| Score-CAM: Score-weighted visual explanations for convolutional neural networks H Wang, Z Wang, M Du, F Yang, Z Zhang, S Ding, P Mardziel, X Hu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 1330* | 2020 |
| Towards automated imbalanced learning with deep hierarchical reinforcement learning D Zha, KH Lai, Q Tan, S Ding, N Zou, XB Hu Proceedings of the 31st ACM International Conference on Information …, 2022 | 25 | 2022 |
| Cascaded convolutional neural network with attention mechanism for mobile EEG-based driver drowsiness detection system S Ding, Z Yuan, P An, G Xue, W Sun, J Zhao 2019 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2019 | 20 | 2019 |
| 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, 2023 | 14 | 2023 |
| Autovideo: An automated video action recognition system D Zha, ZP Bhat, YW Chen, Y Wang, S Ding, J Chen, KH Lai, MQ Bhat, ... IJCAI 2022, 2021 | 14 | 2021 |
| 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 | 10 | 2023 |
| 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 2023, 2023 | 10 | 2023 |
| A novel EEG sleep staging method for wearable devices based on amplitude-time mapping P An, W Si, S Ding, G Xue, Z Yuan 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics …, 2019 | 6 | 2019 |
| PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data S Zhang, H Li, R Tang, S Ding, L Rasmy, D Zhi, N Zou, X Hu The 11th IEEE International Conference on Healthcare Informatics (ICHI 2023), 2023 | 5 | 2023 |
| Graph contrastive learning with model perturbation Q Tan, S Ding, N Liu, SH Choi, L Li, R Chen, X Hu | 4 | 2022 |
| 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 2023, 2023 | 3 | 2023 |
| Identify and mitigate bias in electronic phenotyping: A comprehensive study from computational perspective S Ding, S Zhang, X Hu, N Zou Journal of Biomedical Informatics, 104671, 2024 | 1 | 2024 |
| HUMAN-CENTERED AI FOR PRECISION MEDICINE: METHODS AND APPLICATIONS S DING Texas A&M University, 2024 | | 2024 |
| Distilling the Knowledge from Large-language Model for Health Event Prediction S Ding, J Ye, X Hu, N Zou medRxiv, 2024.06. 23.24309365, 2024 | | 2024 |
| Development and Application of Natural Language Processing on Unstructured Data in Hypertension: A Scoping Review J Ye, L He, J Hai, C Xu, S Ding, M Beestrum medRxiv, 2024.02. 27.24303468, 2024 | | 2024 |
| Towards Precise and Equitable Organ Allocation in Transplant with Machine Learning S Ding 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI …, 2023 | | 2023 |
| Fair Patient-Trial Matching for Underrepresented Groups Chia-Yuan Chang, Sirui Ding, Jiayi Yuan, Kai Zhang, Xiaoqian Jian, Xia NZ Hu | | |
