Xiaojian Xu

According to our database, Xiaojian Xu authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Accelerated Wirtinger Flow With Score-Based Image Priors for Holographic Phase Retrieval in Poisson-Gaussian Noise Conditions.

Zongyu Li, Jason Hu, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler

IEEE Trans. Computational Imaging, 2024

Constrained Regularization by Denoising With Automatic Parameter Selection.

Pasquale Cascarano, Alessandro Benfenati, Ulugbek S. Kamilov, Xiaojian Xu

IEEE Signal Process. Lett., 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, Trevor Wilcox

CoRR, 2024

Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems.

Jason Hu, Bowen Song, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler

CoRR, 2024

2023

AWFSD: Accelerated Wirtinger Flow with Score-based Diffusion Image Prior for Poisson-Gaussian Holographic Phase Retrieval.

Zongyu Li, Jason Hu, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler

CoRR, 2023

2022

CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping.

Xiaojian Xu, Weijie Gan, Satya V. V. N. Kothapalli, Dmitriy A. Yablonskiy, Ulugbek S. Kamilov

CoRR, 2022

Online Deep Equilibrium Learning for Regularization by Denoising.

Jiaming Liu, Xiaojian Xu, Weijie Gan, Shirin Shoushtari, Ulugbek Kamilov

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Monotonically Convergent Regularization by Denoising.

Yuyang Hu, Jiaming Liu, Xiaojian Xu, Ulugbek S. Kamilov

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Bregman Plug-And-Play Priors.

Abdullah H. Al-Shabili, Xiaojian Xu, Ivan W. Selesnick, Ulugbek S. Kamilov

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Scalable Plug-and-Play ADMM With Convergence Guarantees.

Yu Sun, Zihui Wu, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov

IEEE Trans. Computational Imaging, 2021

SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees.

Jiaming Liu, Yu Sun, Weijie Gan, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov

IEEE Trans. Computational Imaging, 2021

Stochastic Deep Unfolding for Imaging Inverse Problems.

Jiaming Liu, Yu Sun, Weijie Gan, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Provable Convergence of Plug-and-Play Priors With MMSE Denoisers.

Xiaojian Xu, Yu Sun, Jiaming Liu, Brendt Wohlberg, Ulugbek S. Kamilov

IEEE Signal Process. Lett., 2020

Robust 3D Tomographic Imaging of the Ionospheric Electron Density.

Xiaojian Xu, Oussama Dhifallah, Hassan Mansour, Petros T. Boufounos, Philip V. Orlik

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Boosting the Performance of Plug-and-Play Priors via Denoiser Scaling.

Xiaojian Xu, Jiaming Liu, Yu Sun, Brendt Wohlberg, Ulugbek S. Kamilov

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

SignProx: One-bit Proximal Algorithm for Nonconvex Stochastic Optimization.

Xiaojian Xu, Ulugbek S. Kamilov

Proceedings of the IEEE International Conference on Acoustics, 2019

Image Restoration Using Total Variation Regularized Deep Image Prior.

Jiaming Liu, Yu Sun, Xiaojian Xu, Ulugbek S. Kamilov

Proceedings of the IEEE International Conference on Acoustics, 2019