Data Processing For Atomic Resolution EELS - Paul Cueva; Robert Hovden; Julia A. Mundy; Huolin L. Xin; David A. Muller (CoRR, 2011)

0.7 Å Resolution Electron Tomography Enabled by Deep-Learning-Aided Information Recovery. - Chunyang Wang; Guanglei Ding; Yitong Liu; Huolin L. Xin (Adv. Intell. Syst., 2020)

TEMImageNet and AtomSegNet Deep Learning Training Library and Models for High-Precision Atom Segmentation, Localization, Denoising, and Super-resolution Processing of Atom-Resolution Scanning TEM Images. - Ruoqian Lin; Rui Zhang; Chunyang Wang; Xiao-Qing Yang; Huolin L. Xin (CoRR, 2020)

Super-compression of large electron microscopy time series by deep compressive sensing learning. - Siming Zheng; Chunyang Wang; Xin Yuan 002; Huolin L. Xin (Patterns, 2021)

Electron energy loss spectroscopy database synthesis and automation of core-loss edge recognition by deep-learning neural networks. - Lingli Kong; Zhengran Ji; Huolin L. Xin (CoRR, 2022)

Periodic Artifact Reduction in Fourier transforms of Full Field Atomic Resolution Images. - Robert Hovden; Yi Jiang; Huolin L. Xin; Lena F. Kourkoutis (CoRR, 2022)

MnEdgeNet - Accurate Decomposition of Mixed Oxidation States for Mn XAS and EELS L2, 3 Edges without Reference and Calibration. - Huolin L. Xin; Mike Hu (CoRR, 2022)

Human Perception-Inspired Grain Segmentation Refinement Using Conditional Random Fields. - Doruk Aksoy; Huolin L. Xin; Timothy J. Rupert; William J. Bowman (CoRR, 2023)

RadVolViz: An Information Display-Inspired Transfer Function Editor for Multivariate Volume Visualization. - Ayush Kumar 004; Xinyu Zhang; Huolin L. Xin; Hanfei Yan; Xiaojing Huang; Wei Xu 020; Klaus Mueller 001 (IEEE Trans. Vis. Comput. Graph., 2024)