An Improved Algorithm for Estimating the Distribution of RNA-related Genomic Features. - Jinge Wu; Lihan Zhang; Yuanzhe Wang; Jia Meng 001; Jionglong Su; Yue Wang 060 (BIBE, 2020)

Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory. - Mingwen Liu; Junbang Huo; Yulin Wu; Jinge Wu (CoRR, 2021)

Edinburgh_UCL_Health@SMM4H'22: From Glove to Flair for handling imbalanced healthcare corpora related to Adverse Drug Events, Change in medication and self-reporting vaccination. - Imane Guellil; Jinge Wu; Honghan Wu; Tony Sun; Beatrice Alex (SMM4H@COLING, 2022)

Adverse Childhood Experiences Identification from Clinical Notes with Ontologies and NLP. - Jinge Wu; Rowena Smith; Honghan Wu (CoRR, 2022)

Ontology-Driven Self-Supervision for Adverse Childhood Experiences Identification Using Social Media Datasets. - Jinge Wu; Rowena Smith; Honghan Wu (CoRR, 2022)

A survey on clinical natural language processing in the United Kingdom from 2007 to 2022. - Honghan Wu; Minhong Wang 002; Jinge Wu; Farah Francis; Yun-Hsuan Chang; Alex Shavick; Hang Dong 002; Michael Tin Chung Poon; Natalie K. Fitzpatrick; Adam P. Levine; Luke T. Slater; Alex Handy; et al. (npj Digit. Medicine, 2022)

KnowLab at RadSum23: comparing pre-trained language models in radiology report summarization. - Jinge Wu; Daqian Shi; Abul Hasan; Honghan Wu (BioNLP@ACL, 2023)

Exploring Multimodal Large Language Models for Radiology Report Error-checking. - Jinge Wu; Yunsoo Kim; Eva C. Keller; Jamie Chow; Adam P. Levine; Nikolas Pontikos; Zina M. Ibrahim; Paul Taylor; Michelle C. Williams; Honghan Wu (CoRR, 2023)

KnowLab_AIMed at MEDIQA-CORR 2024: Chain-of-Though (CoT) prompting strategies for medical error detection and correction. - Zhaolong Wu; Abul Hasan; Jinge Wu; Yunsoo Kim; Jason Pui Yin Cheung; Teng Zhang; Honghan Wu (ClinicalNLP@NAACL, 2024)

MedExQA: Medical Question Answering Benchmark with Multiple Explanations. - Yunsoo Kim; Jinge Wu; Yusuf Abdulle; Honghan Wu (BioNLP@ACL, 2024)

Hallucination Benchmark in Medical Visual Question Answering. - Jinge Wu; Yunsoo Kim; Honghan Wu (Tiny Papers @ ICLR, 2024)

Enhancing Human-Computer Interaction in Chest X-Ray Analysis Using Vision and Language Model with Eye Gaze Patterns. - Yunsoo Kim; Jinge Wu; Yusuf Abdulle; Yue Gao 012; Honghan Wu (MICCAI (3), 2024)

Human-in-the-Loop Chest X-Ray Diagnosis: Enhancing Large Multimodal Models with Eye Fixation Inputs. - Yunsoo Kim; Jinge Wu; Yusuf Abdulle; Yue Gao 012; Honghan Wu (TAI4H, 2024)

Retrieving and Refining: A Hybrid Framework with Large Language Models for Rare Disease Identification. - Jinge Wu; Hang Dong 002; Zexi Li; Arijit Patra; Honghan Wu (CoRR, 2024)

RadBARTsum: Domain Specific Adaption of Denoising Sequence-to-Sequence Models for Abstractive Radiology Report Summarization. - Jinge Wu; Abul Hasan; Honghan Wu (CoRR, 2024)

Chain-of-Though (CoT) prompting strategies for medical error detection and correction. - Zhaolong Wu; Abul Hasan; Jinge Wu; Yunsoo Kim; Jason Pui Yin Cheung; Teng Zhang; Honghan Wu (CoRR, 2024)

Infusing clinical knowledge into tokenisers for language models. - Abul Hasan; Jinge Wu; Quang Ngoc Nguyen; Salomé Andres; Imane Guellil; Huayu Zhang; Arlene Casey; Beatrice Alex; Bruce Guthrie; Honghan Wu (CoRR, 2024)

Harnessing Knowledge Retrieval with Large Language Models for Clinical Report Error Correction. - Jinge Wu; Zhaolong Wu; Abul Hasan; Yunsoo Kim; Jason Pui Yin Cheung; Teng Zhang; Honghan Wu (CoRR, 2024)

SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation. - Jinge Wu; Yunsoo Kim; Daqian Shi; David A. Clifton; Fenglin Liu; Honghan Wu (CoRR, 2024)

Optimising the paradigms of human AI collaborative clinical coding. - Yue Gao 012; Yuepeng Chen; Minghao Wang; Jinge Wu; Yunsoo Kim; Kaiyin Zhou; Miao Li 003; Xien Liu; Xiangling Fu; Ji Wu 002; Honghan Wu (npj Digit. Medicine, 2024)

A hybrid framework with large language models for rare disease phenotyping. - Jinge Wu; Hang Dong 002; Zexi Li; Haowei Wang; Runci Li; Arijit Patra; Chengliang Dai; Waqar Ali; Phil Scordis; Honghan Wu (BMC Medical Informatics Decis. Mak., 2024)

Look & Mark: Leveraging Radiologist Eye Fixations and Bounding boxes in Multimodal Large Language Models for Chest X-ray Report Generation. - Yunsoo Kim; Jinge Wu; Su Hwan Kim 007; Pardeep Vasudev; Jiashu Shen; Honghan Wu (ACL (Findings), 2025)

Towards exploring continual learning for toxicologic pathology in pharmaceutical drug discovery. - Arijit Patra; Jinge Wu; Honghan Wu; Anshul Thakur (CVPR Workshops, 2025)

Attentive Latent Replay for Continual Learning in Pathology. - Arijit Patra; Jinge Wu; Vaanathi Sundaresan; Honghan Wu; Phil Scordis (ISBI, 2025)

DMRN: A Dynamical Multi-Order Response Network for the Robust Lung Airway Segmentation. - Sheng Zhang 024; Jinge Wu; Junzhi Ning; Guang Yang 006 (WACV, 2025)

Infusing clinical knowledge into language models by subword optimisation and embedding initialisation. - Abul Hasan; Jinge Wu; Quang Ngoc Nguyen; Salomé Andres; Imane Guellil; Huayu Zhang; Arlene Casey; Beatrice Alex; Bruce Guthrie; Honghan Wu (Comput. Biol. Medicine, 2025)

RiskAgent: Autonomous Medical AI Copilot for Generalist Risk Prediction. - Fenglin Liu; Jinge Wu; Hongjian Zhou; Xiao Gu 003; Soheila Molaei; Anshul Thakur; Lei A. Clifton; Honghan Wu; David A. Clifton (CoRR, 2025)

Minuscule Cell Detection in AS-OCT Images with Progressive Field-of-View Focusing. - Boyu Chen; Ameenat L. Solebo; Daqian Shi; Jinge Wu; Paul Taylor (CoRR, 2025)

Towards deployment-centric multimodal AI beyond vision and language. - Xianyuan Liu; Jiayang Zhang; Shuo Zhou; Thijs L. van der Plas; Avish Vijayaraghavan; Anastasiia Grishina; Mengdie Zhuang; Daniel Schofield; Christopher Tomlinson; Yuhan Wang; Ruizhe Li; Louisa van Zeeland; et al. (CoRR, 2025)

RadEyeVideo: Enhancing general-domain Large Vision Language Model for chest X-ray analysis with video representations of eye gaze. - Yunsoo Kim; Jinge Wu; Honghan Wu (CoRR, 2025)