Jie Xu
Jie Xu
Department of Population Health Sciences, Weill Cornell Medicine, Cornell University
Verified email at med.cornell.edu - Homepage
Title
Cited by
Cited by
Year
Federated learning for healthcare informatics
J Xu, BS Glicksberg, C Su, P Walker, J Bian, F Wang
Journal of Healthcare Informatics Research 5 (1), 1-19, 2021
982021
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
372015
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
252017
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
192018
Bilevel distance metric learning for robust image recognition
J Xu, L Luo, C Deng, H Huang
Advances in neural information processing systems 31, 4198-4207, 2018
192018
Federated learning of electronic health records improves mortality prediction in patients hospitalized with COVID-19
A Vaid, SK Jaladanki, J Xu, S Teng, A Kumar, S Lee, S Somani, ...
medRxiv, 2020
17*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
142017
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
92018
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
72018
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
62020
Coupled fisher discrimination dictionary learning for single image super-resolution
S Ye, C Deng, J Xu, X Gao
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
62015
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
52019
Image super-resolution using multi-layer support vector regression
J Xu, C Deng, X Gao, D Tao, X Li
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
52014
Federated patient hashing
J Xu, Z Xu, P Walker, F Wang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6486-6493, 2020
32020
Image super-resolution based on sparse representation with joint constraints
J Xu, C Deng, X Liu, J Li
Proceedings of International Conference on Internet Multimedia Computing and …, 2014
32014
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
22020
A(DP)SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy
J Xu, W Zhang, F Wang
arXiv preprint arXiv:2008.09246, 2020
22020
Orthogonality-Promoting Dictionary Learning via Bayesian Inference
L Luo, J Xu, C Deng, H Huang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4472-4479, 2019
22019
Image super resolution using Gaussian Process Regression with patch clustering
F Xie, C Deng, J Xu, J Yu, J Li
Proceedings of the Fifth International Conference on Internet Multimedia …, 2013
22013
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
12020
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