| 2025 | AAAI | Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract). | Guihong Wan, Ninghui Hao, Crystal Maung, Haim Schweitzer, Chen Zhao, Kun-Hsing Yu, Yevgeniy R. Semenov |
| 2025 | MICCAI | DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology. | Yousef Yeganeh, Maximilian Frantzen, Michael Lee, Kun-Hsing Yu, Nassir Navab, Azade Farshad |
| 2024 | AAAI | Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract). | Boshen Yan, Guihong Wan, Haim Schweitzer, Zoltan Maliga, Sara Khattab, Kun-Hsing Yu, Peter K. Sorger, Yevgeniy R. Semenov |
| 2020 | AMIA | Deciphering Serous Ovarian Carcinoma Histopathology and Platinum Response by Convolutional Neural Networks. | Kun-Hsing Yu, Vincent Hu, Feiran Wang, Ursula Matulonis, George Mutter, Jeffrey Golden, Isaac S. Kohane |
| 2019 | AMIA | Classifying Non-Small Cell Lung Cancer Histopathology Types and Transcriptomic Subtypes using Convolutional Neural Networks. | Kun-Hsing Yu, Feiran Wang, Gerald J. Berry, Christopher R, Russ B. Altman, Michael Snyder, Isaac S. Kohane |
| 2018 | AMIA | Unraveling the Molecular Basis of Lung Adenocarcinoma Dedifferentiation and Prognosis by Integrating Omics and Histopathology. | Kun-Hsing Yu, Gerald J. Berry, Daniel L. Rubin, Christopher R, Russ B. Altman, Michael Snyder |
| 2017 | AMIA | Subtype Discovery for Autism Spectrum Disorder by Comorbidity Analysis. | Kun-Hsing Yu, Nathan P. Palmer, Isaac S. Kohane |
| 2017 | AMIA | Predicting Non-Small Cell Lung Cancer Diagnosis and Prognosis by Fully Automated Microscopic Pathology Image Features. | Kun-Hsing Yu, Ce Zhang, Gerald J. Berry, Russ B. Altman, Christopher R, Daniel L. Rubin, Michael Snyder |
| 2017 | PSB | Harnessing Big Data for Precision Medicine: Infrastructures and Applications. | Kun-Hsing Yu, Steven N. Hart, Rachel L. Goldfeder, Qiangfeng Cliff Zhang, Stephen C. J. Parker, Michael Snyder |
| 2013 | AMIA | Classifying Benign and Malignant Lung Diseases by Applying Machine Learning Methods to Microscopic Pathology Images. | Kun-Hsing Yu, Shanshan Tuo, Daniel L. Rubin |