Working Papers

• K. Lee and M. Junge, “Restricted angle-preserving properties with geometric constraints”.
• K. Lee, Y. Li, M. Junge, and Y. Bresler, “Recovery of sparse signals from sub-sampled convolution”.
• Y. Li, K. Lee, and Y. Bresler, “Identifiability in blind deconvolution with subspace or sparsity constraints”.
• M. Junge and K. Lee, “Restricted isometry property in Banach spaces”.

Preprints

• Y. Li, K. Lee, and Y. Bresler, “A unified framework for identifiability analysis in bilinear inverse problems with applications to subspace and sparsity models,” arXiv preprint arXiv:1501.06120.
• K. Lee, Y. Wu, and Y. Bresler, “Near optimal compressed sensing of sparse rank-one matrices via sparse power factorization,” arXiv preprint arXiv:1312.0525.

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.

Journal Papers

• K. Lee, Y. Bresler, and M. Junge, “Oblique pursuits for compressed sensing,” IEEE Transactions on Information Theory, vol. 59, no. 9, pp. 6111-6141, Sep. 2013.
• K. Lee, Y. Bresler, and M. Junge, “Subspace methods for joint sparse recovery,” IEEE Transactions on Information Theory, vol. 58, no. 6, pp. 3613-3641, Jun. 2012.
• K. Lee and Y. Bresler, “ADMiRA: Atomic decomposition for minimum rank approximation,” IEEE Transactions on Information Theory, vol. 56, no. 9, pp. 4402-4416, Sep. 2010. (Correction: IEEE Transactions on Information Theory, vol. 59, no.7, pp. 4730-4732, Jul. 2013.)
• 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, vol. 17, no. 5, pp. 798-810, May 2008.
• K. Lee, D.S. Kim, and T. Kim, “Regression-based prediction for blocking artifact reduction in JPEG-compressed images,” IEEE Transactions on Image Processing, vol. 14, no. 1, pp. 36-48, Jan 2005.
• 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, vol. 11, no. 3, pp. 375-377, Mar. 2004.
• H. Choi, K. Lee, and T. Kim, “Transformed-key asymmetric watermarking system,” IEEE Signal Processing Letters, Vol. 11, Issue 2, pp. 251–254, Feb. 2004.
• J.L. Kim, K. Lee, and T. Kim, “Adaptive reconstruction for embedded quantisation,” IEE Electronics Letters, Vol. 38, Issue 18, pp. 1065–1067, Aug. 2002.

Conference Papers

• K. Lee, Y. Li, M. Junge, and Y. Bresler, “Stability in blind deconvolution of sparse signals and reconstruction by alternating minimization,” will appear in SampTA, 2015.
• Y. Li, K. Lee, and Y. Bresler, “Uniqueness in bilinear inverse problems with applications to subspace and joint sparsity models”, will appear in SampTA, 2015.
• Y. Li, K. Lee, and Y. Bresler, “Identifiability of blind deconvolution with subspace or sparsity constraints”, will appear in SPARS 2015.
• K. Lee, Y. Bresler, and M. Junge, “Oblique pursuits for compressed sensing with random anisotropic measurements,” in Proc. ISIT, Istanbul, Turkey, Jul. 2013.
• K. Lee and Y. Bresler, “Subspace-augmented MUSIC for joint sparse recovery with any rank,” in Proc. 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 Proc. ISIT, Seoul, Korea, Jun. 2009.
• K. Lee and Y. Bresler, “Computing performance guarantees for compressed sensing,” in Proc. ICASSP, Las Vegas, NV, Apr. 2008.
• D.S. Kim and K. Lee, “Constrained monotone regression and outlier detection for searching occlusion objects,” in Proc. ACSSC, 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 Proc. 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 Proc. 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 Proc. ACSSC, 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 Proc. ICPR, Hong Kong, Aug. 2006.
• D.S. Kim, S.Y. Lee, and K. Lee, “Empirical conditional mean: nonparametric estimator for comparametric Exposure Compensation,” in Proc. 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 Proc. IWDW, 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 Proc. ISCAS, Bangkok, Thailand, May 2003.
• K. Lee, D.S. Kim, and K.A. Moon, “Amplitude-modification resilient watermarking based on A-law companding,” in Proc. ICIP, Barcelona, Spain, Sep. 2003.
• D.S. Kim and K. Lee, “Training sequence size in clustering algorithms and averaging single-particle images,” in Proc. ICIP, Barcelona, Spain, Sep. 2003
• K. Lee, D.S. Kim, and T. Kim, “A new postprocessing algorithm based on regression functions,” in Proc. ICASSP, Orlando, FL, May 2002.

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.