Image Restoration Using Total Variation Regularized Deep Image Prior. - Jiaming Liu 001; Yu Sun 022; Xiaojian Xu 002; Ulugbek S. Kamilov (ICASSP, 2019)

SignProx: One-bit Proximal Algorithm for Nonconvex Stochastic Optimization. - Xiaojian Xu 002; Ulugbek S. Kamilov (ICASSP, 2019)

Boosting the Performance of Plug-and-Play Priors via Denoiser Scaling. - Xiaojian Xu 002; Jiaming Liu 001; Yu Sun 022; Brendt Wohlberg; Ulugbek S. Kamilov (ACSSC, 2020)

Robust 3D Tomographic Imaging of the Ionospheric Electron Density. - Xiaojian Xu 002; Oussama Dhifallah; Hassan Mansour; Petros T. Boufounos; Philip V. Orlik (IGARSS, 2020)

Provable Convergence of Plug-and-Play Priors With MMSE Denoisers. - Xiaojian Xu 002; Yu Sun 022; Jiaming Liu 001; Brendt Wohlberg; Ulugbek S. Kamilov (IEEE Signal Process. Lett., 2020)

Stochastic Deep Unfolding for Imaging Inverse Problems. - Jiaming Liu 001; Yu Sun 022; Weijie Gan; Xiaojian Xu 002; Brendt Wohlberg; Ulugbek S. Kamilov (ICASSP, 2021)

SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees. - Jiaming Liu 001; Yu Sun 022; Weijie Gan; Xiaojian Xu 002; Brendt Wohlberg; Ulugbek S. Kamilov (IEEE Trans. Computational Imaging, 2021)

Scalable Plug-and-Play ADMM With Convergence Guarantees. - Yu Sun 022; Zihui Wu; Xiaojian Xu 002; Brendt Wohlberg; Ulugbek S. Kamilov (IEEE Trans. Computational Imaging, 2021)

Bregman Plug-And-Play Priors. - Abdullah H. Al-Shabili; Xiaojian Xu 002; Ivan W. Selesnick; Ulugbek S. Kamilov (ICIP, 2022)

Monotonically Convergent Regularization by Denoising. - Yuyang Hu; Jiaming Liu 001; Xiaojian Xu 002; Ulugbek S. Kamilov (ICIP, 2022)

Online Deep Equilibrium Learning for Regularization by Denoising. - Jiaming Liu 001; Xiaojian Xu 002; Weijie Gan; Shirin Shoushtari; Ulugbek Kamilov (NeurIPS, 2022)

AWFSD: Accelerated Wirtinger Flow with Score-based Diffusion Image Prior for Poisson-Gaussian Holographic Phase Retrieval. - Zongyu Li; Jason Hu; Xiaojian Xu 002; Liyue Shen; Jeffrey A. Fessler (CoRR, 2023)

Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems. - Jason Hu; Bowen Song; Xiaojian Xu 002; Liyue Shen; Jeffrey A. Fessler (NeurIPS, 2024)

Reconstructing Richtmyer-Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networks. - Daniel A. Serino; Marc Louis Klasky; Balasubramanya T. Nadiga; Xiaojian Xu 002; Trevor Wilcox (CoRR, 2024)

Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction. - Xiaojian Xu 002; Marc Louis Klasky; Michael T. McCann; Jason Hu; Jeffrey A. Fessler (CoRR, 2024)

Constrained Regularization by Denoising With Automatic Parameter Selection. - Pasquale Cascarano; Alessandro Benfenati; Ulugbek S. Kamilov; Xiaojian Xu 002 (IEEE Signal Process. Lett., 2024)

Accelerated Wirtinger Flow With Score-Based Image Priors for Holographic Phase Retrieval in Poisson-Gaussian Noise Conditions. - Zongyu Li; Jason Hu; Xiaojian Xu 002; Liyue Shen; Jeffrey A. Fessler (IEEE Trans. Computational Imaging, 2024)

Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction to ICF Applications. - Xiaojian Xu 002; Marc Louis Klasky; Michael T. McCann; Jason Hu; Jeffrey A. Fessler (IEEE Trans. Computational Imaging, 2025)

CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping. - Xiaojian Xu 002; Weijie Gan; Satya V. V. N. Kothapalli; Dmitriy A. Yablonskiy; Ulugbek S. Kamilov (J. Math. Imaging Vis., 2025)