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Xiaojian Xu (许晓健)
Xiaojian Xu (许晓健)
Postdoc @ University of Michigan, PhD in CS @ Washington University in St. Louis
Verified email at wustl.edu - Homepage
Title
Cited by
Cited by
Year
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
1392019
Scalable Plug-and-Play ADMM with Convergence Guarantees
Y Sun*, Z Wu*, X Xu*, B Wohlberg, US Kamilov
IEEE Transactions on Computational Imaging, 2020
552020
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
492020
Boosting the performance of plug-and-play priors via denoiser scaling
X Xu, J Liu, Y Sun, B Wohlberg, US Kamilov
54th Annual Asilomar Conference on Signals, Systems, and Computers, 2020
252020
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
232021
Signprox: One-bit proximal algorithm for nonconvex stochastic optimization
X Xu, US Kamilov
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
92019
Online Deep Equilibrium Learning for Regularization by Denoising
J Liu*, X Xu*, W Gan, S Shoushtari, US Kamilov
arXiv preprint arXiv:2205.13051, 2022
62022
Monotonically convergent regularization by denoising
Y Hu, J Liu, X Xu, US Kamilov
2022 IEEE International Conference on Image Processing (ICIP), 426-430, 2022
42022
Learning‐based motion artifact removal networks for quantitative mapping
X Xu, SVVN Kothapalli, J Liu, S Kahali, W Gan, DA Yablonskiy, ...
Magnetic resonance in medicine 88 (1), 106-119, 2022
4*2022
Stochastic deep unfolding for imaging inverse problems
J Liu, Y Sun, W Gan, X Xu, B Wohlberg, US Kamilov
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
32021
Bregman Plug-and-Play Priors
AH Al-Shabili*, X Xu*, I Selesnick, US Kamilov
arXiv preprint arXiv:2202.02388, 2022
12022
Deep‐Learning‐Based Accelerated and Noise‐Suppressed Estimation (DANSE) of quantitative Gradient Recalled Echo (qGRE) MRI metrics associated with Human Brain Neuronal Structure …
S Kahali, SVVN Kothapalli, X Xu, US Kamilov, DA Yablonskiy
NMR in Biomedicine, e4883, 2021
12021
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
X Xu, W Gan, SVVN Kothapalli, DA Yablonskiy, US Kamilov
arXiv preprint arXiv:2210.06330, 2022
2022
Learning-based Motion Artifact Removal Networks (LEARN) for Quantitative R Mapping
X Xu, SVVN Kothapalli, J Liu, S Kahali, W Gan, DA Yablonskiy, ...
arXiv preprint arXiv:2109.01622, 2021
2021
Robust 3D Tomographic Imaging of the Ionospheric Electron Density
X Xu, O Dhifallah, H Mansour, PT Boufounos, PV Orlik
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
2020
Supplementary Material for “Online Deep Equilibrium Learning for Regularization by Denoising”
J Liu, X Xu, W Gan, S Shoushtari, US Kamilov
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