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Kai Zhang
Kai Zhang
Verified email at uth.tmc.edu
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Year
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
422018
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
142022
From uncoded prefetching to coded prefetching in coded caching
C Tian, K Zhang
arXiv 1704, 2017
132017
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
122021
On the symmetry reduction of information inequalities
K Zhang, C Tian
IEEE Transactions on Communications 66 (6), 2396-2408, 2017
122017
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
102022
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
82023
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
82019
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
72020
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
62021
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
62014
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
52023
Scalable causal structure learning: New opportunities in biomedicine
P Upadhyaya, K Zhang, C Li, X Jiang, Y Kim
arXiv preprint arXiv:2110.07785, 2021
52021
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
42024
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
42022
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
42021
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
32023
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
32023
Multi-task learning for post-transplant cause of death analysis: A case study on liver transplant
S Ding, Q Tan, C Chang, N Zou, K Zhang, NR Hoot, X Jiang, X Hu
AMIA Annual Symposium Proceedings 2023, 913, 2023
32023
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
22023
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