Publications – Hopkins Computational Imaging

PUBLICATIONS

InverseBench: Benchmarking Plug-and-Play Diffusion Models for Scientific Inverse Problems

Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy Feng, Caifeng Zou, Yu Sun, Nikola B. Kovachki, Zachary E. Ross, Yisong Yue, Katie L. Bouman

ICLR 2025 (Spotlight)

Principled probabilistic imaging using diffusion models as plug-and-play priors

Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman

NeurIPS 2024

Provable probabilistic imaging using score-based generative priors

Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katherine L. Bouman

IEEE Trans. Comput. Imaging

Learning Task-Specific Strategies for Accelerated MRI

Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, Andre van der Kouwe, Adrian V. Dalca, Katie L. Bouman

IEEE Trans. Comput. Imaging

Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach

Paul Goyes-Peñafiel, Edwin Vargas, Claudia V. Correa, Yu Sun, U. S. Kamilov Brendt Wohlberg, Henry Arguello

IEEE Trans. Geosci. Remote Sens.

Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields

Renhao Liu*, Yu Sun*, Jiabei Zhu, Lei Tian, U. S. Kamilov

Nature Machine Intelligence

CURE: Learning Cross-Video Neural Representations for High-Quality Frame Interpolation

Wentao Shangguan*, Yu Sun*, Weijie Gan, U. S. Kamilov

ECCV 2022

Deformation-Compensated Learning for Image Reconstruction without Ground Truth

Weijie Gan, Yu Sun, Cihat Eldeniz, Jiaming Liu, Hongyu An, U. S. Kamilov

IEEE Trans. Med. Imaging | ISBI 2021

CoIL: Coordinate-based Internal Learning for Tomographic Imaging

Yu Sun, Jiaming Liu, Mingyang Xie, Brendt Wohlberg, U. S. Kamilov

IEEE Trans. Comput. Imaging

SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees

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

IEEE Trans. Comput. Imaging | ICASSP 2021

Joint Reconstruction and Calibration using Regularization by Denoising

Mingyang Xie*, Jiaming Liu*, Yu Sun, Brendt Wohlberg, U. S. Kamilov

ICCV Workshop 2021

Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors

Yu Sun, Jiaming Liu, Brendt Wohlberg, U. S. Kamilov

ICLR 2021 (Spotlight)

Scalable Plug-and-Play ADMM with Convergence Guarantees

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

IEEE Trans. Comput. Imaging

A New Recurrent Plug-and-Play Prior Based on the Multiple Self-Similarity Network

Guangxiao Song, Yu Sun, Jiaming Liu,, Zhijie Wang, U. S. Kamilov

IEEE Signal Proc. Letter

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

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

IEEE Signal Proc. Letter

SIMBA: Scalable Inversion in Optical Tomography using Deep Denoising Priors

Zihui Wu, Yu Sun, Alex Matlock, Jiaming Liu, Lei Tian, U. S. Kamilov

IEEE Jour. Select. Topics Signal Proc.

RARE: Image reconstruction using deep priors learned without groundtruth

Jiaming Liu, Yu Sun, Cihat Eldeniz, Weijie Gan, Hongyu An, U. S. Kamilov

IEEE Jour. Select. Topics Signal Proc.

Deep learning using a biophysical model for Robust and Accelerated Reconstruction (RoAR) of quantitative and artifact-free R2* images

Max Torop, Satya Kothapalli, Yu Sun, Jiaming Liu, Sayan Kahali, Dmitriy A Yablonskiy, U. S. Kamilov

Magnetic Resonance in Medicine

Online Regularization by Denoising with Applications to Phase Retrieval

Zihui Wu, Yu Sun, Jiaming Liu, U. S. Kamilov

ICCV Workshop 2019

Image Restoration Using Total Variation Regularized Deep Image Prior

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

ICASSP 2019

Regularized Fourier ptychography using an online plug-and-play algorithm

Yu Sun, Brendt Wohlberg, U. S. Kamilov

ICASSP 2019 (Oral)

An online Plug-and-play algorithm for regularized image reconstruction

Yu Sun, Brendt Wohlberg, U. S. Kamilov

IEEE Trans. Comput. Imaging

Block Coordinate Regularization by Denoising

Yu Sun, Jiaming Liu, U. S. Kamilov

IEEE Trans. Comput. Imaging | NeurIPS 2019

Efficient and accurate inversion of multiple scattering with deep learning

Yu Sun, Zhihao Xia, U. S. Kamilov

Optics Express | ITWIST 2019

© Copyright 2025 Hopkins Computational Imaging

Electrical and Computer Engineering
Department

3400 North Charles Street
Baltimore, MD 21218