Efficient and accurate inversion of multiple scattering with deep learning. - Yu Sun 022; Zhihao Xia; Ulugbek S. Kamilov (CoRR, 2018)

Stability of Scattering Decoder For Nonlinear Diffractive Imaging. - Yu Sun 022; Ulugbek S. Kamilov (CoRR, 2018)

Plug-In Stochastic Gradient Method. - Yu Sun 022; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2018)

Regularized Fourier Ptychography Using an Online Plug-and-play Algorithm. - Yu Sun 022; Shiqi Xu; Yunzhe Li 002; Lei Tian 005; Brendt Wohlberg; Ulugbek S. Kamilov (ICASSP, 2019)

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

Online Regularization by Denoising with Applications to Phase Retrieval. - Zihui Wu; Yu Sun 022; Jiaming Liu 001; Ulugbek Kamilov (ICCV Workshops, 2019)

Infusing Learned Priors into Model-Based Multispectral Imaging. - Jiaming Liu 001; Yu Sun 022; Ulugbek S. Kamilov (CoRR, 2019)

An Online Plug-and-Play Algorithm for Regularized Image Reconstruction. - Yu Sun 022; Brendt Wohlberg; Ulugbek S. Kamilov (IEEE Trans. Computational Imaging, 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)

Scalable Plug-and-Play ADMM with Convergence Guarantees. - Yu Sun 022; Zihui Wu; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2020)

Joint Reconstruction and Calibration using Regularization by Denoising. - Mingyang Xie; Yu Sun 022; Jiaming Liu 001; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2020)

RARE: Image Reconstruction Using Deep Priors Learned Without Groundtruth. - Jiaming Liu 001; Yu Sun 022; Cihat Eldeniz; Weijie Gan; Hongyu An; Ulugbek S. Kamilov (IEEE J. Sel. Top. Signal Process., 2020)

SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors. - Zihui Wu; Yu Sun 022; Alex Matlock; Jiaming Liu 001; Lei Tian 005; Ulugbek S. Kamilov (IEEE J. Sel. Top. Signal Process., 2020)

A New Recurrent Plug-and-Play Prior Based on the Multiple Self-Similarity Network. - Guangxiao Song; Yu Sun 022; Jiaming Liu 001; Zhijie Wang 001; Ulugbek S. Kamilov (IEEE Signal Process. Lett., 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)

Block Coordinate Regularization by Denoising. - Yu Sun 022; Jiaming Liu 001; Ulugbek S. Kamilov (IEEE Trans. Computational Imaging, 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)

Joint Reconstruction and Calibration Using Regularization by Denoising with Application to Computed Tomography. - Mingyang Xie; Jiaming Liu 001; Yu Sun 022; Weijie Gan; Brendt Wohlberg; Ulugbek S. Kamilov (ICCVW, 2021)

Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors. - Yu Sun 022; Jiaming Liu 001; Yiran Sun; Brendt Wohlberg; Ulugbek Kamilov (ICLR, 2021)

Deep Image Reconstruction Using Unregistered Measurements Without Groundtruth. - Weijie Gan; Yu Sun 022; Cihat Eldeniz; Jiaming Liu 001; Hongyu An; Ulugbek S. Kamilov (ISBI, 2021)

MoDIR: Motion-Compensated Training for Deep Image Reconstruction without Ground Truth. - Weijie Gan; Yu Sun 022; Cihat Eldeniz; Jiaming Liu 001; Hongyu An; Ulugbek S. Kamilov (CoRR, 2021)

Zero-Shot Learning of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements. - Renhao Liu; Yu Sun 022; Jiabei Zhu; Lei Tian 005; Ulugbek Kamilov (CoRR, 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)

CoIL: Coordinate-Based Internal Learning for Tomographic Imaging. - Yu Sun 022; Jiaming Liu 001; Mingyang Xie; 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)

Learning Cross-Video Neural Representations for High-Quality Frame Interpolation. - Wentao Shangguan; Yu Sun 022; Weijie Gan; Ulugbek S. Kamilov (ECCV (15), 2022)

Deformation-Compensated Learning for Image Reconstruction Without Ground Truth. - Weijie Gan; Yu Sun 022; Cihat Eldeniz; Jiaming Liu 001; Hongyu An; Ulugbek S. Kamilov (IEEE Trans. Medical Imaging, 2022)

Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields. - Renhao Liu; Yu Sun 022; Jiabei Zhu; Lei Tian 005; Ulugbek S. Kamilov (Nat. Mac. Intell., 2022)

Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach. - Paul Goyes-Peñafiel; Edwin Vargas; Claudia V. Correa P.; Yu Sun 022; Ulugbek S. Kamilov; Brendt Wohlberg; Henry Arguello (IEEE Trans. Geosci. Remote. Sens., 2023)

Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors. - Zihui Wu; Yu Sun 022; Yifan Chen; Bingliang Zhang; Yisong Yue; Katherine L. Bouman (NeurIPS, 2024)

Provable Probabilistic Imaging Using Score-Based Generative Priors. - Yu Sun 022; Zihui Wu; Yifan Chen; Berthy T. Feng; Katherine L. Bouman (IEEE Trans. Computational Imaging, 2024)

Learning Task-Specific Strategies for Accelerated MRI. - Zihui Wu; Tianwei Yin; Yu Sun 022; Robert Frost; André J. W. van der Kouwe; Adrian V. Dalca; Katherine L. Bouman (IEEE Trans. Computational Imaging, 2024)

InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences. - Hongkai Zheng; Wenda Chu; Bingliang Zhang; Zihui Wu; Austin Wang; Berthy Feng; Caifeng Zou; Yu Sun 022; Nikola Borislavov Kovachki; Zachary E. Ross; Katherine L. Bouman; Yisong Yue (ICLR, 2025)