| Performance of a chest radiograph ai diagnostic tool for covid-19: A prospective observational study J Sun, L Peng, T Li, D Adila, Z Zaiman, GB Melton-Meaux, NE Ingraham, ... Radiology: Artificial Intelligence 4 (4), e210217, 2022 | 47* | 2022 |
| Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals L Peng, G Luo, A Walker, Z Zaiman, EK Jones, H Gupta, K Kersten, ... Journal of the American Medical Informatics Association 30 (1), 54-63, 2023 | 25 | 2023 |
| Self-validation: Early stopping for single-instance deep generative priors T Li, Z Zhuang, H Liang, L Peng, H Wang, J Sun 32nd British Machine Vision Conference, 2021 | 23 | 2021 |
| An in-depth evaluation of federated learning on biomedical natural language processing for information extraction L Peng, G Luo, S Zhou, J Chen, Z Xu, J Sun, R Zhang NPJ Digital Medicine 7 (1), 127, 2024 | 9* | 2024 |
| Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective Y Travadi, L Peng, X Bi, J Sun, M Yang Statistics and Its Interface, 2023 | 6 | 2023 |
| Rethinking transfer learning for medical image classification L Peng, H Liang, L Gaoxiang, T Li, J Sun 34th British Machine Vision Conference (Oral), 2023 | 5 | 2023 |
| Ability of artificial intelligence to identify self-reported race in chest x-ray using pixel intensity counts JL Burns, Z Zaiman, J Vanschaik, G Luo, L Peng, B Price, G Mathias, ... Journal of Medical Imaging 10 (6), 061106-061106, 2023 | 4 | 2023 |
| Optimization and optimizers for adversarial robustness H Liang, B Liang, L Peng, Y Cui, T Mitchell, J Sun arXiv preprint arXiv:2303.13401, 2023 | 3 | 2023 |
| Imbalanced Classification in Medical Imaging via Regrouping L Peng, Y Travadi, R Zhang, Y Cui, J Sun NeurIPS Workshop on Medical Imaging Meets NeurIPS, 2022 | 3 | 2022 |
| A systematic evaluation of federated learning on biomedical natural language processing L Peng, R Zhang, Z Xu, J Sun KDD 2023 International Workshop on Federated Learning for Distributed Data …, 2023 | 2 | 2023 |
| A proximal augmented Lagrangian based algorithm for federated learning with global and local convex conic constraints C He, L Peng, J Sun Transactions on Machine Learning Research, 2024 | 1* | 2024 |
| Selective Classification Under Distribution Shifts H Liang, L Peng, J Sun arXiv preprint arXiv:2405.05160, 2024 | | 2024 |
| Direct Metric Optimization for Imbalanced Classification Y Travadi, L Peng, Y Cui, J Sun 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI …, 2023 | | 2023 |
| Robust Autoencoders for Collective Corruption Removal T Li, H Wang, L Peng, J Tang, Xian’e, Sun ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | | 2023 |
Ju SunAssistant Professor, Computer Science & Engineering, University of Minnesota at Twin CitiesVerified email at umn.edu
