| Machine learning forecasting of active nematics Z Zhou, C Joshi, R Liu, MM Norton, L Lemma, Z Dogic, MF Hagan, ... Soft matter 17 (3), 738-747, 2021 | 39 | 2021 |
| Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases Y Wang, L Wang, Z Zhou, J Laurentiev, JR Lakin, L Zhou, P Hong Journal of biomedical informatics 156, 104677, 2024 | 1 | 2024 |
| Convolutional Autoencoder for Denoising Images of Active Nematics Z Zhou, P Hong, M Norton, S Fraden APS March Meeting Abstracts 2019, T70. 005, 2019 | 1 | 2019 |
| Generative Large Language Models in Electronic Health Records for Patient Care Since 2023: A Systematic Review X Du, Z Zhou, Y Wang, YW Chuang, R Yang, W Zhang, X Wang, R Zhang, ... medRxiv, 2024.08. 11.24311828, 2024 | | 2024 |
| Enhancing Peak Assignment in CNMR Spectroscopy: A Novel Approach Using Multimodal Alignment H Xu, Z Zhou, P Hong ICML 2024 AI for Science Workshop, 2024 | | 2024 |
| Graph Multi-Similarity Learning for Molecular Property Prediction H Xu, Z Zhou, P Hong arXiv preprint arXiv:2401.17615, 2024 | | 2024 |
| Molecular Identification and Peak Assignment: Leveraging Multi-Level Multimodal Alignment on NMR H Xu, Z Zhou, P Hong arXiv preprint arXiv:2311.13817, 2023 | | 2023 |
| Counterpart Fairness--Addressing Systematic between-group Differences in Fairness Evaluation Y Wang, Z Zhou, L Wang, J Laurentiev, P Hou, L Zhou, P Hong arXiv preprint arXiv:2305.18160, 2023 | | 2023 |
| Multil-Level Multimodal Alignment with Knowledge-Guided Instance-Wise Discrimination H Xu, Z Zhou, P Hong | | |
Pengyu HongBrandeis University在 brandeis.edu 的电子邮件经过验证
