Hsuan-Tien Lin

发表

Condensed Filter Tree for Cost-Sensitive Multi-Label Classification

Chun-Liang Li, Hsuan-Tien Lin, Hsuan-Tien Lin, 2014, ICML.

Attention-based Deep Tropical Cyclone Rapid Intensification Prediction pdf

Hsuan-Tien Lin, Ching-Yuan Bai, Buo-Fu Chen, 2019, MACLEAN@PKDD/ECML.

Effective string processing and matching for author disambiguation

Shou-De Lin, Chun-Liang Li, Hsuan-Tien Lin, 2013, KDD Cup '13.

An Online Boosting Algorithm with Theoretical Justifications

Hsuan-Tien Lin, Chi-Jen Lu, Shang-Tse Chen, 2012, ICML.

Cost-Sensitive Reference Pair Encoding for Multi-Label Learning

Chih-Wei Chang, Hsuan-Tien Lin, Kuan-Hao Huang, 2016, PAKDD.

Active Learning Using Hint Information

Chun-Liang Li, Hsuan-Tien Lin, Chun-Sung Ferng, 2015, Neural Computation.

One-sided Support Vector Regression for Multiclass Cost-sensitive Classification

Hsuan-Tien Lin, Han-Hsing Tu, Hsuan-Tien Lin, 2010, ICML.

A Data-Driven Probabilistic Rainfall-Inundation Model for Flash-Flood Warnings

Hsuan-Tien Lin, Tsung-Yi Pan, Hao-Yu Liao, 2019 .

A Note on the Decomposition Methods for Support Vector Regression

Hsuan-Tien Lin, Chih-Jen Lin, Shuo-Peng Liao, 2001, Neural Computation.

Active Learning by Learning

Hsuan-Tien Lin, Wei-Ning Hsu, Hsuan-Tien Lin, 2015, AAAI.

SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning

Yu Tsao, Hsuan-Tien Lin, Hsin-Min Wang, 2020, INTERSPEECH.

Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA pdf

Chun-Liang Li, Hsuan-Tien Lin, Chi-Jen Lu, 2015, AISTATS.

Cost-Sensitive Classification on Pathogen Species of Bacterial Meningitis by Surface Enhanced Raman Scattering

Hsuan-Tien Lin, Da-Wei Wang, Chi-Hung Lin, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

Combining Ordinal Preferences by Boosting

Hsuan-Tien Lin, Ling Li, 2009 .

Soft Methodology for Cost-and-error Sensitive Classification pdf

Hsuan-Tien Lin, Da-Wei Wang, Chi-Hung Lin, 2017, ArXiv.

Unsupervised Semantic Feature Discovery for Image Object Retrieval and Tag Refinement

Hsuan-Tien Lin, Wen-Huang Cheng, Winston H. Hsu, 2012, IEEE Transactions on Multimedia.

Improving ranking performance with cost-sensitive ordinal classification via regression

Hsuan-Tien Lin, Ming-Feng Tsai, Yu-Xun Ruan, 2013, Information Retrieval.

Learning From Data

Hsuan-Tien Lin, Malik Magdon-Ismail, Yaser S. Abu-Mostafa, 2012 .

Improving Generalization by Data Categorization

Hsuan-Tien Lin, Ling Li, Yaser S. Abu-Mostafa, 2005, PKDD.

Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels

Gang Niu, Hsuan-Tien Lin, Masashi Sugiyama, 2020, ICML.

Ordinal Regression by Extended Binary Classification

Ling Li, Hsuan-Tien Lin, Hsuan-Tien Lin, 2006, NIPS.

libact: Pool-based Active Learning in Python pdf

Hsuan-Tien Lin, Yao-Yuan Yang, Yu-An Chung, 2017, ArXiv.

A Linear Ensemble of Individual and Blended Models for Music Rating Prediction

Shou-De Lin, Chun-Liang Li, Hsuan-Tien Lin, 2012, KDD Cup.

Automatic Bridge Bidding Using Deep Reinforcement Learning

Hsuan-Tien Lin, Chih-Kuan Yeh, Cheng-Yu Hsieh, 2016, IEEE Transactions on Games.

Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013

Shou-De Lin, Chun-Liang Li, Hsuan-Tien Lin, 2013, KDD Cup '13.

Cost-Sensitive Deep Learning with Layer-Wise Cost Estimation pdf

Hsuan-Tien Lin, Yu-An Chung, Hsuan-Tien Lin, 2016, 2020 International Conference on Technologies and Applications of Artificial Intelligence (TAAI).

Balancing between Estimated Reward and Uncertainty during News Article Recommendation for ICML 2012 Exploration and Exploitation Challenge

Hsuan-Tien Lin, Ku-Chun Chou, 2012 .

Machine Learning Approaches for Interactive Verification

Hsuan-Tien Lin, Yu-Cheng Chou, 2014, PAKDD.

Pairwise Regression with Upper Confidence Bound for Contextual Bandit with Multiple Actions

Hsuan-Tien Lin, Ya-Hsuan Chang, Hsuan-Tien Lin, 2013, 2013 Conference on Technologies and Applications of Artificial Intelligence.

Can Active Learning Experience Be Transferred?

Hsuan-Tien Lin, Hong-Min Chu, Hsuan-Tien Lin, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Unsupervised auxiliary visual words discovery for large-scale image object retrieval

Yi-Hsuan Yang, Hsuan-Tien Lin, Wen-Huang Cheng, 2011, CVPR 2011.

Active Learning for Multiclass Cost-Sensitive Classification Using Probabilistic Models

Hsuan-Tien Lin, Po-Lung Chen, Hsuan-Tien Lin, 2013, 2013 Conference on Technologies and Applications of Artificial Intelligence.

Cost-Sensitive Random Pair Encoding for Multi-Label Classification pdf

Chih-Wei Chang, Hsuan-Tien Lin, Yao-Yuan Yang, 2016, ArXiv.

Learning from Label Proportions with Consistency Regularization

Hsuan-Tien Lin, Kuen-Han Tsai, Hsuan-Tien Lin, 2019, ACML.

A Simple Unlearning Framework for Online Learning Under Concept Drifts

Hsuan-Tien Lin, Sheng-Chi You, Hsuan-Tien Lin, 2016, PAKDD.

360-Degree Gaze Estimation in the Wild Using Multiple Zoom Scales pdf

Hsuan-Tien Lin, Ashesh Mishra, Hsuan-Tien Lin, 2020, ArXiv.

REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis

Edward Y. Chang, Hsuan-Tien Lin, Kai-Fu Tang, 2018, NeurIPS.

An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes

Shou-De Lin, Hsuan-Tien Lin, Chih-Jen Lin, 2009, KDD Cup.

Cold-start Active Learning through Self-Supervised Language Modeling pdf

Hsuan-Tien Lin, Jordan Boyd-Graber, Jordan L. Boyd-Graber, 2020, EMNLP.

Reduction from Cost-Sensitive Multiclass Classification to One-versus-One Binary Classification

Hsuan-Tien Lin, 2014, ACML.

Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions

Hsuan-Tien Lin, Chi-Jen Lu, Chao-Kai Chiang, 2014, ACML.

Multilabel Classification with Principal Label Space Transformation

Hsuan-Tien Lin, Farbound Tai, Hsuan-Tien Lin, 2012, Neural Computation.

Feature-aware Label Space Dimension Reduction for Multi-label Classification

Hsuan-Tien Lin, Yao-Nan Chen, Hsuan-Tien Lin, 2012, NIPS.

Budgeted Interactive Learning

Hsuan-Tien Lin, Hsuan-Tien Lin, 2017 .

Cost-Sensitive Encoding for Label Space Dimension Reduction Algorithms on Multi-label Classification

Hsuan-Tien Lin, Kuo-Hsuan Lo, Hsuan-Tien Lin, 2017, 2017 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

Progressive random k-labelsets for cost-sensitive multi-label classification

Hsuan-Tien Lin, Yuping Wu, Hsuan-Tien Lin, 2017, Machine Learning.

Support Vector Machinery for Infinite Ensemble Learning

Ling Li, Hsuan-Tien Lin, 2008, J. Mach. Learn. Res..

Improving Unsupervised Domain Adaptation with Representative Selection Techniques

Hsuan-Tien Lin, I-Ting Chen, Hsuan-Tien Lin, 2020, IAL@PKDD/ECML.

Cost-sensitive label embedding for multi-label classification

Hsuan-Tien Lin, Kuan-Hao Huang, Hsuan-Tien Lin, 2017, Machine Learning.

Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice

Ling Li, Hsuan-Tien Lin, Hsuan-Tien Lin, 2006, ALT.

Learning Key Steps to Attack Deep Reinforcement Learning Agents

Hsuan-Tien Lin, Chien-Min Yu, Hsuan-Tien Lin, 2019 .

Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and Attention-Based Deep Models

Hsuan-Tien Lin, Ching-Yuan Bai, Buo-Fu Chen, 2019, ECML/PKDD.

A Deep Model With Local Surrogate Loss for General Cost-Sensitive Multi-Label Learning

Hsuan-Tien Lin, Cheng-Yu Hsieh, Yi-An Lin, 2018, AAAI.

Multi-label Active Learning with Auxiliary Learner

Hsuan-Tien Lin, Chen-Wei Hung, Hsuan-Tien Lin, 2011, ACML.

A simple methodology for soft cost-sensitive classification

Hsuan-Tien Lin, Da-Wei Wang, Chi-Hung Lin, 2012, KDD.

A practical divide-and-conquer approach for preference-based learning to rank

Hsuan-Tien Lin, Han-Jay Yang, Hsuan-Tien Lin, 2015, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

Infinite Ensemble Learning with Support Vector Machines

Ling Li, Hsuan-Tien Lin, 2005, ECML.

Multi-label Classication with Error-correcting Codes

Hsuan-Tien Lin, Chun-Sung Ferng, Hsuan-Tien Lin, 2011 .

A note on Platt’s probabilistic outputs for support vector machines

Hsuan-Tien Lin, Chih-Jen Lin, Ruby C. Weng, 2007, Machine Learning.

Multilabel Classification Using Error-Correcting Codes of Hard or Soft Bits

Hsuan-Tien Lin, Chun-Sung Ferng, Hsuan-Tien Lin, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Compatibility Family Learning for Item Recommendation and Generation pdf

Hsuan-Tien Lin, Min Sun, Yong-Siang Shih, 2017, AAAI.

Cyclic Classifier Chain for Cost-Sensitive Multilabel Classification

Hsuan-Tien Lin, Yi-An Lin, Hsuan-Tien Lin, 2017, 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation

Shou-De Lin, Chun-Liang Li, Hsuan-Tien Lin, 2012, KDD Cup.

Active deep Q-learning with demonstration

Masashi Sugiyama, Hsuan-Tien Lin, Voot Tangkaratt, 2018, Machine Learning.

Advances in Cost-sensitive Multiclass and Multilabel Classification

Hsuan-Tien Lin, Hsuan-Tien Lin, 2019, KDD.

Annotation cost-sensitive active learning by tree sampling

Hsuan-Tien Lin, Yu-Lin Tsou, 2019, Machine Learning.

Feature Engineering and Classifier Ensemble for KDD Cup 2010

Shou-De Lin, Hsuan-Tien Lin, Chia-Hua Ho, 2010, KDD 2010.

Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration

Chun-Liang Li, Hsuan-Tien Lin, Si-An Chen, 2019, ArXiv.

Multi-Label Classification with Feature-Aware Cost-Sensitive Label Embedding

Hsuan-Tien Lin, Hsien-Chun Chiu, 2018, 2018 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards

Hsuan-Tien Lin, Kuan-Hao Huang, Hsuan-Tien Lin, 2016, PAKDD.

Contract Bridge Bidding by Learning

Hsuan-Tien Lin, Chun-Yen Ho, Hsuan-Tien Lin, 2015, AAAI Workshop: Computer Poker and Imperfect Information.

Analysis of SAGE Results with Combined Learning Techniques

Hsuan-Tien Lin, Ling Li, 2005 .

Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent

Ling Li, Hsuan-Tien Lin, 2007, 2007 International Joint Conference on Neural Networks.

Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking

Hsuan-Tien Lin, Wei-Yuan Shen, Hsuan-Tien Lin, 2013, ACML.

A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning

Hsuan-Tien Lin, Kuan-Hao Huang, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Cost-Aware Pre-Training for Multiclass Cost-Sensitive Deep Learning pdf

Hsuan-Tien Lin, Shao-Wen Yang, Yu-An Chung, 2015, IJCAI.

Dynamic principal projection for cost-sensitive online multi-label classification

Hsuan-Tien Lin, Hong-Min Chu, Kuan-Hao Huang, 2019, Machine Learning.

Pseudo-reward Algorithms for Contextual Bandits with

Hsuan-Tien Lin, Chi-Jen Lu, Chao-Kai Chiang, 2014 .

A Pseudo-Label Method for Coarse-to-Fine Multi-Label Learning with Limited Supervision

Miao Xu, Gang Niu, Masashi Sugiyama, 2019 .

Boosting with Online Binary Learners for the Multiclass Bandit Problem

Hsuan-Tien Lin, Chi-Jen Lu, Shang-Tse Chen, 2014, ICML.

Estimating Tropical Cyclone Intensity by Satellite Imagery Utilizing Convolutional Neural Networks

Hsuan-Tien Lin, Buo-Fu Chen, Russell L. Elsberry, 2019, Weather and Forecasting.

Rotation-blended CNNs on a New Open Dataset for Tropical Cyclone Image-to-intensity Regression

Hsuan-Tien Lin, Buo-Fu Chen, Boyo Chen, 2018, KDD.

Data Selection Techniques for Large-Scale Rank SVM

Hsuan-Tien Lin, Te-Kang Jan, Ken-Yi Lin, 2013, 2013 Conference on Technologies and Applications of Artificial Intelligence.

Active Learning with Hinted Support Vector Machine

Chun-Liang Li, Hsuan-Tien Lin, Chun-Sung Ferng, 2012, ACML.

Deep Learning with a Rethinking Structure for Multi-label Classification pdf

Hsuan-Tien Lin, Hong-Min Chu, Yao-Yuan Yang, 2019, ACML.

Multi-label Classification with Error-correcting Codes

Hsuan-Tien Lin, Chun-Sung Ferng, Hsuan-Tien Lin, 2011, ACML.

Reduction from Cost-Sensitive Ordinal Ranking to Weighted Binary Classification

Ling Li, Hsuan-Tien Lin, Hsuan-Tien Lin, 2012, Neural Computation.

Accurate and Clear Precipitation Nowcasting with Consecutive Attention and Rain-map Discrimination pdf

Hsuan-Tien Lin, Buo-Fu Chen, Boyo Chen, 2021, ArXiv.

On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition

Colin Raffel, Hsuan-Tien Lin, Ching-Yuan Bai, 2021, KDD.

Cost-sensitive Classification : Status and Beyond

Hsuan-Tien Lin, 2010 .

From ordinal ranking to binary classification

Hsuan-Tien Lin, Yaser S. Abu-Mostafa, Y. Abu-Mostafa, 2008 .

A Simple Cost-sensitive Multiclass Classification Algorithm Using One-versus-one Comparisons

Hsuan-Tien Lin, Hsuan-Tien Lin, 2010 .