Use cases of lossy compression for floating-point data in scientific data sets. - Franck Cappello; Sheng Di; Sihuan Li; Xin Liang 001; Ali Murat Gok; Dingwen Tao; Chun Hong Yoon; Xin-Chuan Wu; Yuri Alexeev; Frederic T. Chong (Int. J. High Perform. Comput. Appl., 2019)

Fluctuation X-ray Scattering real-time app. - Antoine Dujardin; Elliott Slaughter; Jeffrey Donatelli; Peter Zwart; Amedeo Perazzo; Chun Hong Yoon (SciPy, 2020)

CryoPoseNet: End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data. - Youssef S. G. Nashed; Frédéric Poitevin; Harshit Gupta; Geoffrey Woollard; Michael Kagan; Chun Hong Yoon; Daniel Ratner (ICCVW, 2021)

Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval. - Zhengchun Liu; Ahsan Ali; Peter Kenesei; Antonino Miceli; Hemant Sharma; Nicholas Schwarz; Dennis Trujillo; Hyunseung Yoo; Ryan N. Coffee; Naoufal Layad; Jana Thayer; Ryan Herbst; et al. (XLOOP@SC, 2021)

Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval. - Zhengchun Liu; Ahsan Ali; Peter Kenesei; Antonino Miceli; Hemant Sharma; Nicholas Schwarz; Dennis Trujillo; Hyunseung Yoo; Ryan N. Coffee; Ryan Herbst; Jana Thayer; Chun Hong Yoon; et al. (CoRR, 2021)

Scaling and Acceleration of Three-dimensional Structure Determination for Single-Particle Imaging Experiments with SpiniFEL. - Hsing-Yin Chang; Elliott Slaughter; Seema Mirchandaney; Jeffrey Donatelli; Chun Hong Yoon (CoRR, 2021)

Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities. - Hongwei Chen; Sathya R. Chitturi; Rajan Plumley; Lingjia Shen; Nathan C. Drucker; Nicolas Burdet; Cheng Peng 012; Sougata Mardanya; Daniel Ratner; Aashwin Mishra; Chun Hong Yoon; Sanghoon Song; et al. (XLOOP@SC, 2022)

ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography. - Robert Underwood; Chun Hong Yoon; Ali Murat Gok; Sheng Di; Franck Cappello (CoRR, 2022)

SpeckleNN: A unified embedding for real-time speckle pattern classification in X-ray single-particle imaging with limited labeled examples. - Cong Wang; Eric Florin; Hsing-Yin Chang; Jana Thayer; Chun Hong Yoon (CoRR, 2023)

PeakNet: Bragg peak finding in X-ray crystallography experiments with U-Net. - Cong Wang; Po-Nan Li; Jana Thayer; Chun Hong Yoon (CoRR, 2023)

Machine learning enabled experimental design and parameter estimation for ultrafast spin dynamics. - Zhantao Chen; Cheng Peng 012; Alexander N. Petsch; Sathya R. Chitturi; Alana Okullo; Sugata Chowdhury; Chun Hong Yoon; Joshua J. Turner (CoRR, 2023)

Augmenting x-ray single particle imaging reconstruction with self-supervised machine learning. - Zhantao Chen; Cong Wang; Mingye Gao; Chun Hong Yoon; Jana B. Thayer; Joshua J. Turner (CoRR, 2023)

Bayesian experimental design and parameter estimation for ultrafast spin dynamics. - Zhantao Chen; Cheng Peng 012; Alexander N. Petsch; Sathya R. Chitturi; Alana Okullo; Sugata Chowdhury; Chun Hong Yoon; Joshua J. Turner (Mach. Learn. Sci. Technol., 2023)