Tao Hong

Tao Hong

Postdoctoral Research
Functional MRI Lab, UM

Publications

Google Scholar

Preprint 

  1. Tao Hong, Zhaoyi Xu, Jason Hu, and Jeffrey A. Fessler, On Adapting Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction, arXiv:2411.08178. (Supp)
  2. Tao Hong, Thanh-an Pham, Irad Yavneh, and Michael Unser, A Mini-Batch Quasi-Newton Proximal Method for Constrained Total-Variation Nonlinear Image Reconstruction, arXiv:2307.02043. (Poster) (Slides) (Code)
  3. Tao Hong, Thanh-an Pham, Eran Treister, and Michael Unser, Diffraction Tomography with Helmholtz Equation: Efficient and Robust Multigrid-Based Solver, arXiv:2107.03679. (Slides) (Code)
  4. Tao Hong, Irad Yavneh, and Michael Zibulevsky, Merging Multigrid Optimization with SESOP, arXiv:1812.06896. (Slides) (Code)

Journal Papers

  1. Tao Hong, Xiaojian Xu, Jason Hu, and Jeffrey A. Fessler, Provable Preconditioned Plug-and-Play Approach for Compressed Sensing MRI Reconstruction, IEEE Transactions on Computational Imaging , vol. 10, pp. 1476 - 1488, Oct. 2024. (Poster) (Slides)
  2. Tao Hong, Luis Hernandez-Garcia, and Jeffrey A. Fessler, A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI, IEEE Transactions on Computational Imaging, vol. 10, pp. 372 - 384, Feb. 2024. (Slides) (Code) (PDF)
  3. Tao Hong and Irad Yavneh, On Adapting Nesterov's Scheme to Accelerate Iterative Methods for Linear Problems, Numerical Linear Algebra with Applications, 29(2):e2417, 2022.  (Slides) (Code)
  4. Tao Hong, Irad Yavneh, and Michael Zibulevsky, Solving RED with Weighted Proximal Methods, IEEE Signal Process. Letters, vol. 27, pp. 501-505, Mar. 2020. (Slides) (Code)
  5. Tao Hong, Yaniv Romano, and Michael Elad, Acceleration of RED via Vector Extrapolation,   Journal of Visual Communication and Image Representation,  vol. 63, Aug. 2019. (Code)
  6. Tao Hong, Xiao Li, Zhihui Zhu, and Qiuwei Li, Optimized Structured Sparse Sensing Matrices for Compressive Sensing, Signal Process., vol. 159, pp. 119-129, Jun. 2019.
  7. Tao Hong and Zhihui Zhu, Online Learning Sensing Matrix and Sparsifying Dictionary Simultaneously for Compressive Sensing, Signal Process., vol. 153, pp. 188-196, Dec. 2018. (Code)
  8. Tao Hong and Zhihui Zhu,  An Efficient Method for Robust Projection Matrix Design, Signal Process., vol. 143, pp. 200-210, Feb. 2018. (Code)
  9. Tao Hong, Huang Bai, Sheng Li, and Zhihui Zhu,  An Efficient Algorithm for Designing Projection Matrix in Compressive Sensing Based on Alternating Optimization, Signal Process., vol. 125, pp. 9-20, Aug. 2016. (Code)

Conference Papers

  1. Tao Hong, Huang Bai, Yabin Wei, Jie Yang, and Zhihui Zhu, Sparse Two-Dimension FIR Digital Flters using FISTA, Image and Signal Process. (CISP), 2014 7th International Congress on, pp. 815-819, Oct. 2014.
  2. Tao Hong, Huang Bai, Sheng Li, Chaogeng Huang, and Liping Chang, A New Method for Design All-Pass Filters with Equiripple Group Delay Errors, Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on, pp. 1024-1028, Jun. 2014.
  3. Tao Hong, Chaogeng Huang, Gang Li, and Yongching Lim, A Hessenberg-Based Input Balanced Realization for All-Pass Systems, Information, Communications and Signal Process. (ICICS) 2013 9th International Conference on, pp. 1-5, Dec. 2013.
  4. Tao Hong, Si Tang, Gang Li, Xiongxiong He, and LiPing Chang, All-Pass Based Efficient and Robust Structures for Finite Precision Implementation of Digital Filters, Control Conference (CCC), 2013 32nd Chinese, pp. 4517-4522, Jul. 2013.

Technical Reports

  1. Tao Hong, Numerical Optimization and Multigrid Computational Methods with Applications, PhD Dissertation, Computer Science, Technion, 2021. Advisors: Prof. Irad Yavneh and Prof. Michael Zibulevsky.