Hung Nien (粘紘)
I obtained my Ph.D. from the Electrical Engineering: Systems program in the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. I worked on X-ray computed tomography (CT) image reconstruction under the supervision of Prof. Jeffrey A. Fessler. My research interests include convex optimization, iterative algorithm, compressed sensing, and computational photography.
Here are my curriculum vitae, Google scholar citation, and articles on arXiv.
My research projects have included
Convergence analysis of convex optimization method with inexact updates
Fast X-ray CT image reconstruction using variable splitting methods and ordered subsets
Blind gain correction in X-ray CT image reconstruction
Model-based light field reconstruction using a focal stack
For more information, please see the Research page.
H. Nien and J. A. Fessler, " Fast X-ray CT image reconstruction using the linearized augmented Lagrangian method with ordered subsets, " in arXiv: 1402.4381, 2014. Submitted to IEEE Trans. Med. Imag..
H. Nien and J. A. Fessler, " A convergence proof of the split Bregman method for regularized least-squares problems, " in arXiv: 1402.4371, 2014.
H. Nien and J. A. Fessler, " Accelerating ordered-subsets X-ray CT image reconstruction using the linearized augmented Lagrangian framework, " in Proc. SPIE 9033 Medical Imaging 2014: Phys. Med. Im., p. 903332, 2014.
[pdf] [poster] [bibtex]
For more information, please see the Publication page.