Yuan Jiang

Affiliations:
  • Nanjing University, National Key Laboratory for Novel Software Technology, China


According to our database1, Yuan Jiang authored at least 93 papers between 2000 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2022
Anomaly Guided Policy Learning from Imperfect Demonstrations.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Semi-Supervised Multi-Modal Clustering and Classification with Incomplete Modalities.
IEEE Trans. Knowl. Data Eng., 2021

Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport.
IEEE Trans. Knowl. Data Eng., 2021

Heterogeneous Few-Shot Model Rectification With Semantic Mapping.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

PU Active Learning for Recommender Systems.
Neural Process. Lett., 2021

Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima.
CoRR, 2021

Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations.
CoRR, 2021

Reconstruction-based Anomaly Detection with Completely Random Forest.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Fast Abductive Learning by Similarity-based Consistency Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Abductive Learning with Ground Knowledge Base.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values.
Proceedings of the IEEE International Conference on Data Mining, 2021

Improving Deep Forest by Exploiting High-order Interactions.
Proceedings of the IEEE International Conference on Data Mining, 2021

Imitation Learning from Pixel-Level Demonstrations by HashReward.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Isolation Graph Kernel.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Federated Soft Gradient Boosting Machine for Streaming Data.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

Learning Multiple Local Metrics: Global Consideration Helps.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Spanning attack: reinforce black-box attacks with unlabeled data.
Mach. Learn., 2020

Multi-label optimal margin distribution machine.
Mach. Learn., 2020

Soft Gradient Boosting Machine.
CoRR, 2020

Provably Robust Metric Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning with Feature and Distribution Evolvable Streams.
Proceedings of the 37th International Conference on Machine Learning, 2020

Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data.
Proceedings of the 37th International Conference on Machine Learning, 2020

Multi-Label Learning with Deep Forest.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

A Simple Approach for Non-stationary Linear Bandits.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Multi-Label Learning from Crowds.
IEEE Trans. Knowl. Data Eng., 2019

What Makes Objects Similar: A Unified Multi-Metric Learning Approach.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Fast generalization rates for distance metric learning.
Mach. Learn., 2019

Expert-Level Atari Imitation Learning from Demonstrations Only.
CoRR, 2019

Learning from Incomplete and Inaccurate Supervision.
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.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Comprehensive Semi-Supervised Multi-Modal Learning.
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.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Deep Robust Unsupervised Multi-Modal Network.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Multi-View Anomaly Detection: Neighborhood in Locality Matters.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

DMTMV: A Unified Learning Framework for Deep Multi-task Multi-view Learning.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 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.
Mach. Learn., 2017

Preference Relation-based Markov Random Fields for Recommender Systems.
Mach. Learn., 2017

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

Multimodal Linear Discriminant Analysis via Structural Sparsity.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 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.
ACM Trans. Knowl. Discov. Data, 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 Bioinform., 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
Spectral Clustering on Multiple Manifolds.
IEEE Trans. Neural Networks, 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. Exp., 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 Process. Lett., 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. Inf. Technol. Biomed., 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.
Artif. Intell. 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. Signals, 2000


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