Yanjun Li - RankMe

28 papers A* 2B 1Misc 2Journal 22

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Joint Dimensionality Reduction for Separable Embedding Estimation. CoRR Yanjun Li, Bihan Wen, Hao Cheng, Yoram Bresler
2020	J	`jnl`	A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems. CoRR Bihan Wen, Yanjun Li, Yuqi Li, Yoram Bresler
2020	J	`jnl`	Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers. IEEE Trans. Image Process. Bihan Wen, Yanjun Li, Yoram Bresler
2019	J	`jnl`	Blind Gain and Phase Calibration via Sparse Spectral Methods. IEEE Trans. Inf. Theory Yanjun Li, Kiryung Lee, Yoram Bresler
2019	Misc	`conf`	Multichannel Sparse Blind Deconvolution on the Sphere. ICASSP Yanjun Li, Yoram Bresler
2019	J	`jnl`	Multichannel Sparse Blind Deconvolution on the Sphere. IEEE Trans. Inf. Theory Yanjun Li, Yoram Bresler
2018	—	`—`	Bilinear inverse problems with sparsity: Optimal identifiability conditions and efficient recovery Yanjun Li
2018	A*	`conf`	Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere. NeurIPS Yanjun Li, Yoram Bresler
2018	J	`jnl`	Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere. CoRR Yanjun Li, Yoram Bresler
2018	J	`jnl`	The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling. CoRR Bihan Wen, Yanjun Li, Yoram Bresler
2018	J	`jnl`	Unified Theory for Recovery of Sparse Signals in a General Transform Domain. IEEE Trans. Inf. Theory Kiryung Lee, Yanjun Li, Kyong Hwan Jin, Jong Chul Ye
2017	J	`jnl`	Blind Gain and Phase Calibration via Sparse Spectral Methods. CoRR Yanjun Li, Kiryung Lee, Yoram Bresler
2017	J	`jnl`	Blind Recovery of Sparse Signals From Subsampled Convolution. IEEE Trans. Inf. Theory Kiryung Lee, Yanjun Li, Marius Junge, Yoram Bresler
2017	J	`jnl`	Identifiability and Stability in Blind Deconvolution Under Minimal Assumptions. IEEE Trans. Inf. Theory Yanjun Li, Kiryung Lee, Yoram Bresler
2017	J	`jnl`	Identifiability in Bilinear Inverse Problems With Applications to Subspace or Sparsity-Constrained Blind Gain and Phase Calibration. IEEE Trans. Inf. Theory Yanjun Li, Kiryung Lee, Yoram Bresler
2017	A*	`conf`	Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising. ICCV Bihan Wen, Yanjun Li, Luke Pfister, Yoram Bresler
2017	Misc	`conf`	When sparsity meets low-rankness: Transform learning with non-local low-rank constraint for image restoration. ICASSP Bihan Wen, Yanjun Li, Yoram Bresler
2016	J	`jnl`	Dimensionality Reduction for Nonlinear Regression with Two Predictor Vectors. CoRR Yanjun Li, Yoram Bresler
2016	J	`jnl`	Identifiability in Blind Deconvolution With Subspace or Sparsity Constraints. IEEE Trans. Inf. Theory Yanjun Li, Kiryung Lee, Yoram Bresler
2016	J	`jnl`	Optimal Sample Complexity for Blind Gain and Phase Calibration. IEEE Trans. Signal Process. Yanjun Li, Kiryung Lee, Yoram Bresler
2016	J	`jnl`	Optimal Sample Complexity for Stable Matrix Recovery. CoRR Yanjun Li, Kiryung Lee, Yoram Bresler
2016	B	`conf`	Optimal sample complexity for stable matrix recovery. ISIT Yanjun Li, Kiryung Lee, Yoram Bresler
2016	J	`jnl`	Unified Theory for Recovery of Sparse Signals in a General Transform Domain. CoRR Kiryung Lee, Yanjun Li, Kyong Hwan Jin, Jong Chul Ye
2015	J	`jnl`	A Unified Framework for Identifiability Analysis in Bilinear Inverse Problems with Applications to Subspace and Sparsity Models. CoRR Yanjun Li, Kiryung Lee, Yoram Bresler
2015	J	`jnl`	Blind Recovery of Sparse Signals from Subsampled Convolution. CoRR Kiryung Lee, Yanjun Li, Marius Junge, Yoram Bresler
2015	J	`jnl`	Identifiability in Blind Deconvolution under Minimal Assumptions. CoRR Yanjun Li, Kiryung Lee, Yoram Bresler
2015	J	`jnl`	Identifiability in Blind Deconvolution with Subspace or Sparsity Constraints. CoRR Yanjun Li, Kiryung Lee, Yoram Bresler
2015	J	`jnl`	Optimal Sample Complexity for Blind Gain and Phase Calibration. CoRR Yanjun Li, Kiryung Lee, Yoram Bresler