| Evolution of olfactory receptors tuned to mustard oils in herbivorous Drosophilidae T Matsunaga, CE Reisenman, B Goldman-Huertas, P Brand, K Miao, ... Molecular biology and evolution 39 (2), msab362, 2022 | 36 | 2022 |
| World-consistent video diffusion with explicit 3d modeling Q Zhang, S Zhai, MAB Martin, K Miao, A Toshev, J Susskind, J Gu Proceedings of the Computer Vision and Pattern Recognition Conference, 21685 …, 2025 | 25 | 2025 |
| Prior knowledge-guided attention in self-supervised vision transformers K Miao, A Gokul, R Singh, S Petryk, J Gonzalez, K Keutzer, T Darrell arXiv preprint arXiv:2209.03745, 2022 | 7 | 2022 |
| Vibe: A visual analytics workflow for semantic error analysis of cvml models at subgroup level J Yuan, K Miao, H Oh, I Walker, Z Xue, T Katolikyan, M Cavallo Proceedings of the 30th International Conference on Intelligent User …, 2025 | 3 | 2025 |
| DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models K Miao, H Agrawal, Q Zhang, F Semeraro, M Cavallo, J Gu, A Toshev arXiv preprint arXiv:2412.09648, 2024 | 2 | 2024 |
| Knowledge-Guided Self-Supervised Vision Transformers for Medical Imaging K Miao, C Reed, A Gokul, S Petryk, R Singh, K Keutzer, J Gonzalez, ... UC Berkeley, EECS, 2022 | 2 | 2022 |
| Towards a Better Evaluation of 3D CVML Algorithms: Immersive Debugging of a Localization Model T Lin, J Yuan, K Miao, T Katolikyan, I Walker, M Cavallo Computer Graphics Forum, e70111, 2025 | | 2025 |
| Prospective validation of machine learning-based approaches to predict potentially preventable emergency visits and hospitalizations. ID Friesner, K Miao, J Dahle, T Zack, J Feng, S Yousefi, B Buchake, ... JCO Oncology Practice 19 (11_suppl), 404-404, 2023 | | 2023 |
| Machine learning-based approach to the risk assessment of potentially preventable outpatient cancer treatment-related emergency care and hospitalizations. K Miao, J Dahle, S Yousefi, B Buchake, P Kaur, AY Odisho, P Cinar, ... Journal of Clinical Oncology 39 (28_suppl), 333-333, 2021 | | 2021 |
