Yuan Jiang

According to our database1, Yuan Jiang authored at least 56 papers between 2000 and 2018.

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Bibliography

2018
Deep Multi-modal Learning with Cascade Consensus.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Multi-label Crowdsourcing Learning with Incomplete Annotations.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Multi-network User Identification via Graph-Aware Embedding.
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.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Semi-Supervised Multi-Modal Learning with Incomplete Modalities.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Rectify Heterogeneous Models with Semantic Mapping.
Proceedings of the 35th International Conference on Machine Learning, 2018

Dual Set Multi-Label Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Erratum to: Preference Relation-based Markov Random Fields for Recommender Systems.
Machine Learning, 2017

Preference Relation-based Markov Random Fields for Recommender Systems.
Machine Learning, 2017

Multi-View Matrix Completion for Clustering with Side Information.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Modal Consistency based Pre-Trained Multi-Model Reuse.
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.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Instance Specific Discriminative Modal Pursuit: A Serialized Approach.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

Deep Learning for Fixed Model Reuse.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
What Makes Objects Similar: A Unified Multi-Metric Learning Approach.
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.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

College Student Scholarships and Subsidies Granting: A Multi-modal Multi-label Approach.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Learning Feature Aware Metric.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

Instance Specific Metric Subspace Learning: A Bayesian Approach.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Pairwised Specific Distance Learning from Physical Linkages.
TKDD, 2015

Multi-Label Active Learning from Crowds.
CoRR, 2015

Multi-label Selective Ensemble.
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

Auxiliary Information Regularized Machine for Multiple Modality Feature Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Preference Relation-based Markov Random Fields for Recommender Systems.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

2014
Learning with Augmented Multi-Instance View.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

Partial Multi-View Clustering.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Multi-Instance Multi-Label Learning with Weak Label.
Proceedings of the IJCAI 2013, 2013

2012
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval.
BMC Bioinformatics, 2012

Semi-supervised multi-instance multi-label learning for video annotation task.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Disagreement-Based Multi-system Tracking.
Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012

Towards Discovering What Patterns Trigger What Labels.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Software Defect Detection with Rocus.
J. Comput. Sci. Technol., 2011

Ensemble approach based on conditional random field for multi-label image and video annotation.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Local and Structural Consistency for Multi-Manifold Clustering.
Proceedings of the IJCAI 2011, 2011

Localized K-Flats.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Multi-manifold Clustering.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

2009
Mining extremely small data sets with application to software reuse.
Softw., Pract. Exper., 2009

Budget Semi-supervised Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Least Square Incremental Linear Discriminant Analysis.
Proceedings of the ICDM 2009, 2009

2008
TEFE: A Time-Efficient Approach to Feature Extraction.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2006
Generation of Comprehensible Hypotheses from Gene Expression Data.
Proceedings of the Data Mining for Biomedical Applications, PAKDD 2006 Workshop, 2006

2005
Dependency Bagging.
Proceedings of the Rough Sets, 2005

Locating Regions of Interest in CBIR with Multi-instance Learning Techniques.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004
NeC4.5: Neural Ensemble Based C4.5.
IEEE Trans. Knowl. Data Eng., 2004

SOM Ensemble-Based Image Segmentation.
Neural Processing Letters, 2004

Editing Training Data for kNN Classifiers with Neural Network Ensemble.
Proceedings of the Advances in Neural Networks, 2004

Exploiting Unlabeled Data in Content-Based Image Retrieval.
Proceedings of the Machine Learning: ECML 2004, 2004

2003
Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble.
IEEE Trans. Information Technology in Biomedicine, 2003

Extracting symbolic rules from trained neural network ensembles.
AI Commun., 2003

SOM Based Image Segmentation.
Proceedings of the Rough Sets, 2003

2002
Lung cancer cell identification based on artificial neural network ensembles.
Artificial Intelligence in Medicine, 2002

The Application of Visualization and Neural Network Techniques in a Power Transformer Condition Monitoring System.
Proceedings of the Developments in Applied Artificial Intelligence, 2002

2001
Genetic Algorithm based Selective Neural Network Ensemble.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000
A general neural framework for classification rule mining.
Int. J. Comput. Syst. Signal, 2000


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