Bing Li

Affiliations:

Wuhan University of Technology, School of Economics, China
City University of Hong Kong, Department of Electronic Engineering, Kowloon, Hong Kong (PhD 2013)

According to our database¹, Bing Li authored at least 20 papers between 2013 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2023

Distributed Diagnoses Based on Constructing a Private Chain via a Public Network.

[BibT_eX]

[DOI]

Bing Li

Choujun Zhan

Entropy, September, 2023

Person re-identification via semi-supervised adaptive graph embedding.

[BibT_eX]

[DOI]

Appl. Intell., 2023

2022

A decomposition-ensemble broad learning system for AQI forecasting.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

2021

Identifying epidemic spreading dynamics of COVID-19 by pseudocoevolutionary simulated annealing optimizers.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

2020

A model for collective behaviour propagation: a case study of video game industry.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

2018

Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

2017

Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2017

Discriminative clustering on manifold for adaptive transductive classification.

[BibT_eX]

[DOI]

Neural Networks, 2017

Robust image recognition by L1-norm twin-projection support vector machine.

[BibT_eX]

[DOI]

Neurocomputing, 2017

2015

Automatic image annotation via compact graph based semi-supervised learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2015

Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction.

[BibT_eX]

[DOI]

Inf. Sci., 2015

Image classification via least square semi-supervised discriminant analysis with flexible kernel regression for out-of-sample extension.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images.

[BibT_eX]

[DOI]

Neurocomputing, 2015

2014

A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction.

[BibT_eX]

[DOI]

Neural Networks, 2014

Analyzing rough set based attribute reductions by extension rule.

[BibT_eX]

[DOI]

Bing Li

Tommy W. S. Chow

Peng Tang

Neurocomputing, 2014

Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2014

Soft label based Linear Discriminant Analysis for image recognition and retrieval.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2014

2013

Novel performance enhancement techniques for delta sigma modulators for telecom, audio and sensor applications.

[BibT_eX]

[DOI]

Bing Li

PhD thesis, 2013

A novel feature selection method and its application.

[BibT_eX]

[DOI]

Bing Li

Tommy W. S. Chow

Di Huang

J. Intell. Inf. Syst., 2013

ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Bing Li

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