Kiryung Lee

Orcid: 0000-0003-1909-6041

According to our database1, Kiryung Lee authored at least 59 papers between 2002 and 2024.

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Bibliography

2024
Stable Estimation of Pulses of Unknown Shape From Multiple Snapshots via ESPRIT.
IEEE Trans. Signal Process., 2024

Max-Linear Regression by Convex Programming.
IEEE Trans. Inf. Theory, 2024

Max-Affine Regression via First-Order Methods.
SIAM J. Math. Data Sci., 2024

Variable Selection for Max-Affine Regression via Sparse Gradient Descent.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Small-Noise Sensitivity Analysis of Locating Pulses in the Presence of Adversarial Perturbation.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Sequence of Linear Program for Robust Phase Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Randomly Initialized Alternating Least Squares: Fast Convergence for Matrix Sensing.
SIAM J. Math. Data Sci., September, 2023

Sketching Low-Rank Matrices With a Shared Column Space by Convex Programming.
IEEE J. Sel. Areas Inf. Theory, 2023

Fast max-affine regression via stochastic gradient descent.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022
Identification of Pulse Streams Of Unknown Shape From Time Encoding Machine Samples.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Low-Rank Matrix Estimation from Rank-One Projections by Unlifted Convex Optimization.
SIAM J. Matrix Anal. Appl., 2021

Max-Linear Regression by Scalable and Guaranteed Convex Programming.
CoRR, 2021

Sub-NYQUIST Multichannel Blind Deconvolution.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Identifiability Conditions for Compressive Multichannel Blind Deconvolution.
IEEE Trans. Signal Process., 2020

Convolutional Framework for Accelerated Magnetic Resonance Imaging.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Blind Gain and Phase Calibration via Sparse Spectral Methods.
IEEE Trans. Inf. Theory, 2019

Phase Retrieval of Low-Rank Matrices by Anchored Regression.
CoRR, 2019

Decentralized sketching of low rank matrices.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Near-Optimal Compressed Sensing of a Class of Sparse Low-Rank Matrices Via Sparse Power Factorization.
IEEE Trans. Inf. Theory, 2018

Fast and Guaranteed Blind Multichannel Deconvolution Under a Bilinear System Model.
IEEE Trans. Inf. Theory, 2018

Unified Theory for Recovery of Sparse Signals in a General Transform Domain.
IEEE Trans. Inf. Theory, 2018

Spectral Methods for Passive Imaging: Nonasymptotic Performance and Robustness.
SIAM J. Imaging Sci., 2018

2017
Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation.
IEEE Trans. Inf. Theory, 2017

Identifiability and Stability in Blind Deconvolution Under Minimal Assumptions.
IEEE Trans. Inf. Theory, 2017

Identifiability in Bilinear Inverse Problems With Applications to Subspace or Sparsity-Constrained Blind Gain and Phase Calibration.
IEEE Trans. Inf. Theory, 2017

Blind Recovery of Sparse Signals From Subsampled Convolution.
IEEE Trans. Inf. Theory, 2017

Spectral Methods for Passive Imaging: Non-asymptotic Performance and Robustness.
CoRR, 2017

Performance guarantees of spectral methods for passive sensing of multiple channels.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

2016
Optimal Sample Complexity for Blind Gain and Phase Calibration.
IEEE Trans. Signal Process., 2016

Identifiability in Blind Deconvolution With Subspace or Sparsity Constraints.
IEEE Trans. Inf. Theory, 2016

Optimal sample complexity for stable matrix recovery.
Proceedings of the IEEE International Symposium on Information Theory, 2016

F-DETA: A Framework for Detecting Electricity Theft Attacks in Smart Grids.
Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2016

2015
Identifiability in Blind Deconvolution under Minimal Assumptions.
CoRR, 2015

A Unified Framework for Identifiability Analysis in Bilinear Inverse Problems with Applications to Subspace and Sparsity Models.
CoRR, 2015

RIP-like Properties in Subsampled Blind Deconvolution.
CoRR, 2015

2013
Oblique Pursuits for Compressed Sensing.
IEEE Trans. Inf. Theory, 2013

Corrections to "ADMiRA: Atomic Decomposition for Minimum Rank Approximation".
IEEE Trans. Inf. Theory, 2013

Near Optimal Compressed Sensing of Sparse Rank-One Matrices via Sparse Power Factorization.
CoRR, 2013

Oblique pursuits for compressed sensing with random anisotropic measurements.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012
Efficient and guaranteed algorithms for sparse inverse problems
PhD thesis, 2012

Subspace Methods for Joint Sparse Recovery.
IEEE Trans. Inf. Theory, 2012

2010
ADMiRA: atomic decomposition for minimum rank approximation.
IEEE Trans. Inf. Theory, 2010

iMUSIC: Iterative MUSIC Algorithm for Joint Sparse Recovery with Any Rank
CoRR, 2010

2009
Guaranteed Minimum Rank Approximation from Linear Observations by Nuclear Norm Minimization with an Ellipsoidal Constraint
CoRR, 2009

Efficient and guaranteed rank minimization by atomic decomposition.
Proceedings of the IEEE International Symposium on Information Theory, 2009

2008
Block-Coordinate Gauss-Newton Optimization and Constrained Monotone Regression for Image Registration in the Presence of Outlier Objects.
IEEE Trans. Image Process., 2008

Computing performance guarantees for compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Block-Coordinate Gauss-Newton/regression Method for Image Registration with Efficient Outlier Detection.
Proceedings of the International Conference on Image Processing, 2007

2006
Joint Optimization of Image Registration and Comparametric Exposure Compensation Based on the Lucas-Kanade Algorithm.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Empirical Conditional Mean: Nonparametric Estimator for Comparametric Exposure Compensation.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Joint Optimization of Spatial Registration and Histogram Compensation for Microscopic Images.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Regression-based prediction for blocking artifact reduction in JPEG-compressed images.
IEEE Trans. Image Process., 2005

2004
An asymmetric watermarking system with many embedding watermarks corresponding to one detection watermark.
IEEE Signal Process. Lett., 2004

Transformed-key asymmetric watermarking system.
IEEE Signal Process. Lett., 2004

2003
EM Estimation of Scale Factor for Quantization-Based Audio Watermarking.
Proceedings of the Digital Watermarking, Second International Workshop, 2003

Generation of embedding watermark signals from reference watermark of the detector.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

Amplitude-modification resilient watermarking based on A-law companding.
Proceedings of the 2003 International Conference on Image Processing, 2003

Training sequence size in clustering algorithms and averaging single-particle images.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
A new postprocessing algorithm based on regression functions.
Proceedings of the IEEE International Conference on Acoustics, 2002


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