Yulong Liu

Orcid: 0000-0002-4045-2306

Affiliations:
  • Beijing Institute of Technology, School of Physics, China
  • Chinese Academy of Sciences, Institute of Electronics, Beijing, China (PhD 2012)
  • Hunan Normal University, Department of Physics, Changsha, China (former)


According to our database1, Yulong Liu authored at least 26 papers between 2011 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Quantized Corrupted Sensing With Random Dithering.
IEEE Trans. Signal Process., 2022

Phase Transitions in Recovery of Structured Signals From Corrupted Measurements.
IEEE Trans. Inf. Theory, 2022

A Sharp Analysis of Covariate Adjusted Precision Matrix Estimation via Alternating Projected Gradient Descent.
IEEE Signal Process. Lett., 2022

Time-Data Tradeoffs in Structured Signals Recovery via the Proximal-Gradient Homotopy Method.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
Spectrally Sparse Signal Recovery via Hankel Matrix Completion With Prior Information.
IEEE Trans. Signal Process., 2021

A Sharp Analysis of Covariate Adjusted Precision Matrix Estimation via Alternating Gradient Descent with Hard Thresholding.
CoRR, 2021

Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Matrix Completion with Prior Subspace Information via Maximizing Correlation.
CoRR, 2020

2019
Localization From Incomplete Euclidean Distance Matrix: Performance Analysis for the SVD-MDS Approach.
IEEE Trans. Signal Process., 2019

Covariance Matrix Estimation From Linearly-Correlated Gaussian Samples.
IEEE Trans. Signal Process., 2019

Stable Recovery of Structured Signals From Corrupted Sub-Gaussian Measurements.
IEEE Trans. Inf. Theory, 2019

Covariance Matrix Estimation from Correlated Sub-Gaussian Samples.
CoRR, 2019

Recovery of Structured Signals From Corrupted Non-Linear Measurements.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Recovery of Structured Signals With Prior Information via Maximizing Correlation.
IEEE Trans. Signal Process., 2018

Data-Time Tradeoffs for Corrupted Sensing.
IEEE Signal Process. Lett., 2018

Covariance Matrix Estimation from Correlated Samples.
CoRR, 2018

Phase Transition of Convex Programs for Linear Inverse Problems with Multiple Prior Constraints.
CoRR, 2018

2017
On the phase transition of corrupted sensing.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Compressed sensing with prior information via maximizing correlation.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Corrupted sensing with sub-Gaussian measurements.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2012
Compressed Sensing With General Frames via Optimal-Dual-Based e<sub>1</sub>-Analysis.
IEEE Trans. Inf. Theory, 2012

Fast thresholding algorithms with feedbacks for sparse signal recovery
CoRR, 2012

Performance Analysis of ℓ<sub>1</sub>-synthesis with Coherent Frames
CoRR, 2012

The ℓ1 analysis approach by sparse dual frames for sparse signal recovery represented by frames.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Performance analysis of ℓ1-synthesis with coherent frames.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011
Compressed Sensing with General Frames via Optimal-dual-based ℓ<sub>1</sub>-analysis
CoRR, 2011


  Loading...