Tiejun Yang

Orcid: 0000-0002-8644-4651

According to our database1, Tiejun Yang authored at least 29 papers between 2006 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Skin lesion image segmentation by using backchannel filling CNN and level sets.
Biomed. Signal Process. Control., January, 2024

2023
DC-SiamNet: Deep contrastive Siamese network for self-supervised MRI reconstruction.
Comput. Biol. Medicine, December, 2023

Multi-directional broad learning system for the unsupervised stereo matching method.
Pattern Recognit., October, 2023

SwinGAN: A dual-domain Swin Transformer-based generative adversarial network for MRI reconstruction.
Comput. Biol. Medicine, February, 2023

DAU-Net: An unsupervised 3D brain MRI registration model with dual-attention mechanism.
Int. J. Imaging Syst. Technol., January, 2023

2022
Vehicle counting method based on attention mechanism SSD and state detection.
Vis. Comput., 2022

Graph regularized locally linear embedding for unsupervised feature selection.
Pattern Recognit., 2022

Piezoresistor defect classification using convolutional neural networks based on incremental branch growth.
Multim. Tools Appl., 2022

Self-paced non-convex regularized analysis-synthesis dictionary learning for unsupervised feature selection.
Knowl. Based Syst., 2022

Towards Compact Broad Learning System by Combined Sparse Regularization.
Int. J. Inf. Technol. Decis. Mak., 2022

GraformerDIR: Graph convolution transformer for deformable image registration.
Comput. Biol. Medicine, 2022

Design of an Active Data Watermark Detection System.
Proceedings of the Big Data and Security - 4th International Conference, 2022

2021
Detection of defects in voltage-dependent resistors using stacked-block-based convolutional neural networks.
Vis. Comput., 2021

Deep Learning-Based Automatic Monitoring Method for Grain Quantity Change in Warehouse Using Semantic Segmentation.
IEEE Trans. Instrum. Meas., 2021

Classification of industrial surface defects based on neural architecture search.
Multim. Tools Appl., 2021

Discriminative group-sparsity constrained broad learning system for visual recognition.
Inf. Sci., 2021

A meshless method in reproducing kernel space for solving variable-order time fractional advection-diffusion equations on arbitrary domain.
Appl. Math. Lett., 2021

Overview of Deep Learning Based Cardiac MR Image Segmentation Methods.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

2020
Surface defect detection of voltage-dependent resistors using convolutional neural networks.
Multim. Tools Appl., 2020

SUD-GAN: Deep Convolution Generative Adversarial Network Combined with Short Connection and Dense Block for Retinal Vessel Segmentation.
J. Digit. Imaging, 2020

2019
Sampling with level set for pigmented skin lesion segmentation.
Signal Image Video Process., 2019

Skin lesion segmentation using object scale-oriented fully convolutional neural networks.
Signal Image Video Process., 2019

Graph-Based Clustering via Group Sparsity and Manifold Regularization.
IEEE Access, 2019

Sparse Angle CT Reconstruction Algorithm Based on Adaptive Non-Local Mean Constraint.
Proceedings of the VSIP 2019: International Conference on Video, 2019

2018
Vegetation segmentation based on variational level set using multi-channel local wavelet texture and color.
Signal Image Video Process., 2018

2016
A Forecasting Model for Feed Grain Demand Based on Combined Dynamic Model.
Comput. Intell. Neurosci., 2016

2012
Vehicle license plate recognition based on wavelet transform modulus maxima and BP neural network.
Proceedings of the Eighth International Conference on Natural Computation, 2012

2007
A General Method for Detecting All-Zero Blocks Prior to DCT and Quantization.
IEEE Trans. Circuits Syst. Video Technol., 2007

2006
A New Approach to Symbolic Classification Rule Extraction Based on SVM.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006


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