| A systematic survey in geometric deep learning for structure-based drug design Z Zhang*, J Yan*, Y Huang*, Q Liu, E Chen, M Wang, M Zitnik arXiv preprint arXiv:2306.11768, 2024 | 17 | 2024 |
| A prediction model for tacrolimus daily dose in kidney transplant recipients with machine learning and deep learning techniques Q Zhang, X Tian, G Chen, Z Yu, X Zhang, J Lu, J Zhang, P Wang, X Hao, ... Frontiers in Medicine 9, 813117, 2022 | 17 | 2022 |
| M Hub: Unlocking the Potential of Machine Learning for Materials Discovery Y Du*, Y Wang*, Y Huang, JC Li, Y Zhu, T Xie, C Duan, JM Gregoire, ... NeurIPS 2023: Conference on Neural Information Processing Systems, 2023 | 6 | 2023 |
| Navigating Chemical Space with Latent Flows G Wei*, Y Huang*, C Duan, Y Song, Y Du NeurIPS 2024: Conference on Neural Information Processing Systems, 2024 | 2 | 2024 |
| How to Go With the Flow: an Analysis of Flow Matching Molecular Docking Performance With Priors of Varying Information Content DA Sharon*, Y Huang*, M Oyewole, S Mustafa ICLR 2024: Workshop on Generative and Experimental Perspectives for …, 2024 | 1 | 2024 |
| Multi-Scale Representation Learning for Protein Fitness Prediction Z Zhang, P Notin, Y Huang, A Lozano, V Vijil, D Marks, P Das, J Tang NeurIPS 2024: Conference on Neural Information Processing Systems, 2024 | | 2024 |
| Augmenting Evolutionary Models with Structure-based Retrieval Y Huang*, Z Zhang*, J Tang, DS Marks, P Notin ICML 2024: Workshop on Machine Learning for Life and Material Science, 2024 | | 2024 |
| An Energy Based Model for Incorporating Sequence Priors for Target-Specific Antibody Design Y Huang*, S Paul*, D Marks NeurIPS 2023: Workshop on Generative AI and Biology, 2023 | | 2023 |
Debora MarksSystems Biology, Harvard Medical School, Broad Institute of Harvard and MITVerified email at hms.harvard.edu
