Yanjun Li

Orcid: 0000-0002-8979-6337

Affiliations:
  • University of Illinois at Urbana-Champaign, USA


According to our database1, Yanjun Li authored at least 20 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2021
Joint Dimensionality Reduction for Separable Embedding Estimation.
CoRR, 2021

2020
Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers.
IEEE Trans. Image Process., 2020

A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems.
CoRR, 2020

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

Multichannel Sparse Blind Deconvolution on the Sphere.
IEEE Trans. Inf. Theory, 2019

2018
Bilinear inverse problems with sparsity: Optimal identifiability conditions and efficient recovery
PhD thesis, 2018

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

The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling.
CoRR, 2018

Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

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

Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising.
Proceedings of the IEEE International Conference on Computer Vision, 2017

When sparsity meets low-rankness: Transform learning with non-local low-rank constraint for image restoration.
Proceedings of the 2017 IEEE International Conference on Acoustics, 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

Dimensionality Reduction for Nonlinear Regression with Two Predictor Vectors.
CoRR, 2016

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


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