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 32 papers between 2008 and 2025.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
Auto-weighted Graph Reconstruction for efficient ensemble clustering.
Inf. Sci., 2025

2023
Tight and fast generalization error bound of graph embedding in metric space.
Proceedings of the International Conference on Machine Learning, 2023

2022
RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation.
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.
IEEE Trans. Knowl. Data Eng., 2021

Multi-label learning with missing and completely unobserved labels.
Data Min. Knowl. Discov., 2021

Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.
Medical Image Anal., 2020

Tensorized Multi-view Subspace Representation Learning.
Int. J. Comput. Vis., 2020

AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.
CoRR, 2020

Discovering Latent Class Labels for Multi-Label Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Multiview Consensus Graph Clustering.
IEEE Trans. Image Process., 2019

Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Attributed Subspace Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Hyperbolic Ordinal Embedding.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

Orderly Subspace Clustering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Advances in nonnegative matrix factorization with application on data clustering
PhD thesis, 2018

Diverse Non-Negative Matrix Factorization for Multiview Data Representation.
IEEE Trans. Cybern., 2018

Adaptive Structure Concept Factorization for Multiview Clustering.
Neural Comput., 2018

Power-law Distribution Aware Trust Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Ranking Preserving Nonnegative Matrix Factorization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Edge Content Enhanced Network Embedding.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017
Constrained Low-Rank Representation for Robust Subspace Clustering.
IEEE Trans. Cybern., 2017

Graph-regularized concept factorization for multi-view document clustering.
J. Vis. Commun. Image Represent., 2017

Learning community structures: Global and local perspectives.
Neurocomputing, 2017

Unsupervised feature selection via Diversity-induced Self-representation.
Neurocomputing, 2017

Robust nonnegative matrix factorization with ordered structure constraints.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Multi-Component Nonnegative Matrix Factorization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Community Preserving Network Embedding.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Adaptive Multi-view Semi-supervised Nonnegative Matrix Factorization.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
Robust semi-supervised nonnegative matrix factorization.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2008
Sketch-Up in the Virtual World.
Proceedings of the International Conference on Cyberworlds 2008, 2008


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