Seuraa
Yanjun Li
Yanjun Li
Algorithm Engineer, Apple Inc.
Vahvistettu sähköpostiosoite verkkotunnuksessa illinois.edu
Nimike
Viittaukset
Viittaukset
Vuosi
Identifiability in blind deconvolution with subspace or sparsity constraints
Y Li, K Lee, Y Bresler
IEEE Transactions on information Theory 62 (7), 4266-4275, 2016
842016
Blind recovery of sparse signals from subsampled convolution
K Lee, Y Li, M Junge, Y Bresler
IEEE Transactions on Information Theory 63 (2), 802-821, 2016
772016
Identifiability in Bilinear Inverse Problems With Applications to Subspace or Sparsity-Constrained Blind Gain and Phase Calibration
Y Li, K Lee, Y Bresler
IEEE Transactions on Information Theory 63 (2), 822 - 842, 2016
68*2016
When sparsity meets low-rankness: Transform learning with non-local low-rank constraint for image restoration
B Wen, Y Li, Y Bresler
2017 IEEE international conference on acoustics, speech and signal …, 2017
582017
Joint adaptive sparsity and low-rankness on the fly: An online tensor reconstruction scheme for video denoising
B Wen, Y Li, L Pfister, Y Bresler
Proceedings of the IEEE international conference on computer vision, 241-250, 2017
532017
Image recovery via transform learning and low-rank modeling: The power of complementary regularizers
B Wen, Y Li, Y Bresler
IEEE Transactions on Image Processing 29, 5310-5323, 2020
452020
Global geometry of multichannel sparse blind deconvolution on the sphere
Y Li, Y Bresler
Advances in Neural Information Processing Systems 31, 2018
432018
Identifiability and Stability in Blind Deconvolution under Minimal Assumptions
Y Li, K Lee, Y Bresler
arXiv preprint arXiv:1507.01308, 2015
322015
Optimal sample complexity for blind gain and phase calibration
Y Li, K Lee, Y Bresler
IEEE Transactions on Signal Processing 64 (21), 5549-5556, 2016
242016
Blind gain and phase calibration via sparse spectral methods
Y Li, K Lee, Y Bresler
IEEE Transactions on Information Theory 65 (5), 3097-3123, 2018
232018
Stability in blind deconvolution of sparse signals and reconstruction by alternating minimization
K Lee, Y Li, M Junge, Y Bresler
2015 International Conference on Sampling Theory and Applications (SampTA …, 2015
212015
Blind gain and phase calibration for low-dimensional or sparse signal sensing via power iteration
Y Li, K Lee, Y Bresler
2017 International Conference on Sampling Theory and Applications (SampTA …, 2017
152017
Multichannel sparse blind deconvolution on the sphere
Y Li, Y Bresler
IEEE Transactions on Information Theory 65 (11), 7415-7436, 2019
142019
Learning adaptive random features
Y Li, K Zhang, J Wang, S Kumar
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4229-4236, 2019
122019
The power of complementary regularizers: Image recovery via transform learning and low-rank modeling
B Wen, Y Li, Y Bresler
arXiv preprint arXiv:1808.01316, 2018
122018
Unified theory for recovery of sparse signals in a general transform domain
K Lee, Y Li, KH Jin, JC Ye
IEEE Transactions on Information Theory 64 (8), 5457-5477, 2018
72018
A set-theoretic study of the relationships of image models and priors for restoration problems
B Wen, Y Li, Y Li, Y Bresler
arXiv preprint arXiv:2003.12985, 2020
62020
Bilinear inverse problems with sparsity: optimal identifiability conditions and efficient recovery
Y Li
University of Illinois at Urbana-Champaign, 2018
42018
Optimal sample complexity for stable matrix recovery
Y Li, K Lee, Y Bresler
2016 IEEE International Symposium on Information Theory (ISIT), 81-85, 2016
32016
Uniqueness in bilinear inverse problems with applications to subspace and joint sparsity models
Y Li, K Lee, Y Bresler
2015 International Conference on Sampling Theory and Applications (SampTA …, 2015
32015
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