Publications

Preprints
  • Y. Li, K. Lee, and Y. Bresler, “Blind gain and phase calibration via sparse spectral methods,” submitted to IEEE Transactions on Information Theory, arXiv:1712.00111.
  • M. Junge and K. Lee “Generalized notions of sparsity and restricted isometry property. Part II: Applications,” submitted to Journal of Fourier Analysis and Applications, arXiv:1706.09411.
  • M. Junge and K. Lee, “RIP-like properties in subsampled blind deconvolution,” arXiv:1511.06146.
Journal Papers
  • M. Junge and K. Lee “Generalized notions of sparsity and restricted isometry property. Part I: A unified framework,” accepted to Information and Inference, arXiv:1706.09410.
  • K. Lee, F. Krahmer, and J. Romberg, “Spectral methods for passive imaging: Non-asymptotic performance and robustness,” accepted to SIAM Journal of Imaging Science, arXiv:1708.04343.
  • K. Lee, Y. Li, K.H. Jin, and J.C. Ye, “Unified theory for recovery of sparse signals in a general transform domain,” IEEE Transactions on Information Theory 64, no. 8 (2018): 5457-5477.
  • K. Lee, N. Tian, and J. Romberg, “Fast and guaranteed blind multichannel deconvolution under a bilinear system model,” IEEE Transactions on Information Theory 64, no. 7 (2018): 4792-4818.
  • K. Lee, Y. Wu, and Y. Bresler, “Near optimal compressed sensing of a class of sparse low-rank matrices via sparse power factorization,” IEEE Transactions on Information Theory 64, no. 3 (2018): 1666-1698.
  • Y. Li, K. Lee, and Y. Bresler, “Identifiability and stability in blind deconvolution under minimal assumptions,” IEEE Transactions on Information Theory 63, no. 7 (2017): 4619-4633.
  • Y. Li, K. Lee, and Y. Bresler, “Identifiability in bilinear inverse problems with applications to subspace or sparsity-constrained blind gain and phase calibration,” IEEE Transactions on Information Theory 63, no. 2 (2017): 822-842.
  • K. Lee, Y. Li, M. Junge, and Y. Bresler, “Blind recovery of sparse signals from subsampled convolution,” IEEE Transactions on Information Theory 63, no. 2 (2017): 802-821.
  • J.C. Ye, J.M. Kim, K.H. Jin, and K. Lee, “Compressive sampling using annihilating filter-based low rank interpolation,” IEEE Transactions on Information Theory 63, no. 2 (2017): 777-801.
  • Y. Li, K. Lee, and Y. Bresler, “Optimal sample complexity for blind gain and phase calibration,” IEEE Transactions on Signal Processing 64, no. 21 (2016): 5549-5556.
  • Y. Li, K. Lee, and Y. Bresler, “Identifiability in blind deconvolution with subspace or sparsity constraints,” IEEE Transactions on Information Theory 62, no. 7 (2016): 1-10.
  • K. Lee, Y. Bresler, and M. Junge, “Oblique pursuits for compressed sensing,” IEEE Transactions on Information Theory 59, no. 9 (2013): 6111-6141.
  • K. Lee, Y. Bresler, and M. Junge, “Subspace methods for joint sparse recovery,” IEEE Transactions on Information Theory 58, no. 6 (2012): 3613-3641.
  • K. Lee and Y. Bresler, “ADMiRA: Atomic decomposition for minimum rank approximation,” IEEE Transactions on Information Theory 56, no. 9 (2010): 4402-4416. (Correction: IEEE Transactions on Information Theory 59, no.7 (2013): 4730-4732.)
  • D.S. Kim and K. Lee, “Block-coordinate Gauss-Newton optimization and constrained monotone regression for image registration in the presence of outlier objects,” IEEE Transactions on Image Processing 17, no. 5 (2008): 798-810.
  • K. Lee, D.S. Kim, and T. Kim, “Regression-based prediction for blocking artifact reduction in JPEG compressed images,” IEEE Transactions on Image Processing 14, no. 1 (2005): 36-48.
  • T.Y. Kim, H. Choi, K. Lee, and T. Kim, “An asymmetric watermarking system with many embedding watermarks corresponding to one detection watermark,” IEEE Signal Processing Letters 11, no. 3 (2004): 375-377.
  • H. Choi, K. Lee, and T. Kim, “Transformed-key asymmetric watermarking system,” IEEE Signal Processing Letters 11 no. 2 (2004): 251-254.
  • J.L. Kim, K. Lee, and T. Kim, “Adaptive reconstruction for embedded quantisation,” IEE Electronics Letters 38, no. 18 (2002): 1065-1067.

Conference Papers

  • K. Lee, F. Krahmer, and J. Romberg, “An eigen approach to stable multichannel blind deconvolution under an FIR subspace model,” Proceedings of to 12th International Conference on Sampling Theory and Applications (SampTA).
  • Y. Li, K. Lee, and Y. Bresler, “Blind gain and phase calibration for low-dimensional or sparse signal sensing via power iteration,” Proceedings of the 12th International Conference on Sampling Theory and Applications (SampTA).
  • Y. Li, K. Lee, and Y. Bresler, “Blind deconvolution with sparsity: optimal identifiabiliy conditions and efficient recovery,” Asilomar Conf. Signals, Systems, and Computers, 2016.
  • Y. Li, K. Lee, and Y. Bresler, “Optimal sample complexity for stable matrix recovery,” in IEEE International Symposium on Information Theory (ISIT), Barcelona, Spain, Jul., 2016.
  • V. B. Krishna, K. Lee, G. A. Weaver, R. K. Iyer, W. H. Sanders, “F-DETA: A framework for detecting electricity theft attacks in smart grids,” in 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2016.
  • Y. Li, K. Lee, and Y. Bresler, “Identifiability of blind deconvolution with subspace or sparsity constraints,” in Signal Processing with Adaptive Sparse Structured Representations (SPARS) 2015 (best student paper award).
  • K. Lee, Y. Li, M. Junge, and Y. Bresler, “Stability in blind deconvolution of sparse signals and reconstruction by alternating minimization,” in 11th International Conference on Sampling Theory and Applications (SampTA), 2015.
  • Y. Li, K. Lee, and Y. Bresler, “Uniqueness in bilinear inverse problems with applications to subspace and joint sparsity models”, in 11th International Conference on Sampling Theory and Application (SampTA), 2015.
  • K. Lee, Y. Bresler, and M. Junge, “Oblique pursuits for compressed sensing with random anisotropic measurements,” in IEEE International Symposium on Information Theory (ISIT), Istanbul, Turkey, Jul. 2013.
  • K. Lee and Y. Bresler, “Subspace-augmented MUSIC for joint sparse recovery with any rank,” in Sensor Array and Multichannel Signal Processing Workshop (SAM), Israel, Oct. 2010.
  • K. Lee and Y. Bresler, “Efficient and guaranteed rank minimization by atomic decomposition,” in IEEE International Symposium on Information Theory (ISIT), Seoul, Korea, Jun. 2009.
  • K. Lee and Y. Bresler, “Computing performance guarantees for compressed sensing,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Las Vegas, NV, Apr. 2008.
  • D.S. Kim and K. Lee, “Constrained monotone regression and outlier detection for searching occlusion objects,” in Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2007.
  • D.S. Kim and K. Lee, “Block-coordinate Gauss-Newton regression method for image registration with efficient outlier detection,” in International Conference on Image Processing (ICIP), San Antonio, TX, Sep. 2007.
  • D.S. Kim, K. Lee, K.E. Lee, S.S. Han, “Joint optimization of spatial registration and histogram compensation for microscopic images,” in IEEE Engineering in Medicine and Biology Society (EMBS), New York City, Aug. 2006.
  • M. Boutin, K. Lee, and M. Comer, “Lossless shape representation using invariant statistics: the case of point-sets,” in Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Oct. 2006.
  • D.S. Kim, S.Y. Lee, and K. Lee, “Joint optimization of image registration and comparametric exposure compensation based on the Lucas-Kanade algorithm,” in International Conference on Pattern Recognition, Hong Kong, Aug. 2006.
  • D.S. Kim, S.Y. Lee, and K. Lee, “Empirical conditional mean: nonparametric estimator for comparametric Exposure Compensation,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toulouse, France, May 2006.
  • K. Lee, D.S. Kim, T. Kim, and K.A. Moon, “EM estimation of scale factor for quantization-based audio watermarking,” in International Workshop on Digital-forensics and Watermarking, Seoul, Korea, Oct. 2003 (best paper award).
  • T.Y. Kim, T. Kim, and K. Lee, “Generation of embedding watermark signals from reference watermark of the detector,” in IEEE International Symposium on Circuits and Systems (ISCAS), Bangkok, Thailand, May 2003.
  • K. Lee, D.S. Kim, and K.A. Moon, “Amplitude-modification resilient watermarking based on A-law companding,” in International Conference on Image Processing (ICIP), Barcelona, Spain, Sep. 2003.
  • D.S. Kim and K. Lee, “Training sequence size in clustering algorithms and averaging single-particle images,” in International Conference on Image Processing (ICIP), Barcelona, Spain, Sep. 2003
  • K. Lee, D.S. Kim, and T. Kim, “A new postprocessing algorithm based on regression functions,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Orlando, FL, May 2002.

Technical Report

  • K. Lee, E. Yarkony, and Y. Bresler, “Subsampled multichannel blind deconvolution using sparse power factorization,” CSL Technical Report UILU-ENG-13-2207, University of Illinois, Sep. 2013.

Patents & Applications

  • Y. Hwang, K. Lee, K.A. Moon, M.J. Kim, “Method of designing watermark in consideration of Wiener attack and whitening filtered detection,” US patent 7076081.
  • J.C. Ye, J.M. Kim, O.K. Lee, Y. Bresler, and K. Lee, “Method and apparatus for compressed sensing with joint sparsity,” US patent application, 20120259590.
  • K. Lee, D.S. Kim, K.A. Moon, Y.H. Suh, “Amplitude-scaling resilient audio watermarking method and apparatus based on quantization,” US patent application 20050043830.
  • K. Lee, D.S. Kim, K.A. Moon, “Apparatus and method for digital watermarking using nonlinear quantization,” US patent application 20050137876.