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 | 56 | 2021 |
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 | 36 | 2015 |
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 | 24 | 2017 |
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 | 17 | 2018 |
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 | 16 | 2018 |
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 | 12 | 2017 |
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 | 8 | 2018 |
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 | 6 | 2021 |
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 | 6 | 2018 |
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 | 6 | 2015 |
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 | 5 | 2014 |
Federated patient hashing J Xu, Z Xu, P Walker, F Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6486-6493, 2020 | 3 | 2020 |
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 | 3 | 2019 |
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 | 3 | 2014 |
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 | 2 | 2019 |
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 | 2 | 2013 |
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 | 1 | 2020 |
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 | 1 | 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 | 1 | 2020 |
A(DP)SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy J Xu, W Zhang, F Wang arXiv preprint arXiv:2008.09246, 2020 | 1 | 2020 |