| Domain-specific language model pretraining for biomedical natural language processing Y Gu, R Tinn, H Cheng, M Lucas, N Usuyama, X Liu, T Naumann, J Gao, ... ACM Transactions on Computing for Healthcare (HEALTH) 3 (1), 1-23, 2021 | 3105 | 2021 |
| Llava-med: Training a large language-and-vision assistant for biomedicine in one day C Li, C Wong, S Zhang, N Usuyama, H Liu, J Yang, T Naumann, H Poon, ... Advances in Neural Information Processing Systems 36, 28541-28564, 2023 | 1573 | 2023 |
| BioGPT: generative pre-trained transformer for biomedical text generation and mining R Luo, L Sun, Y Xia, T Qin, S Zhang, H Poon, TY Liu Briefings in bioinformatics 23 (6), bbac409, 2022 | 1496 | 2022 |
| Representing text for joint embedding of text and knowledge bases K Toutanova, D Chen, P Pantel, H Poon, P Choudhury, M Gamon Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 1036 | 2015 |
| Sum-product networks: a new deep architecture P Domingos, H Poon Proceedings of the 12th Conference on Uncertainty in Artificial Intelligence …, 2012 | 1005* | 2012 |
| A multimodal biomedical foundation model trained from fifteen million image–text pairs S Zhang, Y Xu, N Usuyama, H Xu, J Bagga, R Tinn, S Preston, R Rao, ... NEJM AI 2 (1), AIoa2400640, 2025 | 880* | 2025 |
| A whole-slide foundation model for digital pathology from real-world data H Xu, N Usuyama, J Bagga, S Zhang, R Rao, T Naumann, C Wong, ... Nature 630 (8015), 181-188, 2024 | 748 | 2024 |
| Cross-Sentence N-ary Relation Extraction with Graph LSTMs N Peng, H Poon, C Quirk, K Toutanova, W Yih Transactions of the Association for Computational Linguistics 5, 101-115, 2017 | 669 | 2017 |
| Chapter 1. Neural-Symbolic Learning and Reasoning: A Survey and Interpretation 1 TR Besold, S Bader, H Bowman, P Domingos, P Hitzler, KU Kühnberger, ... Neuro-symbolic artificial intelligence: The state of the art, 1-51, 2021 | 623 | 2021 |
| Can generalist foundation models outcompete special-purpose tuning? case study in medicine H Nori, YT Lee, S Zhang, D Carignan, R Edgar, N Fusi, N King, J Larson, ... arXiv preprint arXiv:2311.16452, 2023 | 535 | 2023 |
| Making the most of text semantics to improve biomedical vision–language processing B Boecking, N Usuyama, S Bannur, DC Castro, A Schwaighofer, S Hyland, ... European conference on computer vision, 1-21, 2022 | 482 | 2022 |
| The alchemy system for statistical relational ai: User manual S Kok, P Singla, M Richardson, P Domingos, M Sumner, H Poon, D Lowd, ... Department of Computer Science and Engineering, University of Washington, 2008 | 397* | 2008 |
| Unsupervised semantic parsing H Poon, P Domingos Proceedings of the 2009 conference on empirical methods in natural language …, 2009 | 389 | 2009 |
| Sound and efficient inference with probabilistic and deterministic dependencies H Poon, P Domingos AAAI 6, 458-463, 2006 | 371 | 2006 |
| Distant supervision for relation extraction beyond the sentence boundary C Quirk, H Poon Proceedings of the 15th conference of the European chapter of the …, 2017 | 348 | 2017 |
| Joint inference in information extraction H Poon, P Domingos PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE 22 (1), 913, 2007 | 333 | 2007 |
| Classification of common human diseases derived from shared genetic and environmental determinants K Wang, H Gaitsch, H Poon, NJ Cox, A Rzhetsky Nature genetics 49 (9), 1319-1325, 2017 | 287 | 2017 |
| Joint unsupervised coreference resolution with Markov logic H Poon, P Domingos Proceedings of the Conference on Empirical Methods in Natural Language …, 2008 | 279 | 2008 |
| Adversarial training for large neural language models X Liu, H Cheng, P He, W Chen, Y Wang, H Poon, J Gao arXiv preprint arXiv:2004.08994, 2020 | 255 | 2020 |
| Universalner: Targeted distillation from large language models for open named entity recognition W Zhou, S Zhang, Y Gu, M Chen, H Poon arXiv preprint arXiv:2308.03279, 2023 | 225 | 2023 |
Tristan NaumannPrincipal Researcher, Microsoft Research Health FuturesVerified email at microsoft.com
