Xiaojian Xu (许晓健)

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Ulugbek S. KamilovAssistant Professor, Computational Imaging Group (CIG), Washington UniversityVerified email at wustl.edu
Jiaming Liu(刘家明)Department of Electrical and Systems Engineering, Washington University in St. LouisVerified email at wustl.edu
Yu Sun (孙彧)Postdoc @ Caltech, Ph.D. @ WUSTLVerified email at caltech.edu
Brendt WohlbergLos Alamos National LaboratoryVerified email at lanl.gov
Weijie GanPhD student in Computer Science, Washington University in St. LouisVerified email at wustl.edu
Zihui WuPhD student, California Institute of TechnologyVerified email at caltech.edu
Sayan KahaliPostdoctoral Research Associate, Washington University School of Medicine, Saint Louis, USAVerified email at ieee.org
Satya V.V.N. KothapalliStaff Scientist at Washington University School of MedicineVerified email at wustl.edu
Dmitriy YablonskiyWashington University in St. LouisVerified email at wustl.edu
Yuyang HuWashington university in St. LouisVerified email at wustl.edu
Philip OrlikDirector at Mitsubishi Electric Research LabsVerified email at merl.com
Hassan MansourMitsubishi Electric Research LaboratoriesVerified email at merl.com
Oussama DhifallahPh.D., Electrical Engineering, Harvard UniversityVerified email at g.harvard.edu
Petros BoufounosMitsubishi Electric Research LaboratoriesVerified email at merl.com
Ivan SelesnickElectrical and Computer Engineering, Tandon School of Engineering, New York UniversityVerified email at nyu.edu
Shirin ShoushtariWashington University in St.LouisVerified email at wustl.edu
Abdullah Al-ShabiliTandon School of Engineering, New York UniversityVerified email at nyu.edu

Xiaojian Xu (许晓健)

Ph.D student in Washington University in St. Louis

Verified email at wustl.edu - Homepage

Computational Imaging Optimization Deep Learning Computer Vision


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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	89	2019
Scalable Plug-and-Play ADMM with Convergence Guarantees Y Sun, Z Wu, X Xu*, B Wohlberg, US Kamilov IEEE Transactions on Computational Imaging, 2020	33	2020
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	33	2020
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	14	2020
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	12	2021
Signprox: One-bit proximal algorithm for nonconvex stochastic optimization X Xu, US Kamilov ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019	7	2019
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	1*	2022
Monotonically Convergent Regularization by Denoising Y Hu, J Liu, X Xu, US Kamilov arXiv preprint arXiv:2202.04961, 2022	1	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	1	2021
Online Deep Equilibrium Learning for Regularization by Denoising J Liu, X Xu, W Gan, S Shoushtari, US Kamilov arXiv preprint arXiv:2205.13051, 2022		2022
Bregman Plug-and-Play Priors AH Al-Shabili, X Xu, I Selesnick, US Kamilov arXiv preprint arXiv:2202.02388, 2022		2022
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 bioRxiv, 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

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