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 | 1428* | 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 | 29 | 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 | 23 | 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 | 12 | 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 | 12 | 2023 |
MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction Y Liu, S Ding, S Zhou, W Fan, Q Tan arXiv preprint arXiv:2406.12950, 2024 | 10 | 2024 |
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 | 6 | 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 |
Large language models for disease diagnosis: A scoping review S Zhou, Z Xu, M Zhang, C Xu, Y Guo, Z Zhan, S Ding, J Wang, K Xu, ... arXiv preprint arXiv:2409.00097, 2024 | 5 | 2024 |
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 |
Understanding Different Design Choices in Training Large Time Series Models YN Chuang, S Li, J Yuan, G Wang, KH Lai, L Yu, S Ding, CY Chang, ... arXiv preprint arXiv:2406.14045, 2024 | 2 | 2024 |
UniGLM: Training One Unified Language Model for Text-Attributed Graphs Y Fang, D Fan, S Ding, N Liu, Q Tan arXiv preprint arXiv:2406.12052, 2024 | 2 | 2024 |
Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review Z Xu, D Scharp, M Hobensack, J Ye, J Zou, S Ding, J Shang, M Topaz Journal of the American Medical Informatics Association 32 (1), 241-252, 2025 | 1 | 2025 |
Interpretable Differential Diagnosis with Dual-Inference Large Language Models S Zhou, M Lin, S Ding, J Wang, GB Melton, J Zou, R Zhang arXiv preprint arXiv:2407.07330, 2024 | 1 | 2024 |
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 |
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 | 1 | 2024 |
Correction to: Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review JY Hobensack, J Zou, S Ding, J Shang, M Topaz Journal of the American Medical Informatics Association 32 (2), 413, 2025 | | 2025 |