| Automatic generation of medical imaging diagnostic report with hierarchical recurrent neural network C Yin, B Qian, J Wei, X Li, X Zhang, Y Li, Q Zheng 2019 IEEE international conference on data mining (ICDM), 728-737, 2019 | 116 | 2019 |
| Deep similarity-based batch mode active learning with exploration-exploitation C Yin, B Qian, S Cao, X Li, J Wei, Q Zheng, I Davidson 2017 IEEE international conference on data mining (ICDM), 575-584, 2017 | 80 | 2017 |
| Classify EEG and reveal latent graph structure with spatio-temporal graph convolutional neural network X Li, B Qian, J Wei, A Li, X Liu, Q Zheng 2019 IEEE International Conference on Data Mining (ICDM), 389-398, 2019 | 31 | 2019 |
| Classifying breast cancer histopathological images using a robust artificial neural network architecture X Zhang, Y Zhang, B Qian, X Liu, X Li, X Wang, C Yin, X Lv, L Song, ... Bioinformatics and Biomedical Engineering: 7th International Work-Conference …, 2019 | 30 | 2019 |
| Bat: Beat-aligned transformer for electrocardiogram classification X Li, C Li, Y Wei, Y Sun, J Wei, X Li, B Qian 2021 IEEE International Conference on Data Mining (ICDM), 320-329, 2021 | 20 | 2021 |
| An interpretable fast model for predicting the risk of heart failure X Zhang, B Qian, X Li, J Wei, Y Zheng, L Song, Q Zheng Proceedings of the 2019 SIAM International Conference on Data Mining, 576-584, 2019 | 20 | 2019 |
| Knowledge guided short-text classification for healthcare applications S Cao, B Qian, C Yin, X Li, J Wei, Q Zheng, I Davidson 2017 IEEE International Conference on Data Mining (ICDM), 31-40, 2017 | 15 | 2017 |
| Domain knowledge guided deep atrial fibrillation classification and its visual interpretation X Li, B Qian, J Wei, X Zhang, S Chen, Q Zheng Proceedings of the 28th ACM International Conference on Information and …, 2019 | 11 | 2019 |
| Towards generalization of cardiac abnormality classification using ECG signal X Li, C Li, X Xu, Y Wei, J Wei, Y Sun, B Qian, X Xu 2021 Computing in Cardiology (CinC) 48, 1-4, 2021 | 8 | 2021 |
| Longitudinal Wrist PPG Analysis for Reliable Hypertension Risk Screening Using Deep Learning H Lin, J Li, R Hussein, X Sui, X Li, G Zhu, AK Katsaggelos, Z Zeng, Y Li arXiv preprint arXiv:2411.11863, 2024 | | 2024 |
| Continuous Blood Pressure Monitoring and Hypertension Risk Screening Using Smart Watch X Li, R Hussein, G Zhu, X Sui, H Li, X Yang, Z Zeng, Y Li 2024 46th Annual International Conference of the IEEE Engineering in …, 2024 | | 2024 |
| Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure C Bian, X Li, Q Bi, G Zhu, J Lyu, W Zhang, Y Li, Z Zeng Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11087 …, 2024 | | 2024 |
| Risk-prediction model for incident hypertension in patients with obstructive sleep apnea based on SpO2 signals J You, J Li, X Li, H Li, J Tu, Y Zhang, J Gao, J Wu, J Ye 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| Learning to Reweight Samples with Offline Loss Sequence Y Wei, X Li, J Wei, B Qian, C Li 2021 IEEE International Conference on Data Mining (ICDM), 719-728, 2021 | | 2021 |
Changchang YinThe Ohio State UniversityBestätigte E-Mail-Adresse bei osu.edu