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ORCIDTao Hong 0006
Person information
- affiliation: Technion - Israel Institute of Technology, Department of Computer Science, Haifa, Israel
- affiliation (former): Zhejiang University of Technology, College of Information Engineering, Hangzhou, China
Other persons with the same name
- Tao Hong — disambiguation page
- Tao Hong 0001 — State University of New York at Buffalo, Center of Excellence for Document Analysis and Recognition, NY, USA
- Tao Hong 0002 — Inc., Providence, RI, USA (and 3 more)
- Tao Hong 0003
![[0000-0003-2421-7290]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2421-7290")
— University of North Carolina at Charlotte, Energy Production and Infrastructure Center, NC, USA (and 1 more) - Tao Hong 0004 — Beihang University, School of Electronics and Information Engineering, Beijing, China
- Tao Hong 0005 — Nanjing University of Posts and Telecommunications, MoE Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, China
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2020 – today
- 2024
[j8]Tao Hong, Luis Hernandez-Garcia, Jeffrey A. Fessler:
A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI. IEEE Trans. Computational Imaging 10: 372-384 (2024)- 2022
- [j7]Tao Hong, Irad Yavneh:
On adapting Nesterov's scheme to accelerate iterative methods for linear problems. Numer. Linear Algebra Appl. 29(2) (2022) - 2021
- [b1]Tao Hong:
Numerical Optimization and Multigrid Computational Methods with Applications. Technion - Israel Institute of Technology, Israel, 2021 - [i5]Tao Hong, Irad Yavneh:
On Adapting Nesterov's Scheme to Accelerate Iterative Methods for Linear Problems. CoRR abs/2102.09239 (2021) - 2020
- [j6]Tao Hong, Irad Yavneh, Michael Zibulevsky:
Solving RED With Weighted Proximal Methods. IEEE Signal Process. Lett. 27: 501-505 (2020)
2010 – 2019
- 2019
- [j5]Tao Hong, Yaniv Romano, Michael Elad:
Acceleration of RED via vector extrapolation. J. Vis. Commun. Image Represent. 63 (2019) - [j4]Tao Hong, Xiao Li, Zhihui Zhu, Qiuwei Li:
Optimized structured sparse sensing matrices for compressive sensing. Signal Process. 159: 119-129 (2019) - 2018
- [j3]Tao Hong, Zhihui Zhu:
An efficient method for robust projection matrix design. Signal Process. 143: 200-210 (2018) - [j2]Tao Hong, Zhihui Zhu:
Online learning sensing matrix and sparsifying dictionary simultaneously for compressive sensing. Signal Process. 153: 188-196 (2018) - [i4]Tao Hong, Yaniv Romano, Michael Elad:
Acceleration of RED via Vector Extrapolation. CoRR abs/1805.02158 (2018) - [i3]Tao Hong, Irad Yavneh, Michael Zibulevsky:
Accelerating Multigrid Optimization via SESOP. CoRR abs/1812.06896 (2018) - 2017
- [i2]Tao Hong, Xiao Li, Zhihui Zhu, Qiuwei Li:
Optimized Sparse Projections for Compressive Sensing. CoRR abs/1709.06895 (2017) - 2016
- [j1]Tao Hong, Huang Bai, Sheng Li, Zhihui Zhu:
An efficient algorithm for designing projection matrix in compressive sensing based on alternating optimization. Signal Process. 125: 9-20 (2016) - [i1]Tao Hong, Zhihui Zhu:
Robust Projection Matrix Design and Its Application in Compression. CoRR abs/1609.08281 (2016) - 2015
- [c1]Qianru Jiang, Zeru Lu, Sheng Li, Gang Li, Huang Bai, Tao Hong:
A new framework based on sparse representation applied to monitor video. DSP 2015: 1053-1057
Coauthor Index
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