Yanbei Liu

Orcid: 0000-0003-2105-0931

According to our database1, Yanbei Liu authored at least 36 papers between 2016 and 2024.

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

Timeline

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Links

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Bibliography

2024
Cross-scale contrastive triplet networks for graph representation learning.
Pattern Recognit., January, 2024

2023
Mifanet: multi-scale information fusion attention network for determining hatching eggs activity via detecting PPG signals.
Neural Comput. Appl., October, 2023

Self-Consistent Graph Neural Networks for Semi-Supervised Node Classification.
IEEE Trans. Big Data, August, 2023

RNN-combined graph convolutional network with multi-feature fusion for tuberculosis cavity segmentation.
Signal Image Video Process., July, 2023

Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity.
IEEE Trans. Medical Imaging, February, 2023

Multi-Scale Subgraph Contrastive Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Semi-Supervised Graph Neural Network with Confidence Discrimination.
Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023

Multi-Scale TransUnet Combined with CBAM for Nuclear Image Segmentation.
Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023

CNN-Transformer Combined with Skip Structure for Tuberculosis Cavity Segmentation.
Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

2022
Pest identification via hyperspectral image and deep learning.
Signal Image Video Process., 2022

Binarized network embedding with community structural information.
Inf. Sci., 2022

2021
Rodlike nanoparticle parameter measurement method based on improved Mask R-CNN segmentation.
Signal Image Video Process., 2021

Diabetic macular edema grading based on improved Faster R-CNN and MD-ResNet.
Signal Image Video Process., 2021

Incomplete multi-modal representation learning for Alzheimer's disease diagnosis.
Medical Image Anal., 2021

Automatic fabric defect detection using a wide-and-light network.
Appl. Intell., 2021

2020
Segmentation of Lung Nodules Using Improved 3D-UNet Neural Network.
Symmetry, 2020

Automated quality classification of colour fundus images based on a modified residual dense block network.
Signal Image Video Process., 2020

Community enhanced graph convolutional networks.
Pattern Recognit. Lett., 2020

A Dual-Channel convolution neural network for image smoke detection.
Multim. Tools Appl., 2020

Unsupervised feature selection based on local structure learning.
Multim. Tools Appl., 2020

Saliency detection via background prior and foreground seeds.
Multim. Tools Appl., 2020

Digital-Display Temperature and Humidity Instrument Recognition Based on YOLOv3 and Character Structure Clustering.
Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020

Independence Promoted Graph Disentangled Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Research on the Method of Color Fundus Image Optic Cup Segmentation Based on Deep Learning.
Symmetry, 2019

Acoustic Field of a Linear Phased Array: A Simulation Study of Ultrasonic Circular Tube Material.
Sensors, 2019

Retinal Arteriosclerosis Detection Based on Improved VGG-16 Network.
J. Medical Imaging Health Informatics, 2019

A Dual Convolution Network Using Dark Channel Prior for Image Smoke Classification.
IEEE Access, 2019

Fully Convolutional Neural Network With GRU for 3D Braided Composite Material Flaw Detection.
IEEE Access, 2019

Fully Convolutional Network With Gated Recurrent Unit for Hatching Egg Activity Classification.
IEEE Access, 2019

Spherical Nanoparticle Parameter Measurement Method based on Mask R-CNN Segmentation and Edge Fitting.
Proceedings of the ICCPR '19: 8th International Conference on Computing and Pattern Recognition, 2019

Detection of Pulmonary Nodules based on Reception and Faster R-CNN.
Proceedings of the ICCPR '19: 8th International Conference on Computing and Pattern Recognition, 2019

2018
Entropy-based active sparse subspace clustering.
Multim. Tools Appl., 2018

Low-Complexity Spatial Parameter Estimation for Coherently Distributed Linear Chirp Source.
IEEE Access, 2018

2017
Learning community structures: Global and local perspectives.
Neurocomputing, 2017

Unsupervised feature selection via Diversity-induced Self-representation.
Neurocomputing, 2017

2016
Adaptive Multi-view Semi-supervised Nonnegative Matrix Factorization.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016


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