Machine Learning
672012Feature-aware Label Space Dimension Reduction for Multi-label ClassificationChen, Yao-Nan; Lin, Hsuan-Tien Advances in Neural Information Processing Systems
682012Reduction from cost-sensitive ordinal ranking to weighted binary classificationLi, Ling; Lin, Hsuan-Tien Neural Computation9176
692012Teaching Machine Learning to a Diverse Audience: the Foundation-based ApproachLin, Hsuan-Tien ; Magdon-Ismail, Malik; Abu-Mostafa, Yaser S.ICML
702012Active Learning with Hinted Support Vector MachineLi, Chun-Liang; Ferng, Chun-Sung; Lin, Hsuan-Tien ACML 
712012A Two-Stage Ensemble of Diverse Models for Advertisement Ranking in KDD Cup 2012Wu, Kuan-Wei; Lin, Shou-De ; Lin, Hsuan-Tien et al. KDDCup
722011A Linear Ensemble of Individual and Blended Models for Music Rating PredictionChen, Po-Lung; Lin, Hsuan-Tien ; Lin, Chih-Jen ; Lin, Shou-De et al. KDD Cup
732011Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music RecommendationMcKenzie, Todd G.; Lin, Hsuan-Tien ; Lin, Chih-Jen ; Lin, Shou-De et al. KDD Cup
742011Multi-label Classification with Error-correcting CodesFerng, Chun-Sung; Lin, Hsuan-Tien ACML '11
752011Multi-label Active Learning with Auxiliary LearnerHung, Chen-Wei; Lin, Hsuan-Tien ACML '11
762011Multi-label classification with error-correcting codesFerng, C.-S.; Lin, H.-T.; HSUAN-TIEN LIN Journal of Machine Learning Research 
772011Cost-Sensitive Classification on Pathogen Species of Bacterial Meningitis by Surface Enhanced Raman Scattering.Jan, Te-Kang; Lin, Hsuan-Tien; Chen, Hsin-Pai; Chern, Tsung-Chen; Huang, Chung-Yueh; Wen, Bing-Cheng; Chung, Chia-Wen; Li, Yung-Jui; Chuang, Ya-Ching; Li, Li-Li; Chan, Yu-Jiun; Wang, Juen-Kai; Wang, Yuh-Lin; Lin, Chi-Hung; HSUAN-TIEN LIN ; Wang, Juen-Kai IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011, Atlanta, GA, USA, November 12-15, , 201140
782011Unsupervised auxiliary visual words discovery for large-scale image object retrievalKuo, Yin-Hsi; HSUAN-TIEN LIN ; WEN-HUANG CHENG ; YI-HSUAN YANG ; WINSTON HSU IEEE Computer Society Conference on Computer Vision and Pattern Recognition180
792011Multi-label active learning with auxiliary learnerHung, C.-W.; Lin, H.-T.; HSUAN-TIEN LIN Journal of Machine Learning Research 
802010An Ensemble Ranking Solution to the Yahoo! Learning to Rank ChallengeTsai, Ming-Feng; Chen, Shang-Tse; Chen, Yao-Nan; Ferng, Chun-Sung; Wang, Chia-Hsuan; Wen, Tzay-Yeu; Lin, Hsuan-Tien Workshop on the Yahoo! Learning to Rank Challenge at ICML '10 
812010Feature Engineering and Classifier Ensemble for KDD Cup 2010Yu, Hsiang-Fu; Lo, Yi-Chen ; Lin, Shou-de ; Lin, Hsuan-Tien ; Lin, Chih-Jen et al. KDDCup
822010Cost-sensitive Classification: Status and BeyondLin, Hsuan-Tien Workshop on Machine Learning Research in Taiwan: Challenges and Directions at TAAI 
832010Multi-label Classification with Principle Label Space TransformationTai, Farbound; Lin, Hsuan-Tien ICML '10 
842010One-sided Support Vector Regression for Multiclass Cost-sensitive ClassificationTu, Han-Hsing; Lin, Hsuan-Tien 27th International Conference on Machine Learning
852009Combining Ordinal Preferences by BoostingLin, Hsuan-Tien ; Li, LingPreference Learning Workshop at ECML/PKDD '09 
862008Support Vector Machinery for Infinite Ensemble LearningLin, Hsuan-Tien ; Li, LingJournal of Machine Learning Research
872007A note on Platt's probabilistic outputs for support vector machinesLin, Hsuan-Tien ; Lin, Chih-Jen ; Weng, Ruby C.Machine Learning618
882007Optimizing 0/1 loss for perceptrons by random coordinate descentLi, L.; HSUAN-TIEN LIN IEEE International Conference on Neural Networks90
892007Ordinal regression by extended binary classificationLi, L.; Lin, H.-T.; HSUAN-TIEN LIN Advances in Neural Information Processing Systems
902006Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice.Lin, Hsuan-Tien; Li, Ling; HSUAN-TIEN LIN Algorithmic Learning Theory, 17th International Conference, ALT 2006, Barcelona, Spain, October 7-10, 2006, Proceedings340
912005a study on sigmoid kernels for svm and the training of non-psdLin, Hsuan-Tien ; Lin, Chih-Jen 
922005Improving Generalization by Data Categorization.Li, Ling; Pratap, Amrit; Lin, Hsuan-Tien; Abu-Mostafa, Yaser S.; HSUAN-TIEN LIN Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings140
932002A note on the decomposition methods for support vector regressionLiao, Shuo-Peng; Lin, Hsuan-Tien; Lin, Chih-JenLiao, S.-P.; Lin, H.-T.; Lin, C.-J.; HSUAN-TIEN LIN ; CHIH-JEN LIN Neural Computation2018
942001A note on the decomposition methods for support vector regressionLiao, Shuo-Peng; Lin, Hsuan-Tien ; Lin, Chih-Jen International Joint Conference on Neural Networks00