KnowLab

Publications

selected publications

Abul Hasan, Jinge Wu, Quang Ngoc Nguyen, Salomé Andres, Imane Guellil, Huayu Zhang, Arlene Casey, Beatrice Alex, Bruce Guthrie, Honghan Wu. “Infusing clinical knowledge into tokenisers for language models.” arXiv preprint arXiv:2406.14312 (2024). arXiv:2406.14312

Wu, Jinge, Hang Dong, Zexi Li, Arijit Patra, Honghan Wu. “Retrieving and Refining: A Hybrid Framework with Large Language Models for Rare Disease Identification.” arXiv preprint 2405.10440 (2024). arXiv:2405.10440

Kim, Yunsoo, Jinge Wu, Yusuf Abdulle, Yue Gao, and Honghan Wu. “Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns.” arXiv preprint arXiv:2404.02370 (2024). Accepted by MICCAI 2024. arXiv:2404.02370

Emily Groves, Minhong Wang, Yusuf Abdulle, Holger Kunz, Jason Hoelscher-Obermaier, Ronin Wu, and Honghan Wu. “Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest.” arXiv preprint arXiv:2312.12989 (2023). arXiv:2312.12989

Aneeta Sylolypavan, Derek Sleeman, Honghan Wu, and Malcolm Sim. “The impact of inconsistent human annotations on AI driven clinical decision making.” npj Digital Medicine 6, 26 (2023). DOI:10.1038/s41746-023-00773-3 .

Honghan Wu, Minhong Wang, Jinge Wu, Farah Francis, Yun-Hsuan Chang, Alex Shavick, Hang Dong, et al. “A Survey on Clinical Natural Language Processing in the United Kingdom from 2007 to 2022”. npj Digital Medicine 5, 186 (2022). DOI:10.1038/s41746-022-00730-6 .

Hang Dong, Matúš Falis, William Whiteley, Beatrice Alex, Joshua Matterson, Shaoxiong Ji, JiaoyanChen & Honghan Wu. “Automated Clinical Coding - What, Why, and Where We Are.” npj Digital Medicine 5, 159 (2022). DOI:10.1038/s41746-022-00705-7 .

Honghan Wu, Minhong Wang, Aneeta Sylolypavan, Sarah Wild. “Quantifying Health Inequalities Induced by Data and AI Models”. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22), Special Track on AI for Good. Vienna 23-29 July, 2022. IJCAI-Proceedings, preprint, slides, recording, repo.

recent publications (2017 ~)

2024

2023

2022

2021

2020

2019

2018

2017