| Concare: Personalized clinical feature embedding via capturing the healthcare context L Ma, C Zhang, Y Wang, W Ruan, J Wang, W Tang, X Ma, X Gao, J Gao Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 833-840, 2020 | 121 | 2020 |
| Adacare: Explainable clinical health status representation learning via scale-adaptive feature extraction and recalibration L Ma, J Gao, Y Wang, C Zhang, J Wang, W Ruan, W Tang, X Gao, X Ma Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 825-832, 2020 | 104 | 2020 |
| Distilling knowledge from publicly available online EMR data to emerging epidemic for prognosis L Ma, X Ma, J Gao, X Jiao, Z Yu, C Zhang, W Ruan, Y Wang, W Tang, ... Proceedings of the Web Conference 2021, 3558-3568, 2021 | 27 | 2021 |
| Patient health representation learning via correlational sparse prior of medical features X Ma, Y Wang, X Chu, L Ma, W Tang, J Zhao, Y Yuan, G Wang IEEE Transactions on Knowledge and Data Engineering 35 (11), 11769-11783, 2022 | 13 | 2022 |
| Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients L Ma, C Zhang, J Gao, X Jiao, Z Yu, Y Zhu, T Wang, X Ma, Y Wang, ... Patterns 4 (12), 2023 | 11 | 2023 |
| Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications X Ma, X Chu, Y Wang, Y Lin, J Zhao, L Ma, W Zhu Thirty-seventh Conference on Neural Information Processing Systems, 2023, 2023 | 10 | 2023 |
| Application of recurrent neural network in prognosis of peritoneal dialysis W Tang, JY Gao, XY Ma, CH Zhang, LT Ma, YS Wang Beijing da xue xue bao. Yi xue ban= Journal of Peking University. Health …, 2019 | 5 | 2019 |
| Covidcare: Transferring knowledge from existing emr to emerging epidemic for interpretable prognosis L Ma, X Ma, J Gao, C Zhang, Z Yu, X Jiao, W Ruan, Y Wang, W Tang, ... arXiv preprint arXiv:2007.08848, 2020 | 4 | 2020 |
| Lora dropout as a sparsity regularizer for overfitting control Y Lin, X Ma, X Chu, Y Jin, Z Yang, Y Wang, H Mei arXiv preprint arXiv:2404.09610, 2024 | 3 | 2024 |
| Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation X Ma, X Chu, Z Yang, Y Lin, X Gao, J Zhao Forty-first International Conference on Machine Learning, 2024, 2024 | 2 | 2024 |
| 循环神经网络模型在腹膜透析临床预后预测中的初步应用 唐雯， 高峻逸， 马辛宇， 张超贺， 马连韬， 王亚沙 Journal of Peking University (Health Sciences) 51 (3), 602, 2019 | 2 | 2019 |
| 面向鲁棒图结构防御的过参数化图神经网络 初旭， 马辛宇， 林阳， 王鑫， 王亚沙， 朱文武， 梅宏 软件学报, 1-19, 2024 | | 2024 |
| Positive Sample Augmentation with Graph Mixup for DDI Prediction H Yu, X Ma, X Chu, Y Wang, R Wu, Q Zhou 2023 IEEE International Conference on Medical Artificial Intelligence (MedAI …, 2023 | | 2023 |
| A Transfer-Learning-Based Prognosis Prediction Paradigm that Bridges Data Distribution Shift across EMR Datasets Z Zhang, Y Wang, Y Zhu, X Ma, T Wang, C Zhang, Y Wang, L Ma arXiv preprint arXiv:2310.07799, 2023 | | 2023 |
| MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering X Ma, X Chu, Y Wang, H Yu, L Ma, W Tang, J Zhao arXiv preprint arXiv:2204.10011, 2022 | | 2022 |
