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ORCIDYanjun Li 0001
Person information
- affiliation: University of Illinois at Urbana-Champaign, USA
Other persons with the same name
- Yanjun Li (aka: Yan-jun Li, Yan-Jun Li) — disambiguation page
- Yanjun Li 0003
![[0000-0002-6640-1195]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6640-1195")
— Florida Atlantic University, Boca Raton, FL, USA - Yanjun Li 0004 (aka: Yan-Jun Li 0004) — Zhejiang University of Technology, School of Computer Science and Technology, Hangzhou, China (and 1 more)
- Yanjun Li 0005 — University of Florida, Gainesville, FL, USA (and 1 more)
- Yanjun Li 0006 — Fort Hays State University, Hays, USA
Other persons with a similar name
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2020 – today
- 2021
[i13]Yanjun Li, Bihan Wen, Hao Cheng, Yoram Bresler:
Joint Dimensionality Reduction for Separable Embedding Estimation. CoRR abs/2101.05500 (2021)- 2020
- [j9]Bihan Wen, Yanjun Li, Yoram Bresler:
Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers. IEEE Trans. Image Process. 29: 5310-5323 (2020) - [i12]Bihan Wen, Yanjun Li, Yuqi Li, Yoram Bresler:
A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems. CoRR abs/2003.12985 (2020)
2010 – 2019
- 2019
- [j8]Yanjun Li, Kiryung Lee, Yoram Bresler:
Blind Gain and Phase Calibration via Sparse Spectral Methods. IEEE Trans. Inf. Theory 65(5): 3097-3123 (2019) - [j7]Yanjun Li, Yoram Bresler:
Multichannel Sparse Blind Deconvolution on the Sphere. IEEE Trans. Inf. Theory 65(11): 7415-7436 (2019) - [c5]Yanjun Li, Yoram Bresler:
Multichannel Sparse Blind Deconvolution on the Sphere. ICASSP 2019: 7943-7947 - 2018
- [b1]Yanjun Li:
Bilinear inverse problems with sparsity: Optimal identifiability conditions and efficient recovery. University of Illinois Urbana-Champaign, USA, 2018 - [j6]Kiryung Lee, Yanjun Li, Kyong Hwan Jin, Jong Chul Ye:
Unified Theory for Recovery of Sparse Signals in a General Transform Domain. IEEE Trans. Inf. Theory 64(8): 5457-5477 (2018) - [c4]Yanjun Li, Yoram Bresler:
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere. NeurIPS 2018: 1140-1151 - [i11]Yanjun Li, Yoram Bresler:
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere. CoRR abs/1805.10437 (2018) - [i10]Bihan Wen, Yanjun Li, Yoram Bresler:
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling. CoRR abs/1808.01316 (2018) - 2017
- [j5]Kiryung Lee, Yanjun Li, Marius Junge, Yoram Bresler:
Blind Recovery of Sparse Signals From Subsampled Convolution. IEEE Trans. Inf. Theory 63(2): 802-821 (2017) - [j4]Yanjun Li, Kiryung Lee, Yoram Bresler:
Identifiability in Bilinear Inverse Problems With Applications to Subspace or Sparsity-Constrained Blind Gain and Phase Calibration. IEEE Trans. Inf. Theory 63(2): 822-842 (2017) - [j3]Yanjun Li, Kiryung Lee, Yoram Bresler:
Identifiability and Stability in Blind Deconvolution Under Minimal Assumptions. IEEE Trans. Inf. Theory 63(7): 4619-4633 (2017) - [c3]Bihan Wen, Yanjun Li, Yoram Bresler:
When sparsity meets low-rankness: Transform learning with non-local low-rank constraint for image restoration. ICASSP 2017: 2297-2301 - [c2]Bihan Wen, Yanjun Li, Luke Pfister, Yoram Bresler:
Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising. ICCV 2017: 241-250 - [i9]Yanjun Li, Kiryung Lee, Yoram Bresler:
Blind Gain and Phase Calibration via Sparse Spectral Methods. CoRR abs/1712.00111 (2017) - 2016
- [j2]Yanjun Li, Kiryung Lee, Yoram Bresler:
Identifiability in Blind Deconvolution With Subspace or Sparsity Constraints. IEEE Trans. Inf. Theory 62(7): 4266-4275 (2016) - [j1]Yanjun Li, Kiryung Lee, Yoram Bresler:
Optimal Sample Complexity for Blind Gain and Phase Calibration. IEEE Trans. Signal Process. 64(21): 5549-5556 (2016) - [c1]Yanjun Li, Kiryung Lee, Yoram Bresler:
Optimal sample complexity for stable matrix recovery. ISIT 2016: 81-85 - [i8]Yanjun Li, Kiryung Lee, Yoram Bresler:
Optimal Sample Complexity for Stable Matrix Recovery. CoRR abs/1602.04396 (2016) - [i7]Yanjun Li, Yoram Bresler:
Dimensionality Reduction for Nonlinear Regression with Two Predictor Vectors. CoRR abs/1602.04398 (2016) - [i6]Kiryung Lee, Yanjun Li, Kyong Hwan Jin, Jong Chul Ye:
Unified Theory for Recovery of Sparse Signals in a General Transform Domain. CoRR abs/1612.09565 (2016) - 2015
- [i5]Yanjun Li, Kiryung Lee, Yoram Bresler:
A Unified Framework for Identifiability Analysis in Bilinear Inverse Problems with Applications to Subspace and Sparsity Models. CoRR abs/1501.06120 (2015) - [i4]Yanjun Li, Kiryung Lee, Yoram Bresler:
Identifiability in Blind Deconvolution with Subspace or Sparsity Constraints. CoRR abs/1505.03399 (2015) - [i3]Yanjun Li, Kiryung Lee, Yoram Bresler:
Identifiability in Blind Deconvolution under Minimal Assumptions. CoRR abs/1507.01308 (2015) - [i2]Kiryung Lee, Yanjun Li, Marius Junge, Yoram Bresler:
Blind Recovery of Sparse Signals from Subsampled Convolution. CoRR abs/1511.06149 (2015) - [i1]Yanjun Li, Kiryung Lee, Yoram Bresler:
Optimal Sample Complexity for Blind Gain and Phase Calibration. CoRR abs/1512.07293 (2015)
Coauthor Index
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