| 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 | 537 | 2020 |
| 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 | 11 | 2019 |
| Autovideo: An automated video action recognition system D Zha, ZP Bhat, YW Chen, Y Wang, S Ding, J Chen, KH Lai, MQ Bhat, ... arXiv preprint arXiv:2108.04212, 2021 | 9 | 2021 |
| 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 | 6 | 2022 |
| 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 | 5 | 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, 2022 | 4 | 2022 |
| Score-CAM: Score-weighted visual explanations for convolutional neural networks. arXiv 2020 H Wang, Z Wang, M Du, F Yang, Z Zhang, S Ding, P Mardziel, X Hu arXiv preprint arXiv:1910.01279, 0 | 4 | |
| Score-CAM: score-weighted visual explanations for convolutional neural networks. In 2020 IEEE H Wang, Z Wang, M Du, F Yang, Z Zhang, S Ding, P Mardziel, X Hu CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 0 | 4 | |
| 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 arXiv preprint arXiv:2304.00012, 2023 | 1 | 2023 |
| 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 | | 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 arXiv preprint arXiv:2303.13790, 2023 | | 2023 |
| 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 ICHI 2023, 2023 | | 2023 |
| Graph Contrastive Learning with Model Perturbation Q Tan, S Ding, N Liu, SH Choi, L Li, R Chen, X Hu | | 2022 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice University在 rice.edu 的电子邮件经过验证
