Jie Xu
Jie Xu
Health Outcomes & Biomedical Informatics, University of Florida
Verified email at - Homepage
Cited by
Cited by
Federated learning for healthcare informatics
J Xu, BS Glicksberg, C Su, P Walker, J Bian, F Wang
Journal of healthcare informatics research 5, 1-19, 2021
Federated learning of electronic health records to improve mortality prediction in hospitalized patients with COVID-19: machine learning approach
A Vaid, SK Jaladanki, J Xu, S Teng, A Kumar, S Lee, S Somani, ...
JMIR medical informatics 9 (1), e24207, 2021
Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes
H Zhang, C Zang, Z Xu, Y Zhang, J Xu, J Bian, D Morozyuk, D Khullar, ...
Nature Medicine 29 (1), 226-235, 2023
Algorithmic Fairness in Computational Medicine
J Xu, Y Xiao, WH Wang, Y Ning, EA Shenkman, J Bian, F Wang
eBioMedicine 84, 2022
Similarity constraints-based structured output regression machine: An approach to image super-resolution
C Deng, J Xu, K Zhang, D Tao, X Gao, X Li
IEEE transactions on neural networks and learning systems 27 (12), 2472-2485, 2015
A(DP)SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent With Differential Privacy
J Xu, W Zhang, F Wang
IEEE transactions on pattern analysis and machine intelligence 44 (11), 8036 …, 2021
Multi-class support vector machine via maximizing multi-class margins
J Xu, X Liu, Z Huo, C Deng, F Nie, H Huang
The 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017
Compressed multi-scale feature fusion network for single image super-resolution
X Fan, Y Yang, C Deng, J Xu, X Gao
Signal processing 146, 50-60, 2018
Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative
C Zang, Y Zhang, J Xu, J Bian, D Morozyuk, EJ Schenck, D Khullar, ...
Nature Communications 14 (1), 1948, 2023
Bilevel distance metric learning for robust image recognition
J Xu, L Luo, C Deng, H Huang
Advances in neural information processing systems 31, 2018
Data‐driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records
J Xu, F Wang, Z Xu, P Adekkanattu, P Brandt, G Jiang, RC Kiefer, Y Luo, ...
Learning Health Systems 4 (4), e10246, 2020
Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language
PS Brandt, RC Kiefer, JA Pacheco, P Adekkanattu, ET Sholle, FS Ahmad, ...
Learning health systems 4 (4), e10233, 2020
Multi-Level Metric Learning via Smoothed Wasserstein Distance.
J Xu, L Luo, C Deng, H Huang
The 27th International Joint Conference on Artificial Intelligence (IJCAI …, 2018
Federated patient hashing
J Xu, Z Xu, P Walker, F Wang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6486-6493, 2020
Predicting alzheimer¢s disease cognitive assessment via robust low-rank structured sparse model
J Xu, C Deng, X Gao, D Shen, H Huang
IJCAI: proceedings of the conference 2017, 3880, 2017
Subphenotyping depression using machine learning and electronic health records
Z Xu, F Wang, P Adekkanattu, B Bose, V Vekaria, P Brandt, G Jiang, ...
Learning Health Systems 4 (4), e10241, 2020
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease
C Mao, J Xu, L Rasmussen, Y Li, P Adekkanattu, J Pacheco, ...
Journal of Biomedical Informatics 144, 104442, 2023
Early prediction of Alzheimer's disease and related dementias using real‐world electronic health records
Q Li, X Yang, J Xu, Y Guo, X He, H Hu, T Lyu, D Marra, A Miller, G Smith, ...
Alzheimer's & Dementia 19 (8), 3506-3518, 2023
Robust metric learning on grassmann manifolds with generalization guarantees
L Luo, J Xu, C Deng, H Huang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4480-4487, 2019
New robust metric learning model using maximum correntropy criterion
J Xu, L Luo, C Deng, H Huang
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
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