Jim Jing-Yan Wang

According to our database1, Jim Jing-Yan Wang authored at least 47 papers between 2013 and 2019.

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

Timeline

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Bibliography

2019
When sparse coding meets ranking: a joint framework for learning sparse codes and ranking scores.
Neural Comput. Appl., 2019

2018
Editorial: neural computing in next-generation virtual reality technology.
Neural Comput. Appl., 2018

2017
Multi-instance dictionary learning via multivariate performance measure optimization.
Pattern Recognit., 2017

Editorial: recent research in medical technology based on multimedia and pattern recognition.
Neurocomputing, 2017

A novel image tag completion method based on convolutional neural network.
CoRR, 2017

2016
Joint learning of cross-modal classifier and factor analysis for multimedia data classification.
Neural Comput. Appl., 2016

Semi-supervised structured output prediction by local linear regression and sub-gradient descent.
CoRR, 2016

Cross-model convolutional neural network for multiple modality data representation.
CoRR, 2016

Optimizing top precision performance measure of content-based image retrieval by learning similarity function.
CoRR, 2016

Learning convolutional neural network to maximize Pos@Top performance measure.
CoRR, 2016

CMsearch: simultaneous exploration of protein sequence space and structure space improves not only protein homology detection but also protein structure prediction.
Bioinform., 2016

A Novel Transfer Learning Method Based on Common Space Mapping and Weighted Domain Matching.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Optimizing top precision performance measure of content-based image retrieval by learning similarity function.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Optimizing Multivariate Performance Measures from Multi-View Data.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Max-min distance nonnegative matrix factorization.
Neural Networks, 2015

Sparse structure regularized ranking.
Multim. Tools Appl., 2015

Support image set machine: Jointly learning representation and classifier for image set classification.
Knowl. Based Syst., 2015

Regularized maximum correntropy machine.
Neurocomputing, 2015

Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization.
Expert Syst. Appl., 2015

Maximum mutual information regularized classification.
Eng. Appl. Artif. Intell., 2015

Multi-view learning for multivariate performance measures optimization.
CoRR, 2015

Sparse coding with earth mover's distance.
CoRR, 2015

Supervised Cross-Modal Factor Analysis for Multiple Modal Data Classification.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

An Efficient Topology-Based Algorithm for Transient Analysis of Power Grid.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Partially Labeled Data Tuple Can Optimize Multivariate Performance Measures.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Unified framework for representing and ranking.
Pattern Recognit., 2014

Feature selection and multi-kernel learning for sparse representation on a manifold.
Neural Networks, 2014

From one graph to many: Ensemble transduction for content-based database retrieval.
Knowl. Based Syst., 2014

Beyond cross-domain learning: Multiple-domain nonnegative matrix factorization.
Eng. Appl. Artif. Intell., 2014

Learning manifold to regularize nonnegative matrix factorization.
CoRR, 2014

An Efficient Topology-Based Algorithm for Transient Analysis of Power Grid.
CoRR, 2014

When coding meets ranking: A joint framework based on local learning.
CoRR, 2014

Domain Transfer Structured Output Learning.
CoRR, 2014

Semi-supervised local-learning-based feature selection.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Domain transfer nonnegative matrix factorization.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Semi-supervised sparse coding.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Large margin image set representation and classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Minimum Information Loss Based Multi-kernel Learning for Flagellar Protein Recognition in Trypanosoma Brucei.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Supervised Transfer Sparse Coding.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Joint learning and weighting of visual vocabulary for bag-of-feature based tissue classification.
Pattern Recognit., 2013

Multiple graph regularized nonnegative matrix factorization.
Pattern Recognit., 2013

Discriminative sparse coding on multi-manifolds.
Knowl. Based Syst., 2013

Max-Min Distance Nonnegative Matrix Factorization.
CoRR, 2013

Semi-Supervised Sparse Coding.
CoRR, 2013

Cross-Domain Sparse Coding.
CoRR, 2013

Non-negative matrix factorization by maximizing correntropy for cancer clustering.
BMC Bioinform., 2013

Cross-domain sparse coding.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013


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