Yanjun Li

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 22

Top Topics

Sample Complexity

Blind Deconvolution

Inverse Problems

Nonlinear Regression

Top Venues

IEEE Trans. Inf. Theory

Publications

Yanjun Li, Bihan Wen, Hao Cheng, Yoram Bresler
Joint Dimensionality Reduction for Separable Embedding Estimation. CoRR (2021)
Bihan Wen, Yanjun Li, Yuqi Li, Yoram Bresler
A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems. CoRR (2020)
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 (2020)
Yanjun Li, Yoram Bresler
Multichannel Sparse Blind Deconvolution on the Sphere. IEEE Trans. Inf. Theory 65 (11) (2019)
Yanjun Li, Yoram Bresler
Multichannel Sparse Blind Deconvolution on the Sphere. ICASSP (2019)
Yanjun Li, Kiryung Lee, Yoram Bresler
Blind Gain and Phase Calibration via Sparse Spectral Methods. IEEE Trans. Inf. Theory 65 (5) (2019)
Yanjun Li, Yoram Bresler
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere. NeurIPS (2018)
Yanjun Li, Yoram Bresler
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere. CoRR (2018)
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) (2018)
Bihan Wen, Yanjun Li, Yoram Bresler
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling. CoRR (2018)
Kiryung Lee, Yanjun Li, Marius Junge, Yoram Bresler
Blind Recovery of Sparse Signals From Subsampled Convolution. IEEE Trans. Inf. Theory 63 (2) (2017)
Yanjun Li, Kiryung Lee, Yoram Bresler
Blind Gain and Phase Calibration via Sparse Spectral Methods. CoRR (2017)
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) (2017)
Bihan Wen, Yanjun Li, Yoram Bresler
When sparsity meets low-rankness: Transform learning with non-local low-rank constraint for image restoration. ICASSP (2017)
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)
Yanjun Li, Kiryung Lee, Yoram Bresler
Identifiability and Stability in Blind Deconvolution Under Minimal Assumptions. IEEE Trans. Inf. Theory 63 (7) (2017)
Yanjun Li, Kiryung Lee, Yoram Bresler
Optimal Sample Complexity for Stable Matrix Recovery. CoRR (2016)
Yanjun Li, Yoram Bresler
Dimensionality Reduction for Nonlinear Regression with Two Predictor Vectors. CoRR (2016)
Kiryung Lee, Yanjun Li, Kyong Hwan Jin, Jong Chul Ye
Unified Theory for Recovery of Sparse Signals in a General Transform Domain. CoRR (2016)
Yanjun Li, Kiryung Lee, Yoram Bresler
Optimal Sample Complexity for Blind Gain and Phase Calibration. IEEE Trans. Signal Process. 64 (21) (2016)
Yanjun Li, Kiryung Lee, Yoram Bresler
Optimal sample complexity for stable matrix recovery. ISIT (2016)
Yanjun Li, Kiryung Lee, Yoram Bresler
Identifiability in Blind Deconvolution With Subspace or Sparsity Constraints. IEEE Trans. Inf. Theory 62 (7) (2016)
Yanjun Li, Kiryung Lee, Yoram Bresler
Optimal Sample Complexity for Blind Gain and Phase Calibration. CoRR (2015)
Yanjun Li, Kiryung Lee, Yoram Bresler
Identifiability in Blind Deconvolution under Minimal Assumptions. CoRR (2015)
Yanjun Li, Kiryung Lee, Yoram Bresler
Identifiability in Blind Deconvolution with Subspace or Sparsity Constraints. CoRR (2015)
Kiryung Lee, Yanjun Li, Marius Junge, Yoram Bresler
Blind Recovery of Sparse Signals from Subsampled Convolution. CoRR (2015)
Yanjun Li, Kiryung Lee, Yoram Bresler
A Unified Framework for Identifiability Analysis in Bilinear Inverse Problems with Applications to Subspace and Sparsity Models. CoRR (2015)