Yan Yang

Orcid: 0000-0001-6227-5235

Affiliations:
  • Xi'an Jiaotong University, School of Mathematics and Statistics, China


According to our database1, Yan Yang authored at least 15 papers between 2016 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

Online presence:

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Bibliography

2024
Adversarial Reweighting with α-Power Maximization for Domain Adaptation.
Int. J. Comput. Vis., October, 2024

Noise-Generating and Imaging Mechanism Inspired Implicit Regularization Learning Network for Low Dose CT Reconstrution.
IEEE Trans. Medical Imaging, May, 2024

ISP-IRLNet: Joint optimization of interpretable sampler and implicit regularization learning network for accerlerated MRI.
Pattern Recognit., 2024

Adversarial Reweighting with ɑ-Power Maximization for Domain Adaptation.
CoRR, 2024

Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee.
SIAM J. Imaging Sci., September, 2023

MD-GraphFormer: A Model-Driven Graph Transformer for Fast Multi-Contrast MR Imaging.
IEEE Trans. Computational Imaging, 2023

2022
Variational HyperAdam: A Meta-Learning Approach to Network Training.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021
Adversarial Reweighting for Partial Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Model-Driven Deep Attention Network for Ultra-fast Compressive Sensing MRI Guided by Cross-contrast MR Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction.
IEEE Trans. Medical Imaging, 2019

A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017
ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI.
CoRR, 2017

2016
Deep ADMM-Net for Compressive Sensing MRI.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016


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