| Industry, occupation, and exposure history of mesothelioma patients in the US National Mesothelioma Virtual Bank, 2006–2022 Y Gao, JM Mazurek, Y Li, D Blackley, DN Weissman, SV Burton, W Amin, ... Environmental research 230, 115085, 2023 | 6 | 2023 |
| Prediction of COVID-19 patients’ emergency room revisit using multi-source transfer learning Y Ji, Y Gao, R Bao, Q Li, D Liu, Y Sun, Y Ye 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI …, 2023 | 6 | 2023 |
| A Survey on Heterogeneous Transfer Learning R Bao, Y Sun, Y Gao, J Wang, Q Yang, H Chen, ZH Mao, X Xie, Y Ye arXiv preprint arXiv:2310.08459, 2023 | 5 | 2023 |
| Spatial-temporal differentiation and influencing factors of carbon emission trajectory in Chinese cities-A case study of 247 prefecture-level cities X Yang, K Jin, Z Duan, Y Gao, Y Sun, C Gao Science of the Total Environment 928, 172325, 2024 | 2 | 2024 |
| Factors contributory to fire occurrences in two populated areas in the American southwest STY Tong, S Wan, Y Gao Management of Environmental Quality: An International Journal 33 (3), 605-624, 2022 | 2 | 2022 |
| Online Transfer Learning for RSV Case Detection Y Sun, Y Gao, R Bao, GF Cooper, J Espino, H Hochheiser, MG Michaels, ... arXiv preprint arXiv:2402.01987, 2024 | 1 | 2024 |
| Multiple institutions’ research findings using the National Mesothelioma Virtual Bank S Barapatre, Y Gao, MJ Becich, UR Chandran, W Amin, Y Li, Y Ye F1000Research 11, 1343, 2024 | | 2024 |
| Multiple institutions’ research findings using th e National Mesothelioma Virtual Bank [version 2; peer review S Barapatre, Y Gao, MJ Becich, UR Chandran, W Amin, Y Li, Y Ye | | 2023 |
| Multiple institutions’ research findings using the Nationa l Mesothelioma Virtual Bank [version 1; peer review: awaiting S Barapatre, W Amin, Y Gao, Y Li, MJ Becich, Y Ye | | 2022 |
| A Recent Survey of Heterogeneous Transfer Learning R Bao, Y Sun, Y Gao, J Wang, Q Yang, ZH Mao, Y Ye Available at SSRN 4893606, 0 | | |
Ye Ye, PhDUniversity of Pittsburgh在 pitt.edu 的电子邮件经过验证
