Yuan Jiang

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Multi-Label Learning from Crowds.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

What Makes Objects Similar: A Unified Multi-Metric Learning Approach.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Fast generalization rates for distance metric learning.

[BibT_eX]

[DOI]

Han-Jia Ye

Mach. Learn., 2019

Expert-Level Atari Imitation Learning from Demonstrations Only.

[BibT_eX]

[DOI]

CoRR, 2019

Learning from Incomplete and Inaccurate Supervision.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Comprehensive Semi-Supervised Multi-Modal Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Deep Robust Unsupervised Multi-Modal Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Multi-View Anomaly Detection: Neighborhood in Locality Matters.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Deep Multi-modal Learning with Cascade Consensus.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Multi-label Crowdsourcing Learning with Incomplete Annotations.

[BibT_eX]

[DOI]

Shao-Yuan Li

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Multi-network User Identification via Graph-Aware Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Semi-Supervised Multi-Modal Learning with Incomplete Modalities.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Rectify Heterogeneous Models with Semantic Mapping.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

DMTMV: A Unified Learning Framework for Deep Multi-task Multi-view Learning.

[BibT_eX]

[DOI]

Yi-Feng Wu

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Dual Set Multi-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Erratum to: Preference Relation-based Markov Random Fields for Recommender Systems.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Preference Relation-based Markov Random Fields for Recommender Systems.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Multi-View Matrix Completion for Clustering with Side Information.

[BibT_eX]

[DOI]

Peng Zhao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Multimodal Linear Discriminant Analysis via Structural Sparsity.

[BibT_eX]

[DOI]

Yu Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Modal Consistency based Pre-Trained Multi-Model Reuse.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Instance Specific Discriminative Modal Pursuit: A Serialized Approach.

[BibT_eX]

[DOI]

Proceedings of The 9th Asian Conference on Machine Learning, 2017

Deep Learning for Fixed Model Reuse.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

What Makes Objects Similar: A Unified Multi-Metric Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning by Actively Querying Strong Modal Features.

[BibT_eX]

[DOI]

Yang Yang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

College Student Scholarships and Subsidies Granting: A Multi-modal Multi-label Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Learning Feature Aware Metric.

[BibT_eX]

[DOI]

Proceedings of The 8th Asian Conference on Machine Learning, 2016

Instance Specific Metric Subspace Learning: A Bayesian Approach.

[BibT_eX]

[DOI]

Han-Jia Ye

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Pairwised Specific Distance Learning from Physical Linkages.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2015

Multi-Label Active Learning from Crowds.

[BibT_eX]

[DOI]

Shao-Yuan Li

CoRR, 2015

Multi-label Selective Ensemble.

[BibT_eX]

[DOI]

Nan Li

Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

Auxiliary Information Regularized Machine for Multiple Modality Feature Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Learning with Augmented Multi-Instance View.

[BibT_eX]

[DOI]

Proceedings of the Sixth Asian Conference on Machine Learning, 2014

Partial Multi-View Clustering.

[BibT_eX]

[DOI]

Shao-Yuan Li

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Multi-Instance Multi-Label Learning with Weak Label.

[BibT_eX]

[DOI]

Shu-Jun Yang

Proceedings of the IJCAI 2013, 2013

2012

Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval.

[BibT_eX]

[DOI]

BMC Bioinform., 2012

Semi-supervised multi-instance multi-label learning for video annotation task.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Disagreement-Based Multi-system Tracking.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012

Towards Discovering What Patterns Trigger What Labels.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Spectral Clustering on Multiple Manifolds.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

Software Defect Detection with Rocus.

[BibT_eX]

[DOI]

Ming Li

J. Comput. Sci. Technol., 2011

Ensemble approach based on conditional random field for multi-label image and video annotation.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Local and Structural Consistency for Multi-Manifold Clustering.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

Localized K-Flats.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Multi-manifold Clustering.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

2009

Mining extremely small data sets with application to software reuse.

[BibT_eX]

[DOI]

Ming Li

Softw. Pract. Exp., 2009

Budget Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Least Square Incremental Linear Discriminant Analysis.

[BibT_eX]

[DOI]

Li-Ping Liu

Proceedings of the ICDM 2009, 2009

2008

TEFE: A Time-Efficient Approach to Feature Extraction.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2006

Generation of Comprehensible Hypotheses from Gene Expression Data.

[BibT_eX]

[DOI]

Ming Li

Proceedings of the Data Mining for Biomedical Applications, PAKDD 2006 Workshop, 2006

2005

Dependency Bagging.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2005

Locating Regions of Interest in CBIR with Multi-instance Learning Techniques.

[BibT_eX]

[DOI]

Xiao-Bing Xue

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004

NeC4.5: Neural Ensemble Based C4.5.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2004

SOM Ensemble-Based Image Segmentation.

[BibT_eX]

[DOI]

Neural Process. Lett., 2004

Editing Training Data for kNN Classifiers with Neural Network Ensemble.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks, 2004

Exploiting Unlabeled Data in Content-Based Image Retrieval.

[BibT_eX]

[DOI]

Ke-Jia Chen

Proceedings of the Machine Learning: ECML 2004, 2004

2003

Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Technol. Biomed., 2003

Extracting symbolic rules from trained neural network ensembles.

[BibT_eX]

[DOI]

Shifu Chen

AI Commun., 2003

SOM Based Image Segmentation.

[BibT_eX]

[DOI]

Kejia Chen

Proceedings of the Rough Sets, 2003

2002

Lung cancer cell identification based on artificial neural network ensembles.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2002

The Application of Visualization and Neural Network Techniques in a Power Transformer Condition Monitoring System.

[BibT_eX]

[DOI]

Proceedings of the Developments in Applied Artificial Intelligence, 2002

2001

Genetic Algorithm based Selective Neural Network Ensemble.

[BibT_eX]

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000

A general neural framework for classification rule mining.

[BibT_eX]

[DOI]