Jing Wang

Orcid: 0000-0002-3375-6694

Affiliations:

University of Greenwich, London, UK
University of Tokyo, Department of Creative Informatics, Japan (former)
Bournemouth University, Faculty of Science and Technology, UK (Ph.D., 2018)

According to our database¹, Jing Wang authored at least 27 papers between 2008 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Tight and fast generalization error bound of graph embedding in metric space.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

MixSp: A Framework for Embedding Heterogeneous Information Networks With Arbitrary Number of Node and Edge Types.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Multi-label learning with missing and completely unobserved labels.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2021

Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Generalization Error Bound for Hyperbolic Ordinal Embedding.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Tensorized Multi-view Subspace Representation Learning.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

Discovering Latent Class Labels for Multi-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Multiview Consensus Graph Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression.

[BibT_eX]

[DOI]

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

Attributed Subspace Clustering.

[BibT_eX]

[DOI]

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

Hyperbolic Ordinal Embedding.

[BibT_eX]

[DOI]

Proceedings of The 11th Asian Conference on Machine Learning, 2019

Orderly Subspace Clustering.

[BibT_eX]

[DOI]

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

2018

Diverse Non-Negative Matrix Factorization for Multiview Data Representation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Adaptive Structure Concept Factorization for Multiview Clustering.

[BibT_eX]

[DOI]

Neural Comput., 2018

Power-law Distribution Aware Trust Prediction.

[BibT_eX]

[DOI]

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

Ranking Preserving Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

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

2017

Constrained Low-Rank Representation for Robust Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Graph-regularized concept factorization for multi-view document clustering.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2017

Learning community structures: Global and local perspectives.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Unsupervised feature selection via Diversity-induced Self-representation.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Robust nonnegative matrix factorization with ordered structure constraints.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Multi-Component Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

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

Community Preserving Network Embedding.

[BibT_eX]

[DOI]

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

2016

Adaptive Multi-view Semi-supervised Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Robust semi-supervised nonnegative matrix factorization.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2008

Sketch-Up in the Virtual World.

[BibT_eX]

[DOI]

Jing Wang

Feng Tian

Hock Soon Seah

Proceedings of the International Conference on Cyberworlds 2008, 2008

Jing Wang

Timeline

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