Yu Sun

Orcid: 0000-0001-7225-9677

Affiliations:
  • Washington University in St. Louis, MO, USA


According to our database1, Yu Sun authored at least 30 papers between 2018 and 2023.

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

Timeline

Legend:

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Online presence:

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Bibliography

2023
Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach.
IEEE Trans. Geosci. Remote. Sens., 2023

Learning Task-Specific Strategies for Accelerated MRI.
CoRR, 2023

2022
Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields.
Nat. Mac. Intell., September, 2022

Deformation-Compensated Learning for Image Reconstruction Without Ground Truth.
IEEE Trans. Medical Imaging, 2022

Learning Cross-Video Neural Representations for High-Quality Frame Interpolation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Scalable Plug-and-Play ADMM With Convergence Guarantees.
IEEE Trans. Computational Imaging, 2021

CoIL: Coordinate-Based Internal Learning for Tomographic Imaging.
IEEE Trans. Computational Imaging, 2021

SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees.
IEEE Trans. Computational Imaging, 2021

Zero-Shot Learning of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements.
CoRR, 2021

MoDIR: Motion-Compensated Training for Deep Image Reconstruction without Ground Truth.
CoRR, 2021

Deep Image Reconstruction Using Unregistered Measurements Without Groundtruth.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors.
Proceedings of the 9th International Conference on Learning Representations, 2021

Joint Reconstruction and Calibration Using Regularization by Denoising with Application to Computed Tomography.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Stochastic Deep Unfolding for Imaging Inverse Problems.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Block Coordinate Regularization by Denoising.
IEEE Trans. Computational Imaging, 2020

Provable Convergence of Plug-and-Play Priors With MMSE Denoisers.
IEEE Signal Process. Lett., 2020

A New Recurrent Plug-and-Play Prior Based on the Multiple Self-Similarity Network.
IEEE Signal Process. Lett., 2020

SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors.
IEEE J. Sel. Top. Signal Process., 2020

RARE: Image Reconstruction Using Deep Priors Learned Without Groundtruth.
IEEE J. Sel. Top. Signal Process., 2020

Joint Reconstruction and Calibration using Regularization by Denoising.
CoRR, 2020

Scalable Plug-and-Play ADMM with Convergence Guarantees.
CoRR, 2020

Boosting the Performance of Plug-and-Play Priors via Denoiser Scaling.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction.
IEEE Trans. Computational Imaging, 2019

Infusing Learned Priors into Model-Based Multispectral Imaging.
CoRR, 2019

Online Regularization by Denoising with Applications to Phase Retrieval.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Image Restoration Using Total Variation Regularized Deep Image Prior.
Proceedings of the IEEE International Conference on Acoustics, 2019

Regularized Fourier Ptychography Using an Online Plug-and-play Algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Plug-In Stochastic Gradient Method.
CoRR, 2018

Stability of Scattering Decoder For Nonlinear Diffractive Imaging.
CoRR, 2018

Efficient and accurate inversion of multiple scattering with deep learning.
CoRR, 2018


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