Julianne Chung

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James NagyProfessor of Mathematics and Computer Science, Emory UniversityVerified email at emory.edu
Dianne P O'LearyProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Arvind K. SaibabaAssociate Professor, North Carolina State UniversityVerified email at ncsu.edu
Silvia GazzolaDepartment of Mathematical Sciences, University of BathVerified email at bath.ac.uk
Lars RuthottoEmory UniversityVerified email at emory.edu
Malena EspanolArizona State UniversityVerified email at asu.edu
Eldad HaberProfessor of Mathematics and Geophysics UBCVerified email at eoas.ubc.ca
Jiahua JiangUniversity of BirminghamVerified email at bham.ac.uk
Babak Maboudi AfkhamPostdoc, Technical Universtiy of Denmark (DTU)Verified email at dtu.dk
Ioannis SechopoulosRadboud University Medical CenterVerified email at radboudumc.nl
Scot M. MillerJohns Hopkins UniversityVerified email at jhu.edu
Erik WestmanProfessor of Mining and Minerals Engineering, Virginia TechVerified email at vt.edu
David KozakOxford UniversityVerified email at bnc.ox.ac.uk
Misha KilmerTufts UniversityVerified email at tufts.edu
Hodjat PendarVirginia TechVerified email at vt.edu
Elizabeth NewmanAssistant Professor Emory UniversityVerified email at emory.edu
Jake SochaSamuel Herrick Professor, Department of Biomedical Engineering and Mechanics, Virginia TechVerified email at vt.edu
Linh Viet NguyenMathematician and Data Scientist
Zhou YingTongji UniversityVerified email at tongji.edu.cn

Julianne Chung

Emory University

Verified email at emory.edu

numerical linear algebra inverse problems machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A weighted GCV method for Lanczos hybrid regularization J Chung, JG Nagy, DP O’leary Electronic Transactions on Numerical Analysis 28 (149-167), 2008, 2008	245	2008
Numerical methods for coupled super-resolution J Chung, E Haber, J Nagy Inverse Problems 22 (4), 1261, 2006	122	2006
An efficient iterative approach for large-scale separable nonlinear inverse problems J Chung, JG Nagy SIAM Journal on Scientific Computing 31 (6), 4654-4674, 2010	71	2010
A hybrid LSMR algorithm for large-scale Tikhonov regularization J Chung, K Palmer SIAM Journal on Scientific Computing 37 (5), S562-S580, 2015	39	2015
Learning regularization parameters of inverse problems via deep neural networks BM Afkham, J Chung, M Chung Inverse Problems 37 (10), 105017, 2021	38	2021
Efficient generalized Golub–Kahan based methods for dynamic inverse problems J Chung, AK Saibaba, M Brown, E Westman Inverse Problems 34 (2), 024005, 2018	38	2018
Flexible Krylov Methods for Regularization J Chung, S Gazzola SIAM Journal on Scientific Computing 41 (5), S149-S171, 2019	37	2019
Generalized hybrid iterative methods for large-scale Bayesian inverse problems J Chung, AK Saibaba SIAM Journal on Scientific Computing 39 (5), S24-S46, 2017	37	2017
Numerical algorithms for polyenergetic digital breast tomosynthesis reconstruction J Chung, JG Nagy, I Sechopoulos SIAM Journal on Imaging Sciences 3 (1), 133-152, 2010	35	2010
Large-Scale Inverse Problems in Imaging. J Chung, S Knepper, JG Nagy Handbook of Mathematical Methods in Imaging 1, 2015	34	2015
Designing optimal spectral filters for inverse problems J Chung, M Chung, DP O'Leary SIAM Journal on Scientific Computing 33 (6), 3132-3152, 2011	34	2011
Learning regularization parameters for general-form Tikhonov J Chung, MI Español Inverse Problems 33 (7), 074004, 2017	31	2017
High-resolution iris image reconstruction from low-resolution imagery R Barnard, VP Pauca, TC Torgersen, RJ Plemmons, S Prasad, ... Advanced Signal Processing Algorithms, Architectures, and Implementations …, 2006	31	2006
Motion estimation and correction in photoacoustic tomographic reconstruction J Chung, L Nguyen SIAM Journal on Imaging Sciences 10 (1), 216-242, 2017	30	2017
Sampled Tikhonov regularization for large linear inverse problems JT Slagel, J Chung, M Chung, D Kozak, L Tenorio Inverse Problems 35 (11), 114008, 2019	26	2019
Computational methods for large-scale inverse problems: a survey on hybrid projection methods J Chung, S Gazzola arXiv preprint arXiv:2105.07221, 2021	24	2021
Optimal experimental design for inverse problems with state constraints L Ruthotto, J Chung, M Chung SIAM Journal on Scientific Computing 40 (4), B1080-B1100, 2018	24	2018
Optimal regularization parameters for general-form Tikhonov regularization J Chung, MI Español, T Nguyen arXiv preprint arXiv:1407.1911, 2014	21	2014
Optimal regularized low rank inverse approximation J Chung, M Chung, DP O'Leary Linear Algebra and its Applications 468, 260-269, 2015	20	2015
A framework for regularization via operator approximation JM Chung, ME Kilmer, DP O'Leary SIAM Journal on Scientific Computing 37 (2), B332-B359, 2015	20	2015

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