| Deep learning enables structured illumination microscopy with low light levels and enhanced speed L Jin, B Liu, F Zhao, S Hahn, B Dong, R Song, TC Elston, Y Xu, KM Hahn Nature communications 11 (1), 1934, 2020 | 212 | 2020 |
| Bachmmachine: An interpretable and scalable model for algorithmic harmonization for four-part baroque chorales Y Zhu, S Hahn, S Mak, Y Jiang, C Rudin arXiv preprint arXiv:2109.07623, 2021 | 4 | 2021 |
| An Interpretable, Flexible, and Interactive Probabilistic Framework for Melody Generation S Hahn, R Zhu, S Mak, C Rudin, Y Jiang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
| SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization S Hahn, J Yin, R Zhu, W Xu, Y Jiang, S Mak, C Rudin Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| A New Dataset, Notation Software, and Representation for Computational Schenkerian Analysis S Ni-Hahn, W Xu, J Yin, R Zhu, S Mak, Y Jiang, C Rudin arXiv preprint arXiv:2408.07184, 2024 | | 2024 |
| BacHMMachine: An Interpretable and Scalable Model for Algorithmic Harmonization Y Zhu, S Hahn, S Mak, Y Jiang, C Rudin arXiv preprint arXiv:2109.07623, 2021 | | 2021 |
| Rapid and Extreme Low-light Superresolution Imaging via Artificial Intelligence B Liu, L Jin, B Dong, R Song, F Zhao, S Hahn, TC Elston, Y Xu, KM Hahn Biophysical Journal 118 (3), 167a, 2020 | | 2020 |
