Wikipedia-Based Entity Semantifying in Open Information Extraction. - Qiuhao Lu; Youtian Du (ICDAR, 2017)

Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies. - Qiuhao Lu; Nisansa de Silva; Sabin Kafle; Jiazhen Cao; Dejing Dou; Thien Huu Nguyen; Prithviraj Sen; Brent Hailpern; Berthold Reinwald; Yunyao Li 001 (BCB, 2019)

Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization. - Qiuhao Lu; Nisansa de Silva; Dejing Dou; Thien Huu Nguyen; Prithviraj Sen; Berthold Reinwald; Yunyao Li 001 (COLING, 2020)

LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking. - Hang Jiang; Sairam Gurajada; Qiuhao Lu; Sumit Neelam; Lucian Popa 001; Prithviraj Sen; Yunyao Li 001; Alexander G. Gray (ACL/IJCNLP (1), 2021)

Textual Data Augmentation for Patient Outcomes Prediction. - Qiuhao Lu; Dejing Dou; Thien Huu Nguyen (BIBM, 2021)

Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models. - Qiuhao Lu; Dejing Dou; Thien Huu Nguyen (EMNLP (Findings), 2021)

Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution. - Qiuhao Lu; Thien Huu Nguyen; Dejing Dou (SIGIR, 2021)

ClinicalT5: A Generative Language Model for Clinical Text. - Qiuhao Lu; Dejing Dou; Thien Huu Nguyen (EMNLP (Findings), 2022)

Wonder at Chemotimelines 2024: MedTimeline: An End-to-End NLP System for Timeline Extraction from Clinical Narratives. - Liwei Wang 010; Qiuhao Lu; Rui Li; Sunyang Fu; Hongfang Liu (ClinicalNLP@NAACL, 2024)

Large Language Models Struggle in Token-Level Clinical Named Entity Recognition. - Qiuhao Lu; Rui Li; Andrew Wen; Jinlian Wang; Liwei Wang 010; Hongfang Liu (CoRR, 2024)

Explainable Diagnosis Prediction through Neuro-Symbolic Integration. - Qiuhao Lu; Rui Li; Elham Sagheb; Andrew Wen; Jinlian Wang; Liwei Wang 010; Jungwei W. Fan 001; Hongfang Liu (CoRR, 2024)

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness. - Fali Wang; Zhiwei Zhang; Xianren Zhang; Zongyu Wu 001; Tzuhao Mo; Qiuhao Lu; Wanjing Wang; Rui Li; Junjie Xu; Xianfeng Tang; Qi He 002; Yao Ma 001; et al. (CoRR, 2024)

Dynamic few-shot prompting for clinical note section classification using lightweight, open-source large language models. - Kurt Miller; Steven Bedrick; Qiuhao Lu; Andrew Wen; William R. Hersh; Kirk Roberts; Hongfang Liu (J. Am. Medical Informatics Assoc., 2025)

A scoping review of OMOP CDM adoption for cancer research using real world data. - Liwei Wang 010; Andrew Wen; Sunyang Fu; Xiaoyang Ruan; Ming Huang 006; Rui Li; Qiuhao Lu; Heather Lyu; Andrew E. Williams; Hongfang Liu (npj Digit. Medicine, 2025)