Yulong Liu
Orcid: 0000-0002-4045-2306Affiliations:
- 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:
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Bibliography
2022
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
CoRR, 2020
2019
Localization From Incomplete Euclidean Distance Matrix: Performance Analysis for the SVD-MDS Approach.
IEEE Trans. Signal Process., 2019
IEEE Trans. Signal Process., 2019
IEEE Trans. Inf. Theory, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
2018
IEEE Trans. Signal Process., 2018
Phase Transition of Convex Programs for Linear Inverse Problems with Multiple Prior Constraints.
CoRR, 2018
2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
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
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
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
2011
CoRR, 2011