Honghan Wu - RankMe

119 papers A* 2A 1B 1Misc 1Journal 67Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	AI for Clinical Applications - First International Workshops, Agentic AI 2025, CREATE 2025, and Clinical MLLMs 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23 and 27, 2025, Proceedings Agentic AI/CREATE/Clinical MLLMs@MICCAI Jianing Qiu, Jinlin Wu, Curtis Langlotz, Baoru Huang, Zhen Lei, Honghan Wu, Hongbin Liu, Weidi Xie
2026	J	`jnl`	Detecting Adverse Drug Events in Social Media: A Brief Literature Review. SN Comput. Sci. Imane Guellil, Yousra Berrachedi, Nidhal Eddine Chenni, Massi-Nissa Abboud, Jinge Wu, Honghan Wu, Beatrice Alex
2026	A*	`conf`	Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework. AAAI Jinge Wu, Zhaolong Wu, Ruizhe Li, Tong Chen, Abul Hasan, Yunsoo Kim, Jason Pui Yin Cheung, Teng Zhang, Honghan Wu
2026	J	`jnl`	LoV3D: Grounding Cognitive Prognosis Reasoning in Longitudinal 3D Brain MRI via Regional Volume Assessments. CoRR Zhaoyang Jiang, Zhizhong Fu, David McAllister, Yunsoo Kim, Honghan Wu
2025	—	`conf`	Adverse Event Extraction from Discharge Summaries: A New Dataset, Annotation Scheme, and Initial Findings. ACL (1) Imane Guellil, Salomé Andres, Atul Anand, Bruce Guthrie, Huayu Zhang, Abul Hasan, Honghan Wu, Beatrice Alex
2025	J	`jnl`	Adverse Event Extraction from Discharge Summaries: A New Dataset, Annotation Scheme, and Initial Findings. CoRR Imane Guellil, Salomé Andres, Atul Anand, Bruce Guthrie, Huayu Zhang, Abul Kalam Hasan, Honghan Wu, Beatrice Alex
2025	—	`conf`	Attentive Latent Replay for Continual Learning in Pathology. ISBI Arijit Patra, Jinge Wu, Vaanathi Sundaresan, Honghan Wu, Phil Scordis
2025	—	`conf`	BioHopR: A Benchmark for Multi-Hop, Multi-Answer Reasoning in Biomedical Domain. ACL (Findings) Yunsoo Kim, Yusuf Abdulle, Honghan Wu
2025	J	`jnl`	BioHopR: A Benchmark for Multi-Hop, Multi-Answer Reasoning in Biomedical Domain. CoRR Yunsoo Kim, Yusuf Abdulle, Honghan Wu
2025	J	`jnl`	Deep learning based prediction of depression and anxiety in patients with type 2 diabetes mellitus using regional electronic health records. Int. J. Medical Informatics Wei Feng, Honghan Wu, Hui Ma, Yuechuchu Yin, Zhenhuan Tao, Shan Lu, Xin Zhang, Yun Yu, Cheng Wan, Yun Liu
2025	—	`conf`	Graph-Based LLM over Semi-Structured Population Data for Dynamic Policy Response. EMA4MICCAI Daqian Shi, Xiaolei Diao, Jinge Wu, Honghan Wu, Xiongfeng Tang, Felix Naughton, Paulina Bondaronek
2025	J	`jnl`	Graph-based LLM over Semi-Structured Population Data for Dynamic Policy Response. CoRR Daqian Shi, Xiaolei Diao, Jinge Wu, Honghan Wu, Xiongfeng Tang, Felix Naughton, Paulina Bondaronek
2025	—	`conf`	HARE: an entity and relation centric evaluation framework for histopathology reports. EMNLP (Findings) Yunsoo Kim, Michal W. S. Ong, Alex Shavick, Honghan Wu, Adam P. Levine
2025	J	`jnl`	HARE: an entity and relation centric evaluation framework for histopathology reports. CoRR Yunsoo Kim, Michal W. S. Ong, Alex Shavick, Honghan Wu, Adam P. Levine
2025	J	`jnl`	IHC-LLMiner: Automated extraction of tumour immunohistochemical profiles from PubMed abstracts using large language models. CoRR Yunsoo Kim, Michal W. S. Ong, Daniel W. Rogalsky, Manuel Rodriguez-Justo, Honghan Wu, Adam P. Levine
2025	J	`jnl`	Infusing clinical knowledge into language models by subword optimisation and embedding initialisation. Comput. Biol. Medicine Abul Hasan, Jinge Wu, Quang Ngoc Nguyen, Salomé Andres, Imane Guellil, Huayu Zhang, Arlene Casey, Beatrice Alex, Bruce Guthrie, Honghan Wu
2025	—	`conf`	Look & Mark: Leveraging Radiologist Eye Fixations and Bounding boxes in Multimodal Large Language Models for Chest X-ray Report Generation. ACL (Findings) Yunsoo Kim, Jinge Wu, Su Hwan Kim, Pardeep Vasudev, Jiashu Shen, Honghan Wu
2025	J	`jnl`	Look & Mark: Leveraging Radiologist Eye Fixations and Bounding boxes in Multimodal Large Language Models for Chest X-ray Report Generation. CoRR Yunsoo Kim, Jinge Wu, Su-Hwan Kim, Pardeep Vasudev, Jiashu Shen, Honghan Wu
2025	J	`jnl`	RadEyeVideo: Enhancing general-domain Large Vision Language Model for chest X-ray analysis with video representations of eye gaze. CoRR Yunsoo Kim, Jinge Wu, Honghan Wu
2025	J	`jnl`	RiskAgent: Autonomous Medical AI Copilot for Generalist Risk Prediction. CoRR Fenglin Liu, Jinge Wu, Hongjian Zhou, Xiao Gu, Soheila Molaei, Anshul Thakur, Lei A. Clifton, Honghan Wu, David A. Clifton
2025	J	`jnl`	Towards deployment-centric multimodal AI beyond vision and language. CoRR 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, Sina Tabakhi, Cyndie Demeocq, Xiang Li, Arunav Das, Orlando Timmerman, Thomas Baldwin-McDonald, Jinge Wu, Peizhen Bai, Zahraa Al Sahili, Omnia Alwazzan, Thao N. Do, Mohammod Naimul Islam Suvon, Angeline Wang, Lucia Cipolina-Kun, Luigi A. Moretti, Lucas Farndale, Nitisha Jain, Natalia Efremova, Yan Ge, Marta Varela, Hak-Keung Lam, Oya Çeliktutan, Ben R. Evans, Alejandro Coca-Castro, Honghan Wu, Zahraa S. Abdallah, Chen Chen, Valentin Danchev, Nataliya Tkachenko, Lei Lu, Tingting Zhu, Gregory G. Slabaugh, Roger K. Moore, William K. Cheung, Peter H. Charlton, Haiping Lu
2025	—	`conf`	Towards exploring continual learning for toxicologic pathology in pharmaceutical drug discovery. CVPR Workshops Arijit Patra, Jinge Wu, Honghan Wu, Anshul Thakur
2024	J	`jnl`	A Unified Review of Deep Learning for Automated Medical Coding. ACM Comput. Surv. Shaoxiong Ji, Xiaobo Li, Wei Sun, Hang Dong, Ara Taalas, Yijia Zhang, Honghan Wu, Esa Pitkänen, Pekka Marttinen
2024	J	`jnl`	A hybrid framework with large language models for rare disease phenotyping. BMC Medical Informatics Decis. Mak. Jinge Wu, Hang Dong, Zexi Li, Haowei Wang, Runci Li, Arijit Patra, Chengliang Dai, Waqar Ali, Phil Scordis, Honghan Wu
2024	J	`jnl`	Applying contrastive pre-training for depression and anxiety risk prediction in type 2 diabetes patients based on heterogeneous electronic health records: a primary healthcare case study. J. Am. Medical Informatics Assoc. Wei Feng, Honghan Wu, Hui Ma, Zhenhuan Tao, Mengdie Xu, Xin Zhang, Shan Lu, Cheng Wan, Yun Liu
2024	—	`conf`	Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest. VLDB Workshops Yusuf Abdulle, Emily Groves, Minhong Wang, Holger Kunz, Jason Hoelscher-Obermaier, Ronin Wu, Honghan Wu
2024	—	`conf`	CMDL: A Large-Scale Chinese Multi-Defendant Legal Judgment Prediction Dataset. ACL (Findings) Wanhong Huang, Yi Feng, Chuanyi Li, Honghan Wu, Jidong Ge, Vincent Ng
2024	J	`jnl`	Chain-of-Though (CoT) prompting strategies for medical error detection and correction. CoRR Zhaolong Wu, Abul Hasan, Jinge Wu, Yunsoo Kim, Jason Pui Yin Cheung, Teng Zhang, Honghan Wu
2024	—	`conf`	Enhancing Human-Computer Interaction in Chest X-Ray Analysis Using Vision and Language Model with Eye Gaze Patterns. MICCAI (3) Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Yue Gao, Honghan Wu
2024	J	`jnl`	Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns. CoRR Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Yue Gao, Honghan Wu
2024	—	`conf`	Enhancing Natural Language Processing Capabilities in Geriatric Patient Care: An Annotation Scheme and Guidelines. NLDB (2) Imane Guellil, Salomé Andres, Bruce Guthrie, Atul Anand, Huayu Zhang, Abul Kalam Hasan, Honghan Wu, Beatrice Alex
2024	—	`conf`	Hallucination Benchmark in Medical Visual Question Answering. Tiny Papers @ ICLR Jinge Wu, Yunsoo Kim, Honghan Wu
2024	J	`jnl`	Hallucination Benchmark in Medical Visual Question Answering. CoRR Jinge Wu, Yunsoo Kim, Honghan Wu
2024	J	`jnl`	Harnessing Knowledge Retrieval with Large Language Models for Clinical Report Error Correction. CoRR Jinge Wu, Zhaolong Wu, Abul Hasan, Yunsoo Kim, Jason Pui Yin Cheung, Teng Zhang, Honghan Wu
2024	—	`conf`	Human-in-the-Loop Chest X-Ray Diagnosis: Enhancing Large Multimodal Models with Eye Fixation Inputs. TAI4H Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Yue Gao, Honghan Wu
2024	J	`jnl`	Infusing clinical knowledge into tokenisers for language models. CoRR Abul Hasan, Jinge Wu, Quang Ngoc Nguyen, Salomé Andres, Imane Guellil, Huayu Zhang, Arlene Casey, Beatrice Alex, Bruce Guthrie, Honghan Wu
2024	—	`conf`	KnowLab_AIMed at MEDIQA-CORR 2024: Chain-of-Though (CoT) prompting strategies for medical error detection and correction. ClinicalNLP@NAACL Zhaolong Wu, Abul Hasan, Jinge Wu, Yunsoo Kim, Jason Pui Yin Cheung, Teng Zhang, Honghan Wu
2024	J	`jnl`	Machine learning on cardiotocography data to classify fetal outcomes: A scoping review. Comput. Biol. Medicine Farah Francis, Saturnino Luz, Honghan Wu, Sarah J. Stock, Rosemary Townsend
2024	—	`conf`	MedExQA: Medical Question Answering Benchmark with Multiple Explanations. BioNLP@ACL Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Honghan Wu
2024	J	`jnl`	MedExQA: Medical Question Answering Benchmark with Multiple Explanations. CoRR Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Honghan Wu
2024	J	`jnl`	Optimising the paradigms of human AI collaborative clinical coding. npj Digit. Medicine Yue Gao, Yuepeng Chen, Minghao Wang, Jinge Wu, Yunsoo Kim, Kaiyin Zhou, Miao Li, Xien Liu, Xiangling Fu, Ji Wu, Honghan Wu
2024	J	`jnl`	RadBARTsum: Domain Specific Adaption of Denoising Sequence-to-Sequence Models for Abstractive Radiology Report Summarization. CoRR Jinge Wu, Abul Hasan, Honghan Wu
2024	J	`jnl`	Retrieving and Refining: A Hybrid Framework with Large Language Models for Rare Disease Identification. CoRR Jinge Wu, Hang Dong, Zexi Li, Arijit Patra, Honghan Wu
2024	J	`jnl`	SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation. CoRR Jinge Wu, Yunsoo Kim, Daqian Shi, David A. Clifton, Fenglin Liu, Honghan Wu
2023	J	`jnl`	Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest. CoRR Emily Groves, Minhong Wang, Yusuf Abdulle, Holger Kunz, Jason Hoelscher-Obermaier, Ronin Wu, Honghan Wu
2023	J	`jnl`	Exploring Multimodal Large Language Models for Radiology Report Error-checking. CoRR Jinge Wu, Yunsoo Kim, Eva C. Keller, Jamie Chow, Adam P. Levine, Nikolas Pontikos, Zina M. Ibrahim, Paul Taylor, Michelle C. Williams, Honghan Wu
2023	J	`jnl`	FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database. Frontiers Digit. Health Huayu Zhang, Arlene Casey, Imane Guellil, Víctor Suárez-Paniagua, Clare Macrae, Charis Marwick, Honghan Wu, Bruce Guthrie, Beatrice Alex
2023	—	`conf`	KnowLab at RadSum23: comparing pre-trained language models in radiology report summarization. BioNLP@ACL Jinge Wu, Daqian Shi, Abul Hasan, Honghan Wu
2023	—	`conf`	Machine Learning to Classify Cardiotocography for Fetal Hypoxia Detection. EMBC Farah Francis, Saturnino Luz, Honghan Wu, Rosemary Townsend, Sarah S. Stock
2023	J	`jnl`	Ontology-driven and weakly supervised rare disease identification from clinical notes. BMC Medical Informatics Decis. Mak. Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu
2023	J	`jnl`	Prediction of disease comorbidity using explainable artificial intelligence and machine learning techniques: A systematic review. Int. J. Medical Informatics Mohanad M. Alsaleh, Freya Allery, Jung Won Choi, Tuankasfee Hama, Andrew McQuillin, Honghan Wu, Johan Hilge Thygesen
2023	—	`ed.`	Proceedings of the 6th International Workshop on Knowledge Discovery from Healthcare Data co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, China, August 20, 2023. KDH@IJCAI Zina M. Ibrahim, Honghan Wu, Nirmalie Wiratunga
2023	J	`jnl`	RMCA U-net: Hard exudates segmentation for retinal fundus images. Expert Syst. Appl. Yinghua Fu, Ge Zhang, Xin Lu, Honghan Wu, Dawei Zhang
2023	J	`jnl`	Term-BLAST-like alignment tool for concept recognition in noisy clinical texts. Bioinform. Tudor Groza, Honghan Wu, Marcel E. Dinger, Daniel Danis, Coleman Hilton, Anita Bagley, Jon R. Davids, Ling Luo, Zhiyong Lu, Peter N. Robinson
2023	J	`jnl`	The impact of inconsistent human annotations on AI driven clinical decision making. npj Digit. Medicine Aneeta Sylolypavan, Derek H. Sleeman, Honghan Wu, Malcolm Sim
2023	J	`jnl`	Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports. Frontiers Digit. Health Arlene Casey, Emma M. Davidson, Claire Grover, Richard Tobin, Andreas Grivas, Huayu Zhang, Patrick Schrempf, Alison Q. O'Neil, Liam Lee, Michael Walsh, Freya Pellie, Karen Ferguson, Vera Cvoro, Honghan Wu, Heather Whalley, Grant Mair, William Whiteley, Beatrice Alex
2022	J	`jnl`	A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data. IEEE J. Biomed. Health Informatics Zina M. Ibrahim, Daniel Bean, Thomas Searle, Linglong Qian, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson
2022	J	`jnl`	A Unified Review of Deep Learning for Automated Medical Coding. CoRR Shaoxiong Ji, Wei Sun, Hang Dong, Honghan Wu, Pekka Marttinen
2022	J	`jnl`	A survey on clinical natural language processing in the United Kingdom from 2007 to 2022. npj Digit. Medicine Honghan Wu, Minhong Wang, Jinge Wu, Farah Francis, Yun-Hsuan Chang, Alex Shavick, Hang Dong, Michael Tin Chung Poon, Natalie K. Fitzpatrick, Adam P. Levine, Luke T. Slater, Alex Handy, Andreas Karwath, Georgios V. Gkoutos, Claude Chelala, Anoop D. Shah, Robert Stewart, Nigel Collier, Beatrice Alex, William Whiteley, Cathie Sudlow, Angus Roberts, Richard J. B. Dobson
2022	J	`jnl`	Adverse Childhood Experiences Identification from Clinical Notes with Ontologies and NLP. CoRR Jinge Wu, Rowena Smith, Honghan Wu
2022	J	`jnl`	Automated Clinical Coding: What, Why, and Where We Are? CoRR Hang Dong, Matús Falis, William Whiteley, Beatrice Alex, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu
2022	J	`jnl`	Automated clinical coding: what, why, and where we are? npj Digit. Medicine Hang Dong, Matús Falis, William Whiteley, Beatrice Alex, Joshua Matterson, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu
2022	—	`conf`	Detecting Intrapartum Fetal Hypoxia from Cardiotocography Using Machine Learning. CinC Farah Francis, Honghan Wu, Saturnino Luz, Rosemary Townsend, Sarah S. Stock
2022	—	`conf`	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. SMM4H@COLING Imane Guellil, Jinge Wu, Honghan Wu, Tony Sun, Beatrice Alex
2022	J	`jnl`	Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations. Database J. Biol. Databases Curation Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj, Jingcheng Du, Li Fang, Wang Kai, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Senja Pollak, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno-Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus A. A. Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Saipradeep Vg, Zhiyong Lu
2022	J	`jnl`	Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations. CoRR Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj Dogan, Jingcheng Du, Li Fang, Wang Kai, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno-Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus A. A. Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Zhiyong Lu
2022	J	`jnl`	Ontology-Based and Weakly Supervised Rare Disease Phenotyping from Clinical Notes. CoRR Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu
2022	J	`jnl`	Ontology-Driven Self-Supervision for Adverse Childhood Experiences Identification Using Social Media Datasets. CoRR Jinge Wu, Rowena Smith, Honghan Wu
2022	A*	`conf`	Quantifying Health Inequalities Induced by Data and AI Models. IJCAI Honghan Wu, Aneeta Sylolypavan, Minhong Wang, Sarah Wild
2022	J	`jnl`	Quantifying Health Inequalities Induced by Data and AI Models. CoRR Honghan Wu, Minhong Wang, Aneeta Sylolypavan, Sarah Wild
2022	J	`jnl`	Spine-GFlow: A hybrid learning framework for robust multi-tissue segmentation in lumbar MRI without manual annotation. Comput. Medical Imaging Graph. Xihe Kuang, Jason Pui Yin Cheung, Kwan-Yee K. Wong, Wai Yi Lam, Chak Hei Lam, Richard W. Choy, Christopher P. Cheng, Honghan Wu, Cao Yang, Kun Wang, Yang Li, Teng Zhang
2021	J	`jnl`	A Systematic Review of Natural Language Processing Applied to Radiology Reports. CoRR Arlene Casey, Emma M. Davidson, Michael Tin Chung Poon, Hang Dong, Daniel Duma, Andreas Grivas, Claire Grover, Víctor Suárez-Paniagua, Richard Tobin, William Whiteley, Honghan Wu, Beatrice Alex
2021	J	`jnl`	A systematic review of natural language processing applied to radiology reports. BMC Medical Informatics Decis. Mak. Arlene Casey, Emma M. Davidson, Michael Tin Chung Poon, Hang Dong, Daniel Duma, Andreas Grivas, Claire Grover, Víctor Suárez-Paniagua, Richard Tobin, William Whiteley, Honghan Wu, Beatrice Alex
2021	Misc	`conf`	Axes of Prognosis: Identifying Subtypes of COVID-19 Outcomes. AMIA Emma Whitfield, Claire Coffey, Huayu Zhang, Ting Shi, Xiaodong Wu, Qiang Li, Honghan Wu
2021	J	`jnl`	Benchmarking network-based gene prioritization methods for cerebral small vessel disease. Briefings Bioinform. Huayu Zhang, Amy Ferguson, Grant Robertson, Muchen Jiang, Teng Zhang, Cathie Sudlow, Keith Smith, Kristiina Rannikmäe, Honghan Wu
2021	J	`jnl`	Developing automated methods for disease subtyping in UK Biobank: an exemplar study on stroke. BMC Medical Informatics Decis. Mak. Kristiina Rannikmäe, Honghan Wu, Steven Tominey, William Whiteley, Naomi Allen, Cathie Sudlow
2021	J	`jnl`	Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2. J. Am. Medical Informatics Assoc. Honghan Wu, Huayu Zhang, Andreas Karwath, Zina M. Ibrahim, Ting Shi, Xin Zhang, Kun Wang, Jiaxing Sun, Kevin Dhaliwal, Daniel Bean, Victor Roth Cardoso, Kezhi Li, James T. Teo, Amitava Banerjee, Fang Gao-Smith, Tony Whitehouse, Tonny Veenith, Georgios V. Gkoutos, Xiaodong Wu, Richard J. B. Dobson, Bruce Guthrie
2021	J	`jnl`	Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation. J. Biomed. Informatics Hang Dong, Víctor Suárez-Paniagua, William Whiteley, Honghan Wu
2021	—	`conf`	Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision. EMBC Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Emma Whitfield, Honghan Wu
2021	J	`jnl`	Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision. CoRR Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Emma Whitfield, Honghan Wu
2021	J	`jnl`	The reporting quality of natural language processing studies: systematic review of studies of radiology reports. BMC Medical Imaging Emma M. Davidson, Michael Tin Chung Poon, Arlene Casey, Andreas Grivas, Daniel Duma, Hang Dong, Víctor Suárez-Paniagua, Claire Grover, Richard Tobin, Heather Whalley, Honghan Wu, Beatrice Alex, William Whiteley
2020	J	`jnl`	A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data. CoRR Zina M. Ibrahim, Daniel Bean, Thomas Searle, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson
2020	J	`jnl`	Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation. CoRR Hang Dong, Víctor Suárez-Paniagua, William Whiteley, Honghan Wu
2020	J	`jnl`	Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR. CoRR Rebecca Bendayan, Honghan Wu, Zeljko Kraljevic, Robert Stewart, Tom Searle, Jaya Chaturvedi, Jayati Das-Munshi, Zina M. Ibrahim, Aurelie Mascio, Angus Roberts, Daniel Bean, Richard J. B. Dobson
2020	—	`conf`	Knowledge Driven Phenotyping. MIE Honghan Wu, Minhong Wang, Qianyi Zeng, Wenjun Chen, Thomas Nind, Emily R. Jefferson, Marion Bennie, Corri Black, Jeff Z. Pan, Cathie Sudlow, Dave Robertson
2020	—	`conf`	MRI-SegFlow: a novel unsupervised deep learning pipeline enabling accurate vertebral segmentation of MRI images. EMBC Xihe Kuang, Jason Pui Yin Cheung, Honghan Wu, Socrates Dokos, Teng Zhang
2020	A	`conf`	Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. ECAI Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson
2020	J	`jnl`	Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. CoRR Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson
2020	J	`jnl`	On classifying sepsis heterogeneity in the ICU: insight using machine learning. J. Am. Medical Informatics Assoc. Zina M. Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard J. B. Dobson, Andrea Agarossi
2019	J	`jnl`	Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification. CoRR Honghan Wu, Karen Hodgson, Sue Dyson, Katherine I. Morley, Zina M. Ibrahim, Ehtesham Iqbal, Robert Stewart, Richard J. B. Dobson, Cathie Sudlow
2019	J	`jnl`	Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches. CoRR Philip John Gorinski, Honghan Wu, Claire Grover, Richard Tobin, Conn Talbot, Heather Whalley, Cathie Sudlow, William Whiteley, Beatrice Alex
2019	J	`jnl`	On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning. CoRR Zina M. Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard J. B. Dobson, Andrea Agarossi
2018	J	`jnl`	CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital. BMC Medical Informatics Decis. Mak. Richard G. Jackson, Ismail Emre Kartoglu, Clive Stringer, Genevieve Gorrell, Angus Roberts, Xingyi Song, Honghan Wu, Asha Agrawal, Kenneth Lui, Tudor Groza, Damian Lewsley, Doug Northwood, Amos Folarin, Robert Stewart, Richard J. B. Dobson
2018	—	`ed.`	Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Stockholm, Schweden, July 13, 2018. KDH@IJCAI Kerstin Bach, Razvan C. Bunescu, Oladimeji Farri, Aili Guo, Sadid A. Hasan, Zina M. Ibrahim, Cindy Marling, Jesse Raffa, Jonathan Rubin, Honghan Wu
2018	J	`jnl`	SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research. J. Am. Medical Informatics Assoc. Honghan Wu, Giulia Toti, Katherine I. Morley, Zina M. Ibrahim, Amos Folarin, Richard G. Jackson, Ismail Emre Kartoglu, Asha Agrawal, Clive Stringer, Darren Gale, Genevieve Gorrell, Angus Roberts, Matthew T. M. Broadbent, Robert Stewart, Richard J. B. Dobson
2017	J	`jnl`	Automated PDF highlighting to support faster curation of literature for Parkinson's and Alzheimer's disease. Database J. Biol. Databases Curation Honghan Wu, Anika Oellrich, Christine Girges, Bernard de Bono, Tim J. P. Hubbard, Richard J. B. Dobson
2017	—	`ch.`	Enterprise Knowledge Graph: An Introduction. Exploiting Linked Data and Knowledge Graphs in Large Organisations José Manuél Gómez-Pérez, Jeff Z. Pan, Guido Vetere, Honghan Wu
2017	—	`ch.`	Enterprise Knowledge Graph: Looking into the Future. Exploiting Linked Data and Knowledge Graphs in Large Organisations Jeff Z. Pan, José Manuél Gómez-Pérez, Guido Vetere, Honghan Wu, Yuting Zhao, Marco Monti
2017	—	`book`	Exploiting Linked Data and Knowledge Graphs in Large Organisations Jeff Z. Pan, Guido Vetere, José Manuél Gómez-Pérez, Honghan Wu
2017	—	`conf`	Improving RNN with Attention and Embedding for Adverse Drug Reactions. DH Chandra Pandey, Zina M. Ibrahim, Honghan Wu, Ehtesham Iqbal, Richard J. B. Dobson
2017	—	`ch.`	Knowledge Architecture for Organisations. Exploiting Linked Data and Knowledge Graphs in Large Organisations Ronald Denaux, Yuan Ren, Boris Villazón-Terrazas, Panos Alexopoulos, Alessandro Faraotti, Honghan Wu
2017	—	`ch.`	Knowledge Graph Foundations. Exploiting Linked Data and Knowledge Graphs in Large Organisations Boris Villazón-Terrazas, Nuria García-Santa, Yuan Ren, Alessandro Faraotti, Honghan Wu, Yuting Zhao, Guido Vetere, Jeff Z. Pan
2017	—	`ed.`	Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 20, 2017. KDH@IJCAI Zina M. Ibrahim, Honghan Wu, Kerstin Bach, Richard J. B. Dobson, Spiros C. Denaxas, Nirmalie Wiratunga, Stewart Massie, Sadiq Sani
2017	—	`ch.`	Question Answering and Knowledge Graphs. Exploiting Linked Data and Knowledge Graphs in Large Organisations Alessandro Moschitti, Kateryna Tymoshenko, Panos Alexopoulos, Andrew D. Walker, Massimo Nicosia, Guido Vetere, Alessandro Faraotti, Marco Monti, Jeff Z. Pan, Honghan Wu, Yuting Zhao
2017	—	`conf`	The psycho-env corpus: research articles annotated for knowledge discovery on correlating mental diseases and environmental factors. KDH@IJCAI Hui Wang, Quan Sun, Anika Oellrich, Honghan Wu, Richard J. B. Dobson
2017	—	`ch.`	Understanding Knowledge Graphs. Exploiting Linked Data and Knowledge Graphs in Large Organisations Honghan Wu, Ronald Denaux, Panos Alexopoulos, Yuan Ren, Jeff Z. Pan
2016	—	`conf`	Category-Driven Association Rule Mining. SGAI Conf. Zina M. Ibrahim, Honghan Wu, Robbie Mallah, Richard J. B. Dobson
2016	—	`conf`	Encoding Medication Episodes for Adverse Drug Event Prediction. SGAI Conf. Honghan Wu, Zina M. Ibrahim, Ehtesham Iqbal, Richard J. B. Dobson
2015	—	`conf`	Meta-Level Properties for Reasoning on Dynamic Data. JIST Yuting Zhao, Guido Vetere, Jeff Z. Pan, Alessandro Faraotti, Marco Monti, Honghan Wu
2014	—	`conf`	Big smog meets web science: smog disaster analysis based on social media and device data on the web. WWW (Companion Volume) Jiaoyan Chen, Huajun Chen, Guozhou Zheng, Jeff Z. Pan, Honghan Wu, Ningyu Zhang
2014	—	`conf`	Exploiting Semantic Web Datasets: A Graph Pattern Based Approach. CSWS Honghan Wu, Boris Villazón-Terrazas, Jeff Z. Pan, José Manuél Gómez-Pérez
2014	—	`conf`	Graph Pattern Based RDF Data Compression. JIST Jeff Z. Pan, José Manuél Gómez-Pérez, Yuan Ren, Honghan Wu, Haofen Wang, Man Zhu
2014	—	`conf`	How Redundant Is It? - An Empirical Analysis on Linked Datasets. COLD Honghan Wu, Boris Villazón-Terrazas, Jeff Z. Pan, José Manuél Gómez-Pérez
2013	B	`conf`	Query generation for semantic datasets. K-CAP Jeff Z. Pan, Yuan Ren, Honghan Wu, Man Zhu
2012	—	`conf`	Information retrieval and deduplication for tourism recommender sightsplanner. WIMS Ago Luberg, Michael Granitzer, Honghan Wu, Priit Järv, Tanel Tammet
2012	—	`conf`	Ranking domain objects by WIMS Honghan Wu, Ago Luberg, Tanel Tammet
2008	—	`conf`	Searching Semantic Web Objects Based on Class Hierarchies. LDOW Gong Cheng, Weiyi Ge, Honghan Wu, Yuzhong Qu
2007	—	`conf`	Falcon-AO: Results for OAEI 2007. OM Wei Hu, Yuanyuan Zhao, Dan Li, Gong Cheng, Honghan Wu, Yuzhong Qu
2004	—	`conf`	CANOE: A Course Assembly and Normalization Tool for E-learning. Dublin Core Conference Han Xu, Honghan Wu, Yuzhong Qu