Learning Fractals by Gradient Descent. - Cheng-Hao Tu 001; Hong-You Chen; David Carlyn; Wei-Lun Chao (AAAI, 2023)

Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. - Mohannad Elhamod; Mridul Khurana; Harish Babu Manogaran; Josef C. Uyeda; Meghan A. Balk; Wasila M. Dahdul; Yasin Bakis; Henry L. Bart Jr.; Paula M. Mabee; Hilmar Lapp; James P. Balhoff; Caleb Charpentier; et al. (KDD, 2023)

BioCLIP: A Vision Foundation Model for the Tree of Life. - Samuel Stevens 001; Jiaman Wu; Matthew J. Thompson; Elizabeth G. Campolongo; Chan Hee Song; David Edward Carlyn; Li Dong; Wasila M. Dahdul; Charles V. Stewart; Tanya Y. Berger-Wolf; Wei-Lun Chao; Yu Su 001 (CVPR, 2024)

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. - Dipanjyoti Paul; Arpita Chowdhury; Xinqi Xiong; Feng-Ju Chang; David Edward Carlyn; Samuel Stevens 001; Kaiya Provost; Anuj Karpatne; Bryan Carstens; Daniel I. Rubenstein; Charles V. Stewart; Tanya Y. Berger-Wolf; et al. (ICLR, 2024)

Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation. - Ziheng Zhang; Jianyang Gu; Arpita Chowdhury; Zheda Mai; David Carlyn; Tanya Y. Berger-Wolf; Yu Su 001; Wei-Lun Chao (CVPR, 2025)

Building Machine Learning Challenges for Anomaly Detection in Science. - Elizabeth G. Campolongo; Yuan-Tang Chou; Ekaterina Govorkova; Wahid Bhimji; Wei-Lun Chao; Chris Harris; Shih-Chieh Hsu; Hilmar Lapp; Mark S. Neubauer; Josephine M. Namayanja; Aneesh Subramanian; Philip C. Harris; et al. (CoRR, 2025)