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Yu Sun (孙彧)
Yu Sun (孙彧)
Postdoc @ Caltech, Ph.D. @ WUSTL
Verified email at caltech.edu - Homepage
Title
Cited by
Cited by
Year
An online plug-and-play algorithm for regularized image reconstruction
Y Sun, B Wohlberg, US Kamilov
IEEE Transactions on Computational Imaging 5 (3), 395-408, 2019
1232019
Efficient and accurate inversion of multiple scattering with deep learning
Y Sun, Z Xia, US Kamilov
Optics express 26 (11), 14678-14688, 2018
1062018
Image restoration using total variation regularized deep image prior
J Liu, Y Sun, X Xu, US Kamilov
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
892019
Rare: Image reconstruction using deep priors learned without groundtruth
J Liu, Y Sun, C Eldeniz, W Gan, H An, US Kamilov
IEEE Journal of Selected Topics in Signal Processing 14 (6), 1088-1099, 2020
752020
Block coordinate regularization by denoising
Y Sun, J Liu, US Kamilov
Advances in Neural Information Processing Systems 33, 2019
542019
SIMBA: Scalable inversion in optical tomography using deep denoising priors
Z Wu, Y Sun, A Matlock, J Liu, L Tian, US Kamilov
IEEE Journal of Selected Topics in Signal Processing 14 (6), 1163-1175, 2020
372020
Scalable plug-and-play ADMM with convergence guarantees
Y Sun*, Z Wu*, X Xu*, B Wohlberg, US Kamilov
IEEE Transactions on Computational Imaging 7, 849-863, 2021
332021
Provable convergence of plug-and-play priors with MMSE denoisers
X Xu, Y Sun, J Liu, B Wohlberg, US Kamilov
IEEE Signal Processing Letters 27, 1280-1284, 2020
332020
Regularized Fourier ptychography using an online plug-and-play algorithm
Y Sun, S Xu, Y Li, L Tian, B Wohlberg, US Kamilov
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
332019
Coil: Coordinate-based internal learning for tomographic imaging
Y Sun, J Liu, M Xie, B Wohlberg, US Kamilov
IEEE Transactions on Computational Imaging 7, 1400-1412, 2021
20*2021
A new recurrent plug-and-play prior based on the multiple self-similarity network
G Song, Y Sun, J Liu, Z Wang, US Kamilov
IEEE Signal Processing Letters 27, 451-455, 2020
172020
Online regularization by denoising with applications to phase retrieval
Z Wu, Y Sun, J Liu, U Kamilov
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
172019
Boosting the performance of plug-and-play priors via denoiser scaling
X Xu, J Liu, Y Sun, B Wohlberg, US Kamilov
arXiv preprint arXiv:2002.11546, 2020
142020
SGD-Net: Efficient model-based deep learning with theoretical guarantees
J Liu, Y Sun, W Gan, X Xu, B Wohlberg, US Kamilov
IEEE Transactions on Computational Imaging 7, 598-610, 2021
122021
Async-RED: A provably convergent asynchronous block parallel stochastic method using deep denoising priors
Y Sun, J Liu, Y Sun, B Wohlberg, US Kamilov
International Conference on Learning Representations (ICLR), 2021
102021
Deep learning using a biophysical model for Robust and Accelerated Reconstruction (RoAR) of quantitative and artifact-free R2* images
M Torop, S Kothapalli, Y Sun, J Liu, S Kahali, DA Yablonskiy, US Kamilov
Magnetic Resonance in Medicine, 2019
10*2019
Zero-Shot Learning of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements
R Liu*, Y Sun*, J Zhu, L Tian, U Kamilov
arXiv preprint arXiv:2112.00002, 2021
72021
Plug-in stochastic gradient method
Y Sun, B Wohlberg, US Kamilov
BASP 2019, 2018
62018
Deep image reconstruction using unregistered measurements without groundtruth
W Gan, Y Sun, C Eldeniz, J Liu, H An, US Kamilov
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1531-1534, 2021
52021
Joint reconstruction and calibration using regularization by denoising with application to computed tomography
M Xie, J Liu, Y Sun, W Gan, B Wohlberg, US Kamilov
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
4*2021
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