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
114 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
95 2020 PSAllocator: Multi-task allocation for participatory sensing with sensing capability constraints J Wang, Y Wang, D Zhang, F Wang, Y He, L Ma
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative …, 2017
90 2017 GRASP: generic framework for health status representation learning based on incorporating knowledge from similar patients C Zhang, X Gao, L Ma, Y Wang, J Wang, W Tang
Proceedings of the AAAI conference on artificial intelligence 35 (1), 715-723, 2021
35 2021 M3care: Learning with missing modalities in multimodal healthcare data C Zhang, X Chu, L Ma, Y Zhu, Y Wang, J Wang, J Zhao
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
30 2022 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 MUSEFood: Multi-Sensor-based food volume estimation on smartphones J Gao, W Tan, L Ma, Y Wang, W Tang
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019
27 2019 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, 2022
9 2022 Estimating urban road GPS environment friendliness with bus trajectories: A city-scale approach L Ma, C Zhang, Y Wang, G Peng, C Chen, J Zhao, J Wang
Sensors 20 (6), 1580, 2020
9 2020 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
8 2023 Lightm-unet: Mamba assists in lightweight unet for medical image segmentation W Liao, Y Zhu, X Wang, C Pan, Y Wang, L Ma
arXiv preprint arXiv:2403.05246, 2024
7 2024 Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications X Ma, X Chu, Y Wang, Y Lin, J Zhao, L Ma, W Zhu
Advances in Neural Information Processing Systems 36, 2024
6 2024 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 A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing the Best Model for COVID-19 Prognosis J Gao, Y Zhu, W Wang, Y Wang, W Tang, L Ma
4 2022 Musefood: Multi-sensor-based food volume estimation on smartphones. In 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable … J Gao, W Tan, L Ma, Y Wang, W Tang
IEEE, 899ś906, 2019
4 2019 M Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method Y Zhu, J An, E Zhou, L An, J Gao, H Li, H Feng, B Hou, W Tang, C Pan, ...
arXiv preprint arXiv:2306.04118, 2023
3 2023 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
3 2020 A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care J Gao, Y Zhu, W Wang, Y Wang, W Tang, EM Harrison, L Ma
arXiv preprint arXiv:2209.07805, 2022
2 2022 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 Leveraging Prototype Patient Representations with Feature-Missing-Aware Calibration to Mitigate EHR Data Sparsity Y Zhu, Z Wang, L He, S Xie, Z Chen, J An, L Ma, C Pan
arXiv preprint arXiv:2309.04160, 2023
1 2023