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
71 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
67 2024 EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation Y Zhu, C Ren, Z Wang, X Zheng, S Xie, J Feng, X Zhu, Z Li, L Ma, C Pan
Proceedings of the 33rd ACM International Conference on Information and …, 2024
29 * 2024 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
20 2023 PyEHR: A Predictive Modeling Toolkit for Electronic Health Records Y Zhu, W Wang, J Gao, L Ma
https://github.com/yhzhu99/pyehr, 2023
10 2023 Is larger always better? Evaluating and prompting large language models for non-generative medical tasks Y Zhu, J Gao, Z Wang, W Liao, X Zheng, L Liang, Y Wang, C Pan, ...
arXiv preprint arXiv:2407.18525, 2024
9 * 2024 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
9 * 2024 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
7 2024 PRISM: Mitigating EHR Data Sparsity via Learning from Missing Feature Calibrated Prototype Patient Representations Y Zhu, Z Wang, L He, S Xie, X Zheng, L Ma, C Pan
Proceedings of the 33rd ACM International Conference on Information and …, 2024
5 * 2024 M 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
4 2023 How far are AI-powered programming assistants from meeting developers' needs? X Tan, X Long, X Ni, Y Zhu, J Jiang, L Zhang
arXiv preprint arXiv:2404.12000, 2024
3 2024 Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction W Liao, Y Zhu, Z Wang, X Chu, Y Wang, L Ma
arXiv preprint arXiv:2401.16796, 2024
3 2024 RetCare: Towards Interpretable Clinical Decision Making through LLM-Driven Medical Knowledge Retrieval Z Wang, Y Zhu, J Gao, X Zheng, Y Zeng, Y He, B Jiang, W Tang, ...
KDD'24 Workshop: Artificial Intelligence and Data Science for Healthcare …, 2024
2 2024 Medical MLLM is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models X Huang, X Wang, H Zhang, Y Zhu, J Xi, J An, H Wang, H Liang, C Pan
arXiv preprint arXiv:2405.20775, 2024
2 2024 ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration Z Wang, Y Zhu, H Zhao, X Zheng, T Wang, W Tang, Y Wang, C Pan, ...
arXiv preprint arXiv:2410.02551, 2024
1 2024 EHRFlow: A Large Language Model-Driven Iterative Multi-Agent Electronic Health Record Data Analysis Workflow H Wu, Y Zhu, Z Wang, X Zheng, L Wang, W Tang, Y Wang, C Pan, ...
KDD'24 Workshop: Artificial Intelligence and Data Science for Healthcare …, 2024
1 2024 TAMER: A Test-Time Adaptive MoE-Driven Framework for EHR Representation Learning Y Zhu, X Zheng, A Allam, M Krauthammer
arXiv preprint arXiv:2501.05661, 2025
2025 Protocol to process follow-up electronic medical records of peritoneal dialysis patients to train AI models T Wang, Y Zhu, Z Wang, W Tang, X Zhao, T Wang, Y Wang, J Gao, L Ma, ...
STAR protocols 5 (4), 103335, 2024
2024 Prediction of feeding difficulties in neonates with hypoxic-ischemic encephalopathy using magnetic resonance imaging-derived radiomics features Y Xia, M Yang, T Qian, J Zhou, M Bai, S Luo, C Lu, Y Zhu, L Wang, Z Qiao
Pediatric Radiology 54 (12), 2036-2045, 2024
2024 SuperGS: Super-Resolution 3D Gaussian Splatting Enhanced by Variational Residual Features and Uncertainty-Augmented Learning S Xie, Z Wang, X Wang, Y Zhu, C Pan
arXiv preprint arXiv:2410.02571, 2024
2024 
MA LiantaoPeking UniversityBestätigte E-Mail-Adresse bei pku.edu.cn