| Cold-start data selection for better few-shot language model fine-tuning: A prompt-based uncertainty propagation approach Y Yu, R Zhang, R Xu, J Zhang, J Shen, C Zhang Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 30* | 2023 |
| Counterfactual and factual reasoning over hypergraphs for interpretable clinical predictions on ehr R Xu, Y Yu, C Zhang, MK Ali, JC Ho, C Yang Machine Learning for Health, 259-278, 2022 | 23 | 2022 |
| Ehragent: Code empowers large language models for complex tabular reasoning on electronic health records W Shi, R Xu, Y Zhuang, Y Yu, J Zhang, H Wu, Y Zhu, J Ho, C Yang, ... arXiv preprint arXiv:2401.07128, 2024 | 19* | 2024 |
| Neighborhood-regularized self-training for learning with few labels R Xu, Y Yu, H Cui, X Kan, Y Zhu, J Ho, C Zhang, C Yang AAAI 2023, 2023 | 19 | 2023 |
| Learning task-aware effective brain connectivity for fmri analysis with graph neural networks Y Yu, X Kan, H Cui, R Xu, Y Zheng, X Song, Y Zhu, K Zhang, R Nabi, ... 2022 IEEE International Conference on Big Data (Big Data), 4995-4996, 2022 | 19* | 2022 |
| Weakly-supervised scientific document classification via retrieval-augmented multi-stage training R Xu, Y Yu, J Ho, C Yang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 14 | 2023 |
| Knowledge-infused prompting: Assessing and advancing clinical text data generation with large language models R Xu, H Cui, Y Yu, X Kan, W Shi, Y Zhuang, W Jin, J Ho, C Yang | 13 | 2023 |
| A survey on knowledge graphs for healthcare: Resources, applications, and promises H Cui, J Lu, S Wang, R Xu, W Ma, S Yu, Y Yu, X Kan, C Ling, J Ho, ... ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023 | 12 | 2023 |
| R-Mixup: Riemannian Mixup for Biological Networks X Kan, Z Li, H Cui, Y Yu, R Xu, S Yu, Z Zhang, Y Guo, C Yang KDD 2023, 2023 | 8 | 2023 |
| Hypergraph transformers for ehr-based clinical predictions R Xu, MK Ali, JC Ho, C Yang AMIA Summits on Translational Science Proceedings 2023, 582, 2023 | 8 | 2023 |
| Ram-ehr: Retrieval augmentation meets clinical predictions on electronic health records R Xu, W Shi, Y Yu, Y Zhuang, B Jin, MD Wang, JC Ho, C Yang ACL 2024, 2024 | 6 | 2024 |
| Bmretriever: Tuning large language models as better biomedical text retrievers R Xu, W Shi, Y Yu, Y Zhuang, Y Zhu, MD Wang, JC Ho, C Zhang, C Yang arXiv preprint arXiv:2404.18443, 2024 | 5 | 2024 |
| Multimodal fusion of ehr in structures and semantics: Integrating clinical records and notes with hypergraph and llm H Cui, X Fang, R Xu, X Kan, JC Ho, C Yang arXiv preprint arXiv:2403.08818, 2024 | 5 | 2024 |
| MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning W Shi, R Xu, Y Zhuang, Y Yu, H Wu, C Yang, MD Wang arXiv preprint arXiv:2405.03000, 2024 | 2 | 2024 |
| Open visual knowledge extraction via relation-oriented multimodality model prompting H Cui, X Fang, Z Zhang, R Xu, X Kan, X Liu, Y Yu, M Li, Y Song, C Yang Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation J Shen, R Xu, Y Jun, Z Qin, T Liu, C Yang, Y Liang, S Baumgartner, ... arXiv preprint arXiv:2407.16008, 2024 | | 2024 |
| TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data Z Zhang, H Cui, R Xu, Y Xie, JC Ho, C Yang arXiv preprint arXiv:2406.10061, 2024 | | 2024 |
| From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR R Xu, Y Lu, C Liu, Y Chen, Y Sun, X Hu, JC Ho, C Yang CHIL 2024 1, 16, 2024 | | 2024 |
Carl J. YangAssistant Professor of Computer Science at Emory University在 emory.edu 的电子邮件经过验证
