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20212026
most citedBiomedical Question Answering: A Survey of Approaches and Challenges

115 citations · 133 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CL2026

HALO: Hierarchical Evidence Selection and Reinforcement Learning for Allocating Budgeted Label Optimization from Longitudinal Clinical Records

Huaiyuan Ying, Feiqing Huang, Ryumei Nakada +2

Learning from extensive longitudinal clinical records--spanning repeated encounters, evolving conditions, and heterogeneous documentation--under a finite labeling budget requires s…

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…

cs.CL2022★ 16 cited

BIOS: An Algorithmically Generated Biomedical Knowledge Graph

Sheng Yu, Zheng Yuan, Jun Xia +11

Biomedical knowledge graphs (BioMedKGs) are essential infrastructures for biomedical and healthcare big data and artificial intelligence (AI), facilitating natural language process…

cs.CL2021

Sentence Alignment with Parallel Documents Facilitates Biomedical Machine Translation

Shengxuan Luo, Huaiyuan Ying, Jiao Li +1

Objective: Today's neural machine translation (NMT) can achieve near human-level translation quality and greatly facilitates international communications, but the lack of parallel…

cs.CL2021★ 115 cited

Biomedical Question Answering: A Survey of Approaches and Challenges

Qiao Jin, Zheng Yuan, Guangzhi Xiong +7

Automatic Question Answering (QA) has been successfully applied in various domains such as search engines and chatbots. Biomedical QA (BQA), as an emerging QA task, enables innovat…