| KerPrint: local-global knowledge graph enhanced diagnosis prediction for retrospective and prospective interpretations K Yang*, Y Xu*, P Zou, H Ding, J Zhao, Y Wang, B Xie Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 5357-5365, 2023 | 23 | 2023 |
| Seqcare: Sequential training with external medical knowledge graph for diagnosis prediction in healthcare data Y Xu*, X Chu*, K Yang, Z Wang, P Zou, H Ding, J Zhao, Y Wang, B Xie Proceedings of the ACM Web Conference 2023, 2819-2830, 2023 | 20 | 2023 |
| HyKGE: A Hypothesis Knowledge Graph Enhanced Framework for Accurate and Reliable Medical LLMs Responses X Jiang*, R Zhang*, Y Xu*, R Qiu, Y Fang, Z Wang, J Tang, H Ding, X Chu, ... arXiv preprint arXiv:2312.15883, 2024 | 19 | 2024 |
| VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data. Y Xu, K Yang, C Zhang, P Zou, Z Wang, H Ding, J Zhao, Y Wang, B Xie IJCAI 23, 4921-4929, 2023 | 13 | 2023 |
| Think and retrieval: A hypothesis knowledge graph enhanced medical large language models X Jiang*, R Zhang*, Y Xu*, R Qiu, Y Fang, Z Wang, J Tang, H Ding, X Chu, ... arXiv preprint arXiv:2312.15883, 2023 | 10 | 2023 |
| TC-RAG: Turing-Complete RAG's Case study on Medical LLM Systems X Jiang, Y Fang, R Qiu, H Zhang, Y Xu, H Chen, W Zhang, R Zhang, ... arXiv preprint arXiv:2408.09199, 2024 | 7 | 2024 |
| Tasl: Continual dialog state tracking via task skill localization and consolidation Y Feng, X Chu, Y Xu, G Shi, B Liu, XM Wu arXiv preprint arXiv:2408.09857, 2024 | 4 | 2024 |
| 时序知识图谱表示学习 徐涌鑫， 赵俊峰， 王亚沙， 谢冰， 杨恺 计算机科学 49 (9), 162-171, 2022 | 4 | 2022 |
| RAGraph: A General Retrieval-Augmented Graph Learning Framework X Jiang*, R Qiu*, Y Xu*, W Zhang, Y Zhu, R Zhang, Y Fang, X Chu, J Zhao, ... NeurIPS 2024, 2024 | 2 | 2024 |
| Parenting: Optimizing knowledge selection of retrieval-augmented language models with parameter decoupling and tailored tuning Y Xu, R Zhang, X Jiang, Y Feng, Y Xiao, X Ma, R Zhu, X Chu, J Zhao, ... arXiv preprint arXiv:2410.10360, 2024 | 2 | 2024 |
| Infinite-horizon graph filters: Leveraging power series to enhance sparse information aggregation R Zhang, X Jiang, Y Fang, J Luo, Y Xu, Y Zhu, X Chu, J Zhao, Y Wang arXiv preprint arXiv:2401.09943, 2024 | 2 | 2024 |
| ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup Y Xu*, X Jiang*, X Chu, Y Xiao, C Zhang, H Ding, J Zhao, Y Wang, B Xie Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
| Knowpo: Knowledge-aware preference optimization for controllable knowledge selection in retrieval-augmented language models R Zhang*, Y Xu*, Y Xiao, R Zhu, X Jiang, X Chu, J Zhao, Y Wang AAAI 2025, 2024 | 1 | 2024 |
| KaPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models R Zhang*, Y Xu*, Y Xiao, R Zhu, X Jiang, X Chu, J Zhao, Y Wang arXiv preprint arXiv:2408.03297, 2024 | 1 | 2024 |
| ITAKE: Interactive Unstructured Text Annotation and Knowledge Extraction System with LLMs and ModelOps J Song, H Ding, Z Wang, Y Xu, Y Wang, J Zhao Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 1 | 2024 |
| Tasl: Task skill localization and consolidation for language model continual learning Y Feng, X Chu, Y Xu, Z Lu, B Liu, PS Yu, XM Wu arXiv e-prints, arXiv: 2408.05200, 2024 | 1 | 2024 |
| 3DS: Decomposed Difficulty Data Selection's Case Study on LLM Medical Domain Adaptation H Ding, Y Fang, R Zhu, X Jiang, J Zhang, Y Xu, X Chu, J Zhao, Y Wang arXiv preprint arXiv:2410.10901, 2024 | | 2024 |
| IntelliCare: Improving Healthcare Analysis with Variance-Controlled Patient-Level Knowledge from Large Language Models Z Yu, Y Jin, Y Xu, X Chu, Y Wang, J Zhao arXiv preprint arXiv:2408.13073, 2024 | | 2024 |
| KIF: Knowledge Identification and Fusion for Language Model Continual Learning Y Feng, X Chu, Y Xu, Z Lu, B Liu, PS Yu, XM Wu arXiv preprint arXiv:2408.05200, 2024 | | 2024 |
| A method and practice for menopausal disease prediction based on knowledge graph Y Fang, Y Xu, H Ding, J Zhao, Y Wang, H Jin 2023 IEEE International Conference on Medical Artificial Intelligence (MedAI …, 2023 | | 2023 |
