Shenghua Teng

Orcid: 0000-0002-5345-620X

According to our database¹, Shenghua Teng authored at least 20 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

State-element-aware syndrome classification based on hypergraph convolutional network.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

DedustGAN: Unpaired learning for image dedusting based on Retinex with GANs.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Dual-view Label and Feature Supervision Network for Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2024 7th International Conference on Signal Processing and Machine Learning, 2024

2023

Domain Contrast Network for cross-muscle ALS disease identification with EMG signal.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., April, 2023

2022

Semi-Supervised Leukocyte Segmentation Based on Adversarial Learning With Reconstruction Enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

Traditional Chinese Medicine Health Status Identification with Graph Attention Network.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

Selective ensemble learning for cross-muscle ALS disease identification with EMG signal.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Bone Marrow Cell Segmentation Based on Improved U-Net.

[BibT_eX]

[DOI]

Proceedings of the Data Mining and Big Data - 6th International Conference, 2021

Wavelet-based Multi-branch Convolutional Neural Network for Cross-individual ALS Disease Identification with EMG Signal.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Omics feature learning for cross individual ALS disease identification with EMG signal.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space.

[BibT_eX]

[DOI]

IEEE Access, 2020

Cerebral Microbleeds Detection Based on 3D Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

Liver Tumor Segmentation of CT Image by Using Deep Fully Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

Peripheral Blood Leukocyte Image Segmentation Based on Deep Convolutional Neural Network.

[BibT_eX]

[DOI]

Yuanyuan Chen

Shenghua Teng

Zuoyong Li

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

2018

2018 Knuth Prize is Awarded to Johan Håstad.

[BibT_eX]

[DOI]

Shenghua Teng

SIGACT News, 2018

Generating panoramic unfolded image from borehole video acquired through APBT.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2018

2017

Hierarchical sparse representation with deep dictionary for multi-modal classification.

[BibT_eX]

[DOI]

Neurocomputing, 2017

2016

Estimating functional brain networks by incorporating a modularity prior.

[BibT_eX]

[DOI]

NeuroImage, 2016

2013

A novel region-based level set method initialized with mean shift clustering for automated medical image segmentation.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2013

An Interactive Framework for Video Colorization.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Image and Graphics, 2013

Shenghua Teng

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...