Deep Learning for Prognosis Using Task-fMRI: A Novel Architecture and Training Scheme. - Ge Shi 007; Jason Smucny; Ian Davidson (KDD, 2022)

ChaosMining: A Benchmark to Evaluate Post-Hoc Local Attribution Methods in Low SNR Environments. - Ge Shi 007; Ziwen Kan; Jason Smucny; Ian Davidson (CoRR, 2024)

Visualizing Loss Functions as Topological Landscape Profiles. - Caleb Geniesse; Jiaqing Chen; Tiankai Xie; Ge Shi 007; Yaoqing Yang; Dmitriy Morozov; Talita Perciano; Michael W. Mahoney; Ross Maciejewski; Gunther H. Weber (CoRR, 2024)

Advances in Explainable AI for Deep Learning: Algorithms and Applications - Ge Shi 007 (2024)

LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics. - Tiankai Xie; Jiaqing Chen; Yaoqing Yang; Caleb Geniesse; Ge Shi 007; Ajinkya Chaudhari; John Kevin Cava; Michael W. Mahoney; Talita Perciano; Gunther H. Weber; Ross Maciejewski (IEEE Computer Graphics and Applications, 2025)