Learning Explainable Multi-view Representations for Malware Authorship Attribution. - Irsyad Adam; Alex Waagen; Dana Warmsley; Jiejun Xu (IEEE Big Data, 2023)

Explainable Biomedical Hypothesis Generation via Retrieval Augmented Generation enabled Large Language Models. - Alexander Russell Pelletier; Joseph Ramirez; Irsyad Adam; Simha Sankar; Yu Yan; Ding Wang; Dylan Steinecke; Wei Wang; Peipei Ping (CoRR, 2024)

Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models. - Simha Sankar Baradwaj; Destiny Gilliland; Jack Rincon; Henning Hermjakob; Yu Yan; Irsyad Adam; Gwyneth Lemaster; Dean Wang; Karol E. Watson; Alex A. T. Bui; Wei Wang; Peipei Ping (CoRR, 2024)

STACT-Time: Spatio-Temporal Cross Attention for Cine Thyroid Ultrasound Time Series Classification. - Irsyad Adam; Tengyue Zhang; Steven S. Raman; Zhuyu Qiu; Brandon Taraku; Hexiang Feng; Sile Wang; Ashwath Radhachandran; Shreeram Athreya; Vedrana Ivezic; Peipei Ping; Corey W. Arnold; et al. (CoRR, 2025)

Platform for Representation and Integration of multimodal Molecular Embeddings. - Erika Yilin Zheng; Yu Yan; Simha Sankar Baradwaj; Ethan Ji; Steven S. Raman; Irsyad Adam; Ding Wang; Alexander Russell Pelletier; Alex A. T. Bui; Wei Wang; Peipei Ping (CoRR, 2025)

Atherosclerosis through Hierarchical Explainable Neural Network Analysis. - Irsyad Adam; Steven S. Raman; Erika Yilin; Ethan Ji; William Speier; Dean Wang; Alex A. T. Bui; Wei Wang; Karol E. Watson; Peipei Ping (CoRR, 2025)