A Unified Framework for Identifiability Analysis in Bilinear Inverse Problems with Applications to Subspace and Sparsity Models. - Yanjun Li 001; Kiryung Lee; Yoram Bresler (CoRR, 2015)

Identifiability in Blind Deconvolution under Minimal Assumptions. - Yanjun Li 001; Kiryung Lee; Yoram Bresler (CoRR, 2015)

Optimal sample complexity for stable matrix recovery. - Yanjun Li 001; Kiryung Lee; Yoram Bresler (ISIT, 2016)

Dimensionality Reduction for Nonlinear Regression with Two Predictor Vectors. - Yanjun Li 001; Yoram Bresler (CoRR, 2016)

Identifiability in Blind Deconvolution With Subspace or Sparsity Constraints. - Yanjun Li 001; Kiryung Lee; Yoram Bresler (IEEE Trans. Inf. Theory, 2016)

Optimal Sample Complexity for Blind Gain and Phase Calibration. - Yanjun Li 001; Kiryung Lee; Yoram Bresler (IEEE Trans. Signal Process., 2016)

When sparsity meets low-rankness: Transform learning with non-local low-rank constraint for image restoration. - Bihan Wen; Yanjun Li 001; Yoram Bresler (ICASSP, 2017)

Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising. - Bihan Wen; Yanjun Li 001; Luke Pfister; Yoram Bresler (ICCV, 2017)

Blind Recovery of Sparse Signals From Subsampled Convolution. - Kiryung Lee; Yanjun Li 001; Marius Junge; Yoram Bresler (IEEE Trans. Inf. Theory, 2017)

Identifiability in Bilinear Inverse Problems With Applications to Subspace or Sparsity-Constrained Blind Gain and Phase Calibration. - Yanjun Li 001; Kiryung Lee; Yoram Bresler (IEEE Trans. Inf. Theory, 2017)

Identifiability and Stability in Blind Deconvolution Under Minimal Assumptions. - Yanjun Li 001; Kiryung Lee; Yoram Bresler (IEEE Trans. Inf. Theory, 2017)

Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere. - Yanjun Li 001; Yoram Bresler (NeurIPS, 2018)

The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling. - Bihan Wen; Yanjun Li 001; Yoram Bresler (CoRR, 2018)

Unified Theory for Recovery of Sparse Signals in a General Transform Domain. - Kiryung Lee; Yanjun Li 001; Kyong Hwan Jin; Jong Chul Ye (IEEE Trans. Inf. Theory, 2018)

Bilinear inverse problems with sparsity: Optimal identifiability conditions and efficient recovery - Yanjun Li 001 (2018)

Multichannel Sparse Blind Deconvolution on the Sphere. - Yanjun Li 001; Yoram Bresler (IEEE Trans. Inf. Theory, 2019)

Blind Gain and Phase Calibration via Sparse Spectral Methods. - Yanjun Li 001; Kiryung Lee; Yoram Bresler (IEEE Trans. Inf. Theory, 2019)

A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems. - Bihan Wen; Yanjun Li 001; Yuqi Li; Yoram Bresler (CoRR, 2020)

Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers. - Bihan Wen; Yanjun Li 001; Yoram Bresler (IEEE Trans. Image Process., 2020)

Joint Dimensionality Reduction for Separable Embedding Estimation. - Yanjun Li 001; Bihan Wen; Hao Cheng 016; Yoram Bresler (CoRR, 2021)