Resolution Reconstruction of Climate Data with Pixel Recursive Model. - Sookyung Kim; Sasha Ames; Jiwoo Lee; Chengzhu Zhang; Aaron C. Wilson; Dean Williams (ICDM Workshops, 2017)

Learning to Reconstruct Computed Tomography Images Directly From Sinogram Data Under A Variety of Data Acquisition Conditions. - Yinsheng Li; Ke Li; Chengzhu Zhang; Juan C. Montoya; Guang-Hong Chen (IEEE Trans. Medical Imaging, 2019)

COVID-19 pneumonia diagnosis using chest x-ray radiograph and deep learning. - Dalton Griner; Ran Zhang 009; Xin Tie; Chengzhu Zhang; John W. Garrett; Ke Li 033; Guang-Hong Chen (Computer-Aided Diagnosis, 2021)

High Pitch Helical CT Reconstruction. - John W. Hayes; Juan C. Montoya; Adam Budde; Chengzhu Zhang; Yinsheng Li; Ke Li 033; Jiang Hsieh; Guang-Hong Chen (IEEE Trans. Medical Imaging, 2021)

Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition. - Qian Gong; Ben Whitney; Chengzhu Zhang; Xin Liang 001; Anand Rangarajan 001; Jieyang Chen; Lipeng Wan 001; Paul Ullrich; Qing Liu 002; Robert Jacob; Sanjay Ranka; Scott Klasky (SSDBM, 2022)

Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis. - Qian Gong; Chengzhu Zhang; Xin Liang 001; Viktor Reshniak; Jieyang Chen; Anand Rangarajan 001; Sanjay Ranka; Nicolas Vidal 003; Lipeng Wan 001; Paul Ullrich; Norbert Podhorszki; Robert Jacob; et al. (e-Science, 2023)

xCDAT: A Python Package for Simple and Robust Analysis of Climate Data. - Tom Vo; Stephen Po-Chedley; Jason Boutte; Ji-Woo Lee; Chengzhu Zhang (J. Open Source Softw., 2024)