Distributed Automatic Differentiation for Ptychography. - Youssef S. G. Nashed; Tom Peterka; Junjing Deng; Chris Jacobsen (ICCS, 2017)

Adorym: A multi-platform generic x-ray image reconstruction framework based on automatic differentiation. - Ming Du; Saugat Kandel; Junjing Deng; Xiaojing Huang; Arnaud Demortière; Tuan Tu Nguyen; Rémi Tucoulou; Vincent De Andrade; Qiaoling Jin; Chris Jacobsen (CoRR, 2020)

Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time. - Iksung Kang; Ziling Wu; Yi Jiang; Yudong Yao; Junjing Deng; Jeffrey Klug; Stefan Vogt; George Barbastathis (CoRR, 2022)

SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. - Xin Liang 001; Kai Zhao 008; Sheng Di; Sihuan Li; Robert Underwood; Ali Murat Gok; Jiannan Tian; Junjing Deng; Jon C. Calhoun; Dingwen Tao; Zizhong Chen; Franck Cappello (IEEE Trans. Big Data, 2023)

Predicting ptychography probe positions using single-shot phase retrieval neural network. - Ming Du; Tao Zhou; Junjing Deng; Daniel J. Ching; Steven Henke; Mathew J. Cherukara (CoRR, 2024)

Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification. - Canberk Ekmekci; Tekin Bicer; Zichao Wendy Di; Junjing Deng; Müjdat Çetin (CoRR, 2024)