We stand with Ukraine

We stand with Ukraine

Kun Shang

Orcid: 0000-0003-3826-1102

Affiliations:

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

According to our database¹, Kun Shang authored at least 23 papers between 2015 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

NeuroAlign: Dynamic Dual-Stream Alignment of Perception and Cognition for Zero-Shot Brain-Image Retrieval.

[DOI]

,

,

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

2025

Hybrid-ctunet: a double complementation approach for 3D medical image segmentation.

[DOI]

,

,

,

Int. J. Mach. Learn. Cybern., June, 2025

Integer Binary-Range Alignment Neuron for Spiking Neural Networks.

[DOI]

,

,

,

,

,

,

,

CoRR, June, 2025

2024

F2IFlow for CT Metal Artifact Reduction.

[DOI]

,

,

,

,

IEEE Trans. Computational Imaging, 2024

Escape the Corrupted Lines by a Learning Sampling Pattern for MRI Reconstruction.

[DOI]

,

,

,

,

Proceedings of the International Conference on Computing, 2024

2023

Active CT Reconstruction with a Learned Sampling Policy.

[DOI]

,

,

,

,

,

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Decoupled R-CNN: Sensitivity-Specific Detector for Higher Accurate Localization.

[DOI]

,

,

,

IEEE Trans. Circuits Syst. Video Technol., 2022

DuDoTrans: Dual-Domain Transformer for Sparse-View CT Reconstruction.

[DOI]

,

,

,

,

Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

2021

DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction.

[DOI]

,

,

,

,

,

CoRR, 2021

Generalizable Limited-Angle CT Reconstruction via Sinogram Extrapolation.

[DOI]

,

,

,

,

,

,

CoRR, 2021

Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation.

[DOI]

,

,

,

,

,

,

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

DMGAN: Discriminative Metric-based Generative Adversarial Networks.

[DOI]

,

,

,

,

Knowl. Based Syst., 2020

2019

Sparse Representation-Based Intuitionistic Fuzzy Clustering Approach to Find the Group Intra-Relations and Group Leaders for Large-Scale Decision Making.

[DOI]

,

,

,

,

Francisco Herrera

IEEE Trans. Fuzzy Syst., 2019

Iterative <i>p</i>-shrinkage thresholding algorithm for low Tucker rank tensor recovery.

[DOI]

,

,

Zheng-Hai Huang

Inf. Sci., 2019

Social network analysis-based conflict relationship investigation and conflict degree-based consensus reaching process for large scale decision making using sparse representation.

[DOI]

,

,

,

Francisco Herrera

Inf. Fusion, 2019

Learning deep discriminative face features by customized weighted constraint.

[DOI]

Monica M. Y. Zhang

,

,

Neurocomputing, 2019

Label-removed generative adversarial networks incorporating with K-Means.

[DOI]

,

,

,

Neurocomputing, 2019

Label-Removed Generative Adversarial Networks Incorporating with K-Means.

[DOI]

,

,

CoRR, 2019

A singular value <i>p</i>-shrinkage thresholding algorithm for low rank matrix recovery.

[DOI]

,

,

Zheng-Hai Huang

Comput. Optim. Appl., 2019

2018

Low Tucker rank tensor recovery via ADMM based on exact and inexact iteratively reweighted algorithms.

[DOI]

,

,

Zheng-Hai Huang

J. Comput. Appl. Math., 2018

A single gallery-based face recognition using extended joint sparse representation.

[DOI]

,

Zheng-Hai Huang

,

,

Appl. Math. Comput., 2018

2016

A Customized Sparse Representation Model With Mixed Norm for Undersampled Face Recognition.

[DOI]

,

Zheng-Hai Huang

,

IEEE Trans. Inf. Forensics Secur., 2016

2015

Variational Feature Representation-based Classification for face recognition with single sample per person.

[DOI]

,

,

Zheng-Hai Huang

,

,

J. Vis. Commun. Image Represent., 2015

Loading...