activity
20232026
most citedGENIE: Generative Note Information Extraction model for structuring EHR data

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

A specialized reasoning large language model for accelerating rare disease diagnosis: a randomized AI physician assistance trial

Haichao Chen, Songchi Zhou, Zhengyun Zhao +28

Rare diseases affect millions of individuals worldwide, yet timely diagnosis remains a major public health challenge due to scarcity of specialized clinical expertise. While large…

cs.IR2025

DR.EHR: Dense Retrieval for Electronic Health Record with Knowledge Injection and Synthetic Data

Zhengyun Zhao, Huaiyuan Ying, Yue Zhong +1

Electronic Health Records (EHRs) are pivotal in clinical practices, yet their retrieval remains a challenge mainly due to semantic gap issues. Recent advancements in dense retrieva…

cs.IR2025

CliniQ: A Multi-faceted Benchmark for Electronic Health Record Retrieval with Semantic Match Assessment

Zhengyun Zhao, Hongyi Yuan, Jingjing Liu +5

Electronic Health Record (EHR) retrieval plays a pivotal role in various clinical tasks, but its development has been severely impeded by the lack of publicly available benchmarks.…

cs.CL2025★ 2 cited

GENIE: Generative Note Information Extraction model for structuring EHR data

Huaiyuan Ying, Hongyi Yuan, Jinsen Lu +6

Electronic Health Records (EHRs) hold immense potential for advancing healthcare, offering rich, longitudinal data that combines structured information with valuable insights from…

cs.CL2024

A Question Answering Based Pipeline for Comprehensive Chinese EHR Information Extraction

Huaiyuan Ying, Sheng Yu

Electronic health records (EHRs) hold significant value for research and applications. As a new way of information extraction, question answering (QA) can extract more flexible inf…

cs.CL2023

CoRTEx: Contrastive Learning for Representing Terms via Explanations with Applications on Constructing Biomedical Knowledge Graphs

Huaiyuan Ying, Zhengyun Zhao, Yang Zhao +2

Objective: Biomedical Knowledge Graphs play a pivotal role in various biomedical research domains. Concurrently, term clustering emerges as a crucial step in constructing these kno…