Zichao Wendy Di
Cited by
Cited by
Computing just what you need: Online data analysis and reduction at extreme scales
I Foster, M Ainsworth, B Allen, J Bessac, F Cappello, JY Choi, ...
Euro-Par 2017: Parallel Processing: 23rd International Conference on …, 2017
Bilevel optimization, deep learning and fractional Laplacian regularization with applications in tomography
H Antil, ZW Di, R Khatri
Inverse Problems 36 (6), 064001, 2020
Joint reconstruction of x-ray fluorescence and transmission tomography
ZW Di, S Chen, YP Hong, C Jacobsen, S Leyffer, SM Wild
Optics express 25 (12), 13107-13124, 2017
Optimization-Based Approach for Joint X-Ray Fluorescence and Transmission Tomographic Inversion
Z Di, S Leyffer, SM Wild
SIAM Journal on Imaging Sciences 9 (1), 1-23, 2016
Multigrid Optimization for Large-Scale Ptychographic Phase Retrieval
SW Fung, ZW Di
SIAM Journal on Imaging Sciences 13 (1), 214-233, 2020
Online data analysis and reduction: An important co-design motif for extreme-scale computers
I Foster, M Ainsworth, J Bessac, F Cappello, J Choi, S Di, Z Di, AM Gok, ...
The International Journal of High Performance Computing Applications 35 (6 …, 2021
Crowd distribution and location preference
W Li, Z Di, JM Allbeck
Computer Animation and Virtual Worlds 23 (3-4), 343-351, 2012
Truncated Newton-based multigrid algorithm for centroidal Voronoi diagram calculation
Z Di, M Emelianenko, S Nash
Numerical Mathematics: Theory, Methods and Applications 5 (2), 242-259, 2012
Upscaling X-ray nanoimaging to macroscopic specimens
M Du, Z Di, D Gürsoy, RP Xian, Y Kozorovitskiy, C Jacobsen
Journal of applied crystallography 54 (2), 386-401, 2021
Simultaneous sensing error recovery and tomographic inversion using an optimization-based approach
AP Austin, ZW Di, S Leyffer, SM Wild
SIAM Journal on Scientific Computing 41 (3), B497-B521, 2019
Centroidal Voronoi tessellation based methods for optimal rain gauge location prediction
ZW Di, V Maggioni, Y Mei, M Vazquez, P Houser, M Emelianenko
Journal of Hydrology 584, 124651, 2020
Optimization-based simultaneous alignment and reconstruction in multi-element tomography
ZW Di, S Chen, D Gursoy, T Paunesku, S Leyffer, SM Wild, S Vogt
Optics letters 44 (17), 4331-4334, 2019
Calibrating sensing drift in tomographic inversion
X Huang, SM Wild, ZW Di
2019 IEEE International conference on image processing (ICIP), 1267-1271, 2019
Imaging atomic-scale chemistry from fused multi-modal electron microscopy
J Schwartz, ZW Di, Y Jiang, AJ Fielitz, DH Ha, SD Perera, I El Baggari, ...
npj Computational Materials 8 (1), 16, 2022
Uncertainty quantification for ptychography using normalizing flows
A Dasgupta, ZW Di
arXiv preprint arXiv:2111.00745, 2021
Recovering chemistry at atomic resolution using multi-modal spectroscopy
J Schwartz, Y Jiang, ZW Di, T Ma, H Zheng, S Rozeveld, R Hovden
Microscopy and Microanalysis 27 (S1), 1226-1228, 2021
A reliable workflow for improving nanoscale X-ray fluorescence tomographic analysis on nanoparticle-treated HeLa cells
Y Luo, T Paunesku, O Antipova, Y Liu, NJ Zaluzec, Z Di, G Woloschak, ...
Metallomics 14 (9), mfac025, 2022
Classification of Probe Quality in Ptychography
D Lin, Y Jiang, J Deng, ZW Di
Optics and Photonics for Sensing the Environment, JTu5A. 2, 2021
Data compression for optimization of a molecular dynamics system: preserving basins of attraction
M Retzlaff, T Munson, Z Di
Computational Science–ICCS 2019: 19th International Conference, Faro …, 2019
Simultaneous Reconstruction and Uncertainty Quantification for Tomography
A Dasgupta, C Graziani, ZW Di
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
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