Corrosion Image Data Set for Automating Scientific Assessment of Materials. - Biao Yin; Nicholas Josselyn; Thomas A. Considine; John V. Kelley; Berend C. Rinderspacher; Robert E. Jensen; James F. Snyder; Ziming Zhang; Elke A. Rundensteiner (BMVC, 2021)

An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations? - Nicholas Josselyn; Biao Yin; Ziming Zhang; Elke A. Rundensteiner (IEEE Big Data, 2022)

Transferring Indoor Corrosion Image Assessment Models to Outdoor Images via Domain Adaptation. - Nicholas Josselyn; Biao Yin; Thomas A. Considine; John V. Kelley; Berend C. Rinderspacher; Robert E. Jensen; James F. Snyder; Ziming Zhang; Elke A. Rundensteiner (ICMLA, 2022)

MOSS: AI Platform for Discovery of Corrosion-Resistant Materials. - Biao Yin; Nicholas Josselyn; Ziming Zhang; Elke A. Rundensteiner; Thomas A. Considine; John V. Kelley; Berend C. Rinderspacher; Robert E. Jensen; James F. Snyder (CIKM, 2023)

AlloyGAN: Domain-Promptable Generative Adversarial Network for Generating Aluminum Alloy Microstructures. - Biao Yin; Yangyang Fan; Nicholas Josselyn; Elke A. Rundensteiner (ICMLA, 2023)

DeepSC-Edge: Scientific Corrosion Segmentation with Edge-Guided and Class-Balanced Losses. - Biao Yin; Nicholas Josselyn; Thomas A. Considine; John V. Kelley; Berend C. Rinderspacher; Robert E. Jensen; James F. Snyder; Ziming Zhang; Elke A. Rundensteiner (ICMLA, 2023)

Learning to Adapt Deep Corrosion Assessment Models From Indoor to Outdoor Image Domains. - Nicholas Josselyn; Biao Yin; Thomas A. Considine; John V. Kelley; Berend Christopher Rinderspacher; Robert E. Jensen; James F. Snyder; Walter Gerych; Ziming Zhang; Elke A. Rundensteiner (IEEE Access, 2025)