Hao Wang

Orcid: 0000-0001-6893-0253

Affiliations:

Shenzhen University, Guangdong Multimedia Information Service Engineering Technology Research Center, China
City University of Hong Kong, Department of Electrical Engineering, Hong Kong (PhD 2019)

According to our database¹, Hao Wang authored at least 18 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2024

Image Classification on Hypersphere Loss.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, April, 2024

2023

Two analog neural models with the controllability on number of assets for sparse portfolio design.

[BibT_eX]

[DOI]

Hao Wang

Chi-Sing Leung

Andy Hau-Ping Chan

Anthony G. Constantinides

Wenming Cao

Neurocomputing, November, 2023

A Globally Stable LPNN Model for Sparse Approximation.

[BibT_eX]

[DOI]

Anthony G. Constantinides

IEEE Trans. Neural Networks Learn. Syst., August, 2023

l0-norm based Short-term Sparse Portfolio Optimization Algorithm Based on Alternating Direction Method of Multipliers.

[BibT_eX]

[DOI]

Signal Process., July, 2023

Constrained Center Loss for Convolutional Neural Networks.

[BibT_eX]

[DOI]

Zhanglei Shi

Hao Wang

Chi-Sing Leung

IEEE Trans. Neural Networks Learn. Syst., February, 2023

2022

Lagrange Programming Neural Networks for Sparse Portfolio Design.

[BibT_eX]

[DOI]

Hao Wang

Desmond Hui

Chi-Sing Leung

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2020

Robust MIMO radar target localization based on lagrange programming neural network.

[BibT_eX]

[DOI]

Signal Process., 2020

Robust ellipse fitting based on Lagrange programming neural network and locally competitive algorithm.

[BibT_eX]

[DOI]

Anthony G. Constantinides

Neurocomputing, 2020

Constrained Center Loss for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

An ℓ<sub>0</sub>-Norm-Based Centers Selection for Failure Tolerant RBF Networks.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

ADMM-Based Algorithm for Training Fault Tolerant RBF Networks and Selecting Centers.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

An analog neural network approach for the least absolute shrinkage and selection operator problem.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2018

l0-norm Based Centers Selection for Failure Tolerant RBF Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Fast L1-Minimization Algorithm for Sparse Approximation Based on an Improved LPNN-LCA framework.

[BibT_eX]

[DOI]

Hao Wang

Ruibin Feng

Chi-Sing Leung

CoRR, 2018

Lagrange Programming Neural Network Approaches for Robust Time-of-Arrival Localization.

[BibT_eX]

[DOI]

Hao Wang

Ruibin Feng

Andrew Chi-Sing Leung

Kim Fung Tsang

Cogn. Comput., 2018

MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers.

[BibT_eX]

[DOI]

Hao Wang

Andrew Chi-Sing Leung

John Sum

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

A Lagrange Programming Neural Network Approach for Robust Ellipse Fitting.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

A Robust TOA Source Localization Algorithm Based on LPNN.

[BibT_eX]

[DOI]

Hao Wang

Ruibin Feng

Chi-Sing Leung

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

Hao Wang

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