Honghan Wu

According to our database, Honghan Wu authored at least 82 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A hybrid framework with large language models for rare disease phenotyping.

Jinge Wu, Hang Dong, Zexi Li, Haowei Wang, Runci Li, Arijit Patra, Chengliang Dai, Waqar Ali, Phil Scordis, Honghan Wu

BMC Medical Informatics Decis. Mak., December, 2024

A Unified Review of Deep Learning for Automated Medical Coding.

Shaoxiong Ji, Xiaobo Li, Wei Sun, Hang Dong, Ara Taalas, Yijia Zhang, Honghan Wu, Esa Pitkänen, Pekka Marttinen

ACM Comput. Surv., December, 2024

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.

Wei Feng, Honghan Wu, Hui Ma, Zhenhuan Tao, Mengdie Xu, Xin Zhang, Shan Lu, Cheng Wan, Yun Liu

J. Am. Medical Informatics Assoc., January, 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

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

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

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

RadBARTsum: Domain Specific Adaption of Denoising Sequence-to-Sequence Models for Abstractive Radiology Report Summarization.

Jinge Wu, Abul Hasan, Honghan Wu

CoRR, 2024

Retrieving and Refining: A Hybrid Framework with Large Language Models for Rare Disease Identification.

Jinge Wu, Hang Dong, Zexi Li, Arijit Patra, Honghan Wu

CoRR, 2024

Machine learning on cardiotocography data to classify fetal outcomes: A scoping review.

Farah Francis, Saturnino Luz, Honghan Wu, Sarah J. Stock, Rosemary Townsend

Comput. Biol. Medicine, 2024

Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest.

Yusuf Abdulle, Emily Groves, Minhong Wang, Holger Kunz, Jason Hoelscher-Obermaier, Ronin Wu, Honghan Wu

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 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, Honghan Wu

Proceedings of the Trustworthy Artificial Intelligence for Healthcare, 2024

Enhancing Natural Language Processing Capabilities in Geriatric Patient Care: An Annotation Scheme and Guidelines.

Imane Guellil, Salomé Andres, Bruce Guthrie, Atul Anand, Huayu Zhang, Abul Kalam Hasan, Honghan Wu, Beatrice Alex

Proceedings of the Natural Language Processing and Information Systems, 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, Honghan Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Hallucination Benchmark in Medical Visual Question Answering.

Jinge Wu, Yunsoo Kim, Honghan Wu

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

MedExQA: Medical Question Answering Benchmark with Multiple Explanations.

Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Honghan Wu

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

CMDL: A Large-Scale Chinese Multi-Defendant Legal Judgment Prediction Dataset.

Wanhong Huang, Yi Feng, Chuanyi Li, Honghan Wu, Jidong Ge, Vincent Ng

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023

Ontology-driven and weakly supervised rare disease identification from clinical notes.

Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu

BMC Medical Informatics Decis. Mak., December, 2023

RMCA U-net: Hard exudates segmentation for retinal fundus images.

Yinghua Fu, Ge Zhang, Xin Lu, Honghan Wu, Dawei Zhang

Expert Syst. Appl., December, 2023

Term-BLAST-like alignment tool for concept recognition in noisy clinical texts.

Tudor Groza, Honghan Wu, Marcel E. Dinger, Daniel Danis, Coleman Hilton, Anita Bagley, Jon R. Davids, Ling Luo, Zhiyong Lu, Peter N. Robinson

Bioinform., December, 2023

Prediction of disease comorbidity using explainable artificial intelligence and machine learning techniques: A systematic review.

Mohanad M. Alsaleh, Freya Allery, Jung Won Choi, Tuankasfee Hama, Andrew McQuillin, Honghan Wu, Johan H. Thygesen

Int. J. Medical Informatics, July, 2023

FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database.

Huayu Zhang, Arlene Casey, Imane Guellil, Víctor Suárez-Paniagua, Clare Macrae, Charis Marwick, Honghan Wu, Bruce Guthrie, Beatrice Alex

Frontiers Digit. Health, May, 2023

Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports.

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

Frontiers Digit. Health, March, 2023

The impact of inconsistent human annotations on AI driven clinical decision making.

Aneeta Sylolypavan, Derek H. Sleeman, Honghan Wu, Malcolm Sim

npj Digit. Medicine, 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

Machine Learning to Classify Cardiotocography for Fetal Hypoxia Detection.

Farah Francis, Saturnino Luz, Honghan Wu, Rosemary Townsend, Sarah S. Stock

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

KnowLab at RadSum23: comparing pre-trained language models in radiology report summarization.

Jinge Wu, Daqian Shi, Abul Hasan, Honghan Wu

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022

A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data.

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

IEEE J. Biomed. Health Informatics, 2022

A survey on clinical natural language processing in the United Kingdom from 2007 to 2022.

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

npj Digit. Medicine, 2022

Automated clinical coding: what, why, and where we are?

Hang Dong, Matús Falis, William Whiteley, Beatrice Alex, Joshua Matterson, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu

npj Digit. Medicine, 2022

Ontology-Driven Self-Supervision for Adverse Childhood Experiences Identification Using Social Media Datasets.

Jinge Wu, Rowena Smith, Honghan Wu

CoRR, 2022

Adverse Childhood Experiences Identification from Clinical Notes with Ontologies and NLP.

Jinge Wu, Rowena Smith, Honghan Wu

CoRR, 2022

Ontology-Based and Weakly Supervised Rare Disease Phenotyping from Clinical Notes.

Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu

CoRR, 2022

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations.

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

CoRR, 2022

Automated Clinical Coding: What, Why, and Where We Are?

Hang Dong, Matús Falis, William Whiteley, Beatrice Alex, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu

CoRR, 2022

A Unified Review of Deep Learning for Automated Medical Coding.

Shaoxiong Ji, Wei Sun, Hang Dong, Honghan Wu, Pekka Marttinen

CoRR, 2022

Spine-GFlow: A hybrid learning framework for robust multi-tissue segmentation in lumbar MRI without manual annotation.

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

Comput. Medical Imaging Graph., 2022

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations.

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

Database J. Biol. Databases Curation, 2022

Quantifying Health Inequalities Induced by Data and AI Models.

Honghan Wu, Aneeta Sylolypavan, Minhong Wang, Sarah Wild

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

Detecting Intrapartum Fetal Hypoxia from Cardiotocography Using Machine Learning.

Farah Francis, Honghan Wu, Saturnino Luz, Rosemary Townsend, Sarah S. Stock

Proceedings of the Computing in Cardiology, 2022

2021

Developing automated methods for disease subtyping in UK Biobank: an exemplar study on stroke.

Kristiina Rannikmäe, Honghan Wu, Steven Tominey, William Whiteley, Naomi Allen, Cathie Sudlow

BMC Medical Informatics Decis. Mak., 2021

A systematic review of natural language processing applied to radiology reports.

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

BMC Medical Informatics Decis. Mak., 2021

Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation.

Hang Dong, Víctor Suárez-Paniagua, William Whiteley, Honghan Wu

J. Biomed. Informatics, 2021

Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2.

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

J. Am. Medical Informatics Assoc., 2021

The reporting quality of natural language processing studies: systematic review of studies of radiology reports.

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

BMC Medical Imaging, 2021

Benchmarking network-based gene prioritization methods for cerebral small vessel disease.

Huayu Zhang, Amy Ferguson, Grant Robertson, Muchen Jiang, Teng Zhang, Cathie Sudlow, Keith Smith, Kristiina Rannikmäe, Honghan Wu

Briefings Bioinform., 2021

Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision.

Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Emma Whitfield, Honghan Wu

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Axes of Prognosis: Identifying Subtypes of COVID-19 Outcomes.

Emma Whitfield, Claire Coffey, Huayu Zhang, Ting Shi, Xiaodong Wu, Qiang Li, Honghan Wu

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

On classifying sepsis heterogeneity in the ICU: insight using machine learning.

Zina M. Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard J. B. Dobson, Andrea Agarossi

J. Am. Medical Informatics Assoc., 2020

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data.

Zina M. Ibrahim, Daniel Bean, Thomas Searle, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson

CoRR, 2020

Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR.

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

CoRR, 2020

Knowledge Driven Phenotyping.

Honghan Wu, Minhong Wang, Qianyi Zeng, Wenjun Chen, Thomas Nind, Emily R. Jefferson, Marion Bennie, Corri Black, Jeff Z. Pan, Cathie Sudlow, Dave Robertson

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

MRI-SegFlow: a novel unsupervised deep learning pipeline enabling accurate vertebral segmentation of MRI images.

Xihe Kuang, Jason Pui Yin Cheung, Honghan Wu, Socrates Dokos, Teng Zhang

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units.

Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification.

Honghan Wu, Karen Hodgson, Sue Dyson, Katherine I. Morley, Zina M. Ibrahim, Ehtesham Iqbal, Robert Stewart, Richard J. B. Dobson, Cathie Sudlow

CoRR, 2019

Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches.

Philip John Gorinski, Honghan Wu, Claire Grover, Richard Tobin, Conn Talbot, Heather Whalley, Cathie Sudlow, William Whiteley, Beatrice Alex

CoRR, 2019

2018

CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital.

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

BMC Medical Informatics Decis. Mak., 2018

SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research.

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

J. Am. Medical Informatics Assoc., 2018

2017

Automated PDF highlighting to support faster curation of literature for Parkinson's and Alzheimer's disease.

Honghan Wu, Anika Oellrich, Christine Girges, Bernard de Bono, Tim J. P. Hubbard, Richard J. B. Dobson

Database J. Biol. Databases Curation, 2017

The psycho-env corpus: research articles annotated for knowledge discovery on correlating mental diseases and environmental factors.

Hui Wang, Quan Sun, Anika Oellrich, Honghan Wu, Richard J. B. Dobson

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), 2017

Improving RNN with Attention and Embedding for Adverse Drug Reactions.

Chandra Pandey, Zina M. Ibrahim, Honghan Wu, Ehtesham Iqbal, Richard J. B. Dobson

Proceedings of the 2017 International Conference on Digital Health, 2017

Understanding Knowledge Graphs.

Honghan Wu, Ronald Denaux, Panos Alexopoulos, Yuan Ren, Jeff Z. Pan

Proceedings of the Exploiting Linked Data and Knowledge Graphs in Large Organisations, 2017

Knowledge Graph Foundations.

Boris Villazón-Terrazas, Nuria García-Santa, Yuan Ren, Alessandro Faraotti, Honghan Wu, Yuting Zhao, Guido Vetere, Jeff Z. Pan

Proceedings of the Exploiting Linked Data and Knowledge Graphs in Large Organisations, 2017

Enterprise Knowledge Graph: Looking into the Future.

Jeff Z. Pan, José Manuél Gómez-Pérez, Guido Vetere, Honghan Wu, Yuting Zhao, Marco Monti

Proceedings of the Exploiting Linked Data and Knowledge Graphs in Large Organisations, 2017

Question Answering and Knowledge Graphs.

Alessandro Moschitti, Kateryna Tymoshenko, Panos Alexopoulos, Andrew D. Walker, Massimo Nicosia, Guido Vetere, Alessandro Faraotti, Marco Monti, Jeff Z. Pan, Honghan Wu, Yuting Zhao

Proceedings of the Exploiting Linked Data and Knowledge Graphs in Large Organisations, 2017

Enterprise Knowledge Graph: An Introduction.

José Manuél Gómez-Pérez, Jeff Z. Pan, Guido Vetere, Honghan Wu

Proceedings of the Exploiting Linked Data and Knowledge Graphs in Large Organisations, 2017

Knowledge Architecture for Organisations.

Ronald Denaux, Yuan Ren, Boris Villazón-Terrazas, Panos Alexopoulos, Alessandro Faraotti, Honghan Wu

Proceedings of the Exploiting Linked Data and Knowledge Graphs in Large Organisations, 2017

2016

Encoding Medication Episodes for Adverse Drug Event Prediction.

Honghan Wu, Zina M. Ibrahim, Ehtesham Iqbal, Richard J. B. Dobson

Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

Category-Driven Association Rule Mining.

Zina M. Ibrahim, Honghan Wu, Robbie Mallah, Richard J. B. Dobson

Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

2015

Meta-Level Properties for Reasoning on Dynamic Data.

Yuting Zhao, Guido Vetere, Jeff Z. Pan, Alessandro Faraotti, Marco Monti, Honghan Wu

Proceedings of the Semantic Technology - 5th Joint International Conference, 2015

2014

Big smog meets web science: smog disaster analysis based on social media and device data on the web.

Jiaoyan Chen, Huajun Chen, Guozhou Zheng, Jeff Z. Pan, Honghan Wu, Ningyu Zhang

Proceedings of the 23rd International World Wide Web Conference, 2014

How Redundant Is It? - An Empirical Analysis on Linked Datasets.

Honghan Wu, Boris Villazón-Terrazas, Jeff Z. Pan, José Manuél Gómez-Pérez

Proceedings of the 5th International Workshop on Consuming Linked Data (COLD 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014

Graph Pattern Based RDF Data Compression.

Jeff Z. Pan, José Manuél Gómez-Pérez, Yuan Ren, Honghan Wu, Haofen Wang, Man Zhu

Proceedings of the Semantic Technology - 4th Joint International Conference, 2014

Exploiting Semantic Web Datasets: A Graph Pattern Based Approach.

Honghan Wu, Boris Villazón-Terrazas, Jeff Z. Pan, José Manuél Gómez-Pérez

Proceedings of the Semantic Web and Web Science - 8th Chinese Conference, 2014

2013

Query generation for semantic datasets.

Jeff Z. Pan, Yuan Ren, Honghan Wu, Man Zhu

Proceedings of the 7th International Conference on Knowledge Capture, 2013

2012

Ranking domain objects by <i>wisdom of web pages</i>.

Honghan Wu, Ago Luberg, Tanel Tammet

Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, 2012

Information retrieval and deduplication for tourism recommender sightsplanner.

Ago Luberg, Michael Granitzer, Honghan Wu, Priit Järv, Tanel Tammet

Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, 2012

2008

Searching Semantic Web Objects Based on Class Hierarchies.

Gong Cheng, Weiyi Ge, Honghan Wu, Yuzhong Qu

Proceedings of the WWW2008 Workshop on Linked Data on the Web, 2008

2007

Falcon-AO: Results for OAEI 2007.

Wei Hu, Yuanyuan Zhao, Dan Li, Gong Cheng, Honghan Wu, Yuzhong Qu

Proceedings of the 2nd International Workshop on Ontology Matching (OM-2007) Collocated with the 6th International Semantic Web Conference (ISWC-2007) and the 2nd Asian Semantic Web Conference (ASWC-2007), 2007

2004

CANOE: A Course Assembly and Normalization Tool for E-learning.

Han Xu, Honghan Wu, Yuzhong Qu

Proceedings of the Metadata Across Languages and Cultures: Proceedings of the 2004 International Conference on Dublin Core and Metadata Applications, 2004