| Fundamental limits of coded caching: From uncoded prefetching to coded prefetching K Zhang, C Tian IEEE Journal on Selected Areas in Communications 36 (6), 1153-1164, 2018 | 44 | 2018 |
| A multi-task Gaussian process self-attention neural network for real-time prediction of the need for mechanical ventilators in COVID-19 patients K Zhang, S Karanth, B Patel, R Murphy, X Jiang Journal of biomedical informatics 130, 104079, 2022 | 15 | 2022 |
| From uncoded prefetching to coded prefetching in coded caching C Tian, K Zhang arXiv 1704, 2017 | 13 | 2017 |
| Fairly predicting graft failure in liver transplant for organ assigning S Ding, R Tang, D Zha, N Zou, K Zhang, X Jiang, X Hu AMIA Annual Symposium Proceedings 2022, 415, 2022 | 12 | 2022 |
| DBNet: a novel deep learning framework for mechanical ventilation prediction using electronic health records K Zhang, X Jiang, M Madadi, L Chen, S Savitz, S Shams Proceedings of the 12th ACM Conference on Bioinformatics, Computational …, 2021 | 12 | 2021 |
| On the symmetry reduction of information inequalities K Zhang, C Tian IEEE Transactions on Communications 66 (6), 2396-2408, 2017 | 12 | 2017 |
| Towards fair patient-trial matching via patient-criterion level fairness constraint CY Chang, J Yuan, S Ding, Q Tan, K Zhang, X Jiang, X Hu, N Zou AMIA Annual Symposium Proceedings 2023, 884, 2023 | 10 | 2023 |
| On the fundamental limit of coded caching systems with a single demand type S Shao, J Gόmez-Vilardebό, K Zhang, C Tian 2019 IEEE Information Theory Workshop (ITW), 1-5, 2019 | 8 | 2019 |
| On the fundamental limits of coded caching systems with restricted demand types S Shao, J Gómez-Vilardebó, K Zhang, C Tian IEEE Transactions on Communications 69 (2), 863-873, 2020 | 7 | 2020 |
| Scalable causal structure learning: Scoping review of traditional and deep learning algorithms and new opportunities in biomedicine P Upadhyaya, K Zhang, C Li, X Jiang, Y Kim JMIR Medical Informatics 11 (1), e38266, 2023 | 6 | 2023 |
| Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network K Zhang, S Karanth, B Patel, R Murphy, X Jiang arXiv preprint arXiv:2102.01147, 2021 | 6 | 2021 |
| Multi-angle BiSAR images enhancement and scatting characteristics analysis T Zeng, D Ao, C Hu, K Zhang, T Zhang 2014 International Radar Conference, 1-5, 2014 | 6 | 2014 |
| A transformer-based deep learning approach for fairly predicting post-liver transplant risk factors C Li, X Jiang, K Zhang Journal of Biomedical Informatics 149, 104545, 2024 | 5 | 2024 |
| Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling C Li, S Ding, N Zou, X Hu, X Jiang, K Zhang Journal of biomedical informatics 143, 104399, 2023 | 5 | 2023 |
| Scalable causal structure learning: new opportunities in biomedicine P Upadhyaya, K Zhang, C Li, X Jiang, Y Kim arXiv preprint arXiv:2110.07785, 2021 | 5 | 2021 |
| Enoxaparin may be associated with lower rates of mortality than unfractionated heparin in neurocritical and surgical patients S Samuel, C To, Y Ling, K Zhang, X Jiang, EV Bernstam Journal of Thrombosis and Thrombolysis 55 (3), 439-448, 2023 | 4 | 2023 |
| Counterfactual analysis of differential comorbidity risk factors in Alzheimer’s disease and related dementias Y Kim, K Zhang, SI Savitz, L Chen, PE Schulz, X Jiang PLOS Digital Health 1 (3), e0000018, 2022 | 4 | 2022 |
| A fast PC algorithm with reversed-order pruning and a parallelization strategy K Zhang, C Tian, K Zhang, T Johnson, X Jiang arXiv preprint arXiv:2109.04626, 2021 | 4 | 2021 |
| Predicting multiple sclerosis severity with multimodal deep neural networks K Zhang, JA Lincoln, X Jiang, EV Bernstam, S Shams BMC Medical Informatics and Decision Making 23 (1), 255, 2023 | 3 | 2023 |
| Predicting multiple sclerosis disease severity with multimodal deep neural networks K Zhang, JA Lincoln, X Jiang, EV Bernstam, S Shams arXiv preprint arXiv:2304.04062, 2023 | 3 | 2023 |
Xiaoqian JiangMcWilliams School of Biomedical Informatics, UTHealth在 uth.tmc.edu 的电子邮件经过验证
