Weiya Shi

According to our database1, Weiya Shi authored at least 14 papers between 2008 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
X-Recon: Learning-based Patient-specific High-Resolution CT Reconstruction from Orthogonal X-Ray Images.
CoRR, 2024

To Distinguish Internal Infestation in Wheat Kernels Using Biophoton Technology and CS-BP Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

2021
DeepSDM: Boundary-aware pneumothorax segmentation in chest X-ray images.
Neurocomputing, 2021

Exploiting Deep Cross-Slice Features From CT Images For Multi-Class Pneumonia Classification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
M$^3$Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging.
IEEE J. Biomed. Health Informatics, 2020

M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging.
CoRR, 2020

Lung Infection Quantification of COVID-19 in CT Images with Deep Learning.
CoRR, 2020

2011
The Accelerated Power Method for Kernel Principal Component Analysis.
Proceedings of the Applied Informatics and Communication - International Conference, 2011

2010
An Improved Kernel Principal Component Analysis for Large-Scale Data Set.
Proceedings of the Advances in Neural Networks, 2010

Incomplete Cholesky decomposition based kernel principal component analysis for large-scale data set.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm.
Proceedings of the Advances in Neural Networks, 2009

Matrix-based Kernel Principal Component analysis for large-scale data set.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
An Improved Generalized Discriminant Analysis for Large-Scale Data Set.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008


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