| 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 | 160 | 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 | 126 | 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 | 94 | 2017 |
| 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 | 80 | 2022 |
| 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 | 75 | 2024 |
| 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 | 61 | 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 | 33 | 2019 |
| 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 | 29 | 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 | 24 | 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 | 21 | 2023 |
| 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, 15252-15276, 2023 | 13 | 2023 |
| 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 | 11 | 2020 |
| Adaptive activation steering: A tuning-free llm truthfulness improvement method for diverse hallucinations categories T Wang, X Jiao, Y He, Z Chen, Y Zhu, X Chu, J Gao, Y Wang, L Ma arXiv preprint arXiv:2406.00034, 2024 | 9 | 2024 |
| Prompting large language models for zero-shot clinical prediction with structured longitudinal electronic health record data Y Zhu, Z Wang, J Gao, Y Tong, J An, W Liao, EM Harrison, L Ma, C Pan arXiv preprint arXiv:2402.01713, 2024 | 8 | 2024 |
| Emerge: Integrating rag for improved multimodal ehr predictive modeling Y Zhu, C Ren, Z Wang, X Zheng, S Xie, J Feng, X Zhu, Z Li, L Ma, C Pan arXiv preprint arXiv:2406.00036, 2024 | 7 | 2024 |
| 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 2, 899-906, 2019 | 7 | 2019 |
| A comprehensive benchmark for COVID-19 predictive modeling using electronic health records in intensive care J Gao, Y Zhu, W Wang, Z Wang, G Dong, W Tang, H Wang, Y Wang, ... Patterns 5 (4), 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 | 6 | 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 | 5 | 2022 |
| PRISM: Leveraging prototype patient representations with feature-missing-aware calibration for EHR data sparsity mitigation Y Zhu, Z Wang, L He, S Xie, X Zheng, L Ma, C Pan arXiv preprint arXiv:2309.04160, 2023 | 4 | 2023 |
Junyi GaoUniversity of EdinburghПодтвержден адрес электронной почты в домене ed.ac.uk
