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2020 – today
- 2024
[j24]Farah Francis
, Saturnino Luz, Honghan Wu, Sarah J. Stock, Rosemary Townsend:
Machine learning on cardiotocography data to classify fetal outcomes: A scoping review. Comput. Biol. Medicine 172: 108220 (2024)- [j23]Wei Feng, Honghan Wu, Hui Ma, Zhenhuan Tao, Mengdie Xu, Xin Zhang, Shan Lu, Cheng Wan, Yun Liu:
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. 31(2): 445-455 (2024) - [c31]Wanhong Huang, Yi Feng, Chuanyi Li, Honghan Wu, Jidong Ge, Vincent Ng:
CMDL: A Large-Scale Chinese Multi-Defendant Legal Judgment Prediction Dataset. ACL (Findings) 2024: 5895-5906 - [c30]Zhaolong Wu, Abul Hasan, Jinge Wu, Yunsoo Kim, Jason Pui Yin Cheung, Teng Zhang, Honghan Wu:
KnowLab_AIMed at MEDIQA-CORR 2024: Chain-of-Though (CoT) prompting strategies for medical error detection and correction. ClinicalNLP@NAACL 2024: 353-359 - [c29]Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Honghan Wu:
MedExQA: Medical Question Answering Benchmark with Multiple Explanations. BioNLP@ACL 2024: 167-181 - [c28]Jinge Wu, Yunsoo Kim, Honghan Wu:
Hallucination Benchmark in Medical Visual Question Answering. Tiny Papers @ ICLR 2024 - [c27]Imane Guellil, Salomé Andres, Bruce Guthrie, Atul Anand, Huayu Zhang, Abul Kalam Hasan, Honghan Wu, Beatrice Alex:
Enhancing Natural Language Processing Capabilities in Geriatric Patient Care: An Annotation Scheme and Guidelines. NLDB (2) 2024: 207-217 - [c26]Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Yue Gao, Honghan Wu:
Human-in-the-Loop Chest X-Ray Diagnosis: Enhancing Large Multimodal Models with Eye Fixation Inputs. TAI4H 2024: 66-80 - [i26]Jinge Wu, Yunsoo Kim, Honghan Wu:
Hallucination Benchmark in Medical Visual Question Answering. CoRR abs/2401.05827 (2024) - [i25]Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Yue Gao, Honghan Wu:
Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns. CoRR abs/2404.02370 (2024) - [i24]Jinge Wu, Hang Dong, Zexi Li, Arijit Patra, Honghan Wu:
Retrieving and Refining: A Hybrid Framework with Large Language Models for Rare Disease Identification. CoRR abs/2405.10440 (2024) - [i23]Jinge Wu, Abul Hasan, Honghan Wu:
RadBARTsum: Domain Specific Adaption of Denoising Sequence-to-Sequence Models for Abstractive Radiology Report Summarization. CoRR abs/2406.03062 (2024) - [i22]Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Honghan Wu:
MedExQA: Medical Question Answering Benchmark with Multiple Explanations. CoRR abs/2406.06331 (2024) - [i21]Zhaolong Wu, Abul Hasan, Jinge Wu, Yunsoo Kim, Jason Pui Yin Cheung, Teng Zhang, Honghan Wu:
Chain-of-Though (CoT) prompting strategies for medical error detection and correction. CoRR abs/2406.09103 (2024) - [i20]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. CoRR abs/2406.14312 (2024) - [i19]Jinge Wu, Zhaolong Wu, Abul Hasan, Yunsoo Kim, Jason Pui Yin Cheung, Teng Zhang, Honghan Wu:
Harnessing Knowledge Retrieval with Large Language Models for Clinical Report Error Correction. CoRR abs/2406.15045 (2024) - 2023
- [j22]Tudor Groza, Honghan Wu, Marcel E. Dinger, Daniel Danis, Coleman Hilton, Anita Bagley, Jon R. Davids, Ling Luo, Zhiyong Lu, Peter N. Robinson:
Term-BLAST-like alignment tool for concept recognition in noisy clinical texts. Bioinform. 39(12) (2023) - [j21]Yinghua Fu, Ge Zhang, Xin Lu, Honghan Wu, Dawei Zhang:
RMCA U-net: Hard exudates segmentation for retinal fundus images. Expert Syst. Appl. 234: 120987 (2023) - [j20]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:
Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports. Frontiers Digit. Health 5 (2023) - [j19]Huayu Zhang, Arlene Casey, Imane Guellil, Víctor Suárez-Paniagua, Clare Macrae, Charis Marwick, Honghan Wu, Bruce Guthrie, Beatrice Alex:
FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database. Frontiers Digit. Health 5 (2023) - [j18]Mohanad M. Alsaleh, Freya Allery, Jung Won Choi, Tuankasfee Hama, Andrew McQuillin, Honghan Wu, Johan H. Thygesen:
Prediction of disease comorbidity using explainable artificial intelligence and machine learning techniques: A systematic review. Int. J. Medical Informatics 175: 105088 (2023) - [j17]Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu:
Ontology-driven and weakly supervised rare disease identification from clinical notes. BMC Medical Informatics Decis. Mak. 23(1): 86 (2023) - [j16]Aneeta Sylolypavan, Derek H. Sleeman, Honghan Wu, Malcolm Sim:
The impact of inconsistent human annotations on AI driven clinical decision making. npj Digit. Medicine 6 (2023) - [c25]Jinge Wu, Daqian Shi, Abul Hasan, Honghan Wu:
KnowLab at RadSum23: comparing pre-trained language models in radiology report summarization. BioNLP@ACL 2023: 535-540 - [c24]Farah Francis, Saturnino Luz, Honghan Wu, Rosemary Townsend, Sarah S. Stock:
Machine Learning to Classify Cardiotocography for Fetal Hypoxia Detection. EMBC 2023: 1-4 - [e4]Zina M. Ibrahim, Honghan Wu, Nirmalie Wiratunga:
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. CEUR Workshop Proceedings 3479, CEUR-WS.org 2023 [contents] - [i18]Emily Groves, Minhong Wang, Yusuf Abdulle, Holger Kunz, Jason Hoelscher-Obermaier, Ronin Wu, 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. CoRR abs/2312.12989 (2023) - [i17]Jinge Wu, Yunsoo Kim, Eva C. Keller, Jamie Chow, Adam P. Levine, Nikolas Pontikos, Zina M. Ibrahim, Paul Taylor, Michelle C. Williams, Honghan Wu:
Exploring Multimodal Large Language Models for Radiology Report Error-checking. CoRR abs/2312.13103 (2023) - 2022
- [j15]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:
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 2022(2022) (2022) - [j14]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:
Spine-GFlow: A hybrid learning framework for robust multi-tissue segmentation in lumbar MRI without manual annotation. Comput. Medical Imaging Graph. 99: 102091 (2022) - [j13]Hang Dong, Matús Falis, William Whiteley, Beatrice Alex, Joshua Matterson, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu:
Automated clinical coding: what, why, and where we are? npj Digit. Medicine 5 (2022) - [j12]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:
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022. npj Digit. Medicine 5 (2022) - [j11]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:
A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data. IEEE J. Biomed. Health Informatics 26(1): 423-435 (2022) - [c23]Farah Francis, Honghan Wu, Saturnino Luz, Rosemary Townsend, Sarah S. Stock:
Detecting Intrapartum Fetal Hypoxia from Cardiotocography Using Machine Learning. CinC 2022: 1-4 - [c22]Imane Guellil, Jinge Wu, Honghan Wu, Tony Sun, Beatrice Alex:
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 2022: 148-152 - [c21]Honghan Wu, Aneeta Sylolypavan, Minhong Wang, Sarah Wild:
Quantifying Health Inequalities Induced by Data and AI Models. IJCAI 2022: 5192-5198 - [i16]Shaoxiong Ji, Wei Sun, Hang Dong, Honghan Wu, Pekka Marttinen:
A Unified Review of Deep Learning for Automated Medical Coding. CoRR abs/2201.02797 (2022) - [i15]Hang Dong, Matús Falis, William Whiteley, Beatrice Alex, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu:
Automated Clinical Coding: What, Why, and Where We Are? CoRR abs/2203.11092 (2022) - [i14]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:
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations. CoRR abs/2204.09781 (2022) - [i13]Honghan Wu, Minhong Wang, Aneeta Sylolypavan, Sarah Wild:
Quantifying Health Inequalities Induced by Data and AI Models. CoRR abs/2205.01066 (2022) - [i12]Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu:
Ontology-Based and Weakly Supervised Rare Disease Phenotyping from Clinical Notes. CoRR abs/2205.05656 (2022) - [i11]Jinge Wu, Rowena Smith, Honghan Wu:
Adverse Childhood Experiences Identification from Clinical Notes with Ontologies and NLP. CoRR abs/2208.11466 (2022) - [i10]Jinge Wu, Rowena Smith, Honghan Wu:
Ontology-Driven Self-Supervision for Adverse Childhood Experiences Identification Using Social Media Datasets. CoRR abs/2208.11701 (2022) - 2021
- [j10]Huayu Zhang, Amy Ferguson, Grant Robertson, Muchen Jiang, Teng Zhang, Cathie Sudlow, Keith Smith, Kristiina Rannikmäe, Honghan Wu:
Benchmarking network-based gene prioritization methods for cerebral small vessel disease. Briefings Bioinform. 22(5) (2021) - [j9]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:
The reporting quality of natural language processing studies: systematic review of studies of radiology reports. BMC Medical Imaging 21(1): 142 (2021) - [j8]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:
Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2. J. Am. Medical Informatics Assoc. 28(4): 791-800 (2021) - [j7]Hang Dong, Víctor Suárez-Paniagua, William Whiteley, Honghan Wu:
Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation. J. Biomed. Informatics 116: 103728 (2021) - [j6]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:
A systematic review of natural language processing applied to radiology reports. BMC Medical Informatics Decis. Mak. 21(1): 179 (2021) - [j5]Kristiina Rannikmäe, Honghan Wu, Steven Tominey, William Whiteley, Naomi Allen, Cathie Sudlow:
Developing automated methods for disease subtyping in UK Biobank: an exemplar study on stroke. BMC Medical Informatics Decis. Mak. 21(1): 191 (2021) - [c20]Emma Whitfield, Claire Coffey, Huayu Zhang, Ting Shi, Xiaodong Wu, Qiang Li, Honghan Wu:
Axes of Prognosis: Identifying Subtypes of COVID-19 Outcomes. AMIA 2021 - [c19]Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Emma Whitfield, Honghan Wu:
Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision. EMBC 2021: 2294-2298 - [i9]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:
A Systematic Review of Natural Language Processing Applied to Radiology Reports. CoRR abs/2102.09553 (2021) - [i8]Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Emma Whitfield, Honghan Wu:
Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision. CoRR abs/2105.01995 (2021) - 2020
- [j4]Zina M. Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard J. B. Dobson, Andrea Agarossi:
On classifying sepsis heterogeneity in the ICU: insight using machine learning. J. Am. Medical Informatics Assoc. 27(3): 437-443 (2020) - [c18]Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson:
Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. ECAI 2020: 1826-1833 - [c17]Xihe Kuang, Jason Pui Yin Cheung, Honghan Wu, Socrates Dokos, Teng Zhang:
MRI-SegFlow: a novel unsupervised deep learning pipeline enabling accurate vertebral segmentation of MRI images. EMBC 2020: 1633-1636 - [c16]Honghan Wu, Minhong Wang, Qianyi Zeng, Wenjun Chen, Thomas Nind, Emily R. Jefferson, Marion Bennie, Corri Black, Jeff Z. Pan, Cathie Sudlow, Dave Robertson:
Knowledge Driven Phenotyping. MIE 2020: 1327-1328 - [i7]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:
Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR. CoRR abs/2002.08901 (2020) - [i6]Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson:
Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. CoRR abs/2004.01431 (2020) - [i5]Hang Dong, Víctor Suárez-Paniagua, William Whiteley, Honghan Wu:
Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation. CoRR abs/2010.15728 (2020) - [i4]Zina M. Ibrahim, Daniel Bean, Thomas Searle, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson:
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data. CoRR abs/2011.09361 (2020)
2010 – 2019
- 2019
- [i3]Philip John Gorinski, Honghan Wu, Claire Grover, Richard Tobin, Conn Talbot, Heather Whalley, Cathie Sudlow, William Whiteley, Beatrice Alex:
Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches. CoRR abs/1903.03985 (2019) - [i2]Honghan Wu, Karen Hodgson, Sue Dyson, Katherine I. Morley, Zina M. Ibrahim, Ehtesham Iqbal, Robert Stewart, Richard J. B. Dobson, Cathie Sudlow:
Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification. CoRR abs/1903.03995 (2019) - [i1]Zina M. Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard J. B. Dobson, Andrea Agarossi:
On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning. CoRR abs/1912.00672 (2019) - 2018
- [j3]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:
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. 25(5): 530-537 (2018) - [j2]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:
CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital. BMC Medical Informatics Decis. Mak. 18(1): 47:1-47:13 (2018) - [e3]Kerstin Bach, Razvan C. Bunescu, Oladimeji Farri, Aili Guo, Sadid A. Hasan, Zina M. Ibrahim, Cindy Marling, Jesse Raffa, Jonathan Rubin, Honghan Wu:
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. CEUR Workshop Proceedings 2148, CEUR-WS.org 2018 [contents] - 2017
- [j1]Honghan Wu, Anika Oellrich, Christine Girges, Bernard de Bono, Tim J. P. Hubbard, Richard J. B. Dobson:
Automated PDF highlighting to support faster curation of literature for Parkinson's and Alzheimer's disease. Database J. Biol. Databases Curation 2017: bax027 (2017) - [c15]Chandra Pandey, Zina M. Ibrahim, Honghan Wu, Ehtesham Iqbal, Richard J. B. Dobson:
Improving RNN with Attention and Embedding for Adverse Drug Reactions. DH 2017: 67-71 - [c14]Hui Wang, Quan Sun, Anika Oellrich, Honghan Wu, Richard J. B. Dobson:
The psycho-env corpus: research articles annotated for knowledge discovery on correlating mental diseases and environmental factors. KDH@IJCAI 2017: 36-40 - [p6]José Manuél Gómez-Pérez, Jeff Z. Pan, Guido Vetere, Honghan Wu:
Enterprise Knowledge Graph: An Introduction. Exploiting Linked Data and Knowledge Graphs in Large Organisations 2017: 1-14 - [p5]Boris Villazón-Terrazas, Nuria García-Santa, Yuan Ren, Alessandro Faraotti, Honghan Wu, Yuting Zhao, Guido Vetere, Jeff Z. Pan:
Knowledge Graph Foundations. Exploiting Linked Data and Knowledge Graphs in Large Organisations 2017: 17-55 - [p4]Ronald Denaux, Yuan Ren, Boris Villazón-Terrazas, Panos Alexopoulos, Alessandro Faraotti, Honghan Wu:
Knowledge Architecture for Organisations. Exploiting Linked Data and Knowledge Graphs in Large Organisations 2017: 57-84 - [p3]Honghan Wu, Ronald Denaux, Panos Alexopoulos, Yuan Ren, Jeff Z. Pan:
Understanding Knowledge Graphs. Exploiting Linked Data and Knowledge Graphs in Large Organisations 2017: 147-180 - [p2]Alessandro Moschitti, Kateryna Tymoshenko, Panos Alexopoulos, Andrew D. Walker, Massimo Nicosia, Guido Vetere, Alessandro Faraotti, Marco Monti, Jeff Z. Pan, Honghan Wu, Yuting Zhao:
Question Answering and Knowledge Graphs. Exploiting Linked Data and Knowledge Graphs in Large Organisations 2017: 181-212 - [p1]Jeff Z. Pan, José Manuél Gómez-Pérez, Guido Vetere, Honghan Wu, Yuting Zhao, Marco Monti:
Enterprise Knowledge Graph: Looking into the Future. Exploiting Linked Data and Knowledge Graphs in Large Organisations 2017: 237-249 - [e2]Jeff Z. Pan, Guido Vetere, José Manuél Gómez-Pérez, Honghan Wu:
Exploiting Linked Data and Knowledge Graphs in Large Organisations. Springer 2017, ISBN 978-3-319-45652-2 [contents] - [e1]Zina M. Ibrahim, Honghan Wu, Kerstin Bach, Richard J. B. Dobson, Spiros C. Denaxas, Nirmalie Wiratunga, Stewart Massie, Sadiq Sani:
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. CEUR Workshop Proceedings 1891, CEUR-WS.org 2017 [contents] - 2016
- [c13]Zina M. Ibrahim, Honghan Wu, Robbie Mallah, Richard J. B. Dobson:
Category-Driven Association Rule Mining. SGAI Conf. 2016: 21-35 - [c12]Honghan Wu, Zina M. Ibrahim, Ehtesham Iqbal, Richard J. B. Dobson:
Encoding Medication Episodes for Adverse Drug Event Prediction. SGAI Conf. 2016: 245-250 - 2015
- [c11]Yuting Zhao, Guido Vetere, Jeff Z. Pan, Alessandro Faraotti, Marco Monti, Honghan Wu:
Meta-Level Properties for Reasoning on Dynamic Data. JIST 2015: 271-279 - 2014
- [c10]Honghan Wu, Boris Villazón-Terrazas, Jeff Z. Pan, José Manuél Gómez-Pérez:
Exploiting Semantic Web Datasets: A Graph Pattern Based Approach. CSWS 2014: 167-173 - [c9]Jeff Z. Pan, José Manuél Gómez-Pérez, Yuan Ren, Honghan Wu, Haofen Wang, Man Zhu:
Graph Pattern Based RDF Data Compression. JIST 2014: 239-256 - [c8]Honghan Wu, Boris Villazón-Terrazas, Jeff Z. Pan, José Manuél Gómez-Pérez:
How Redundant Is It? - An Empirical Analysis on Linked Datasets. COLD 2014 - [c7]Jiaoyan Chen, Huajun Chen, Guozhou Zheng, Jeff Z. Pan, Honghan Wu, Ningyu Zhang:
Big smog meets web science: smog disaster analysis based on social media and device data on the web. WWW (Companion Volume) 2014: 505-510 - 2013
- [c6]Jeff Z. Pan, Yuan Ren, Honghan Wu, Man Zhu:
Query generation for semantic datasets. K-CAP 2013: 113-116 - 2012
- [c5]Ago Luberg, Michael Granitzer, Honghan Wu, Priit Järv, Tanel Tammet:
Information retrieval and deduplication for tourism recommender sightsplanner. WIMS 2012: 50:1-50:11 - [c4]Honghan Wu, Ago Luberg, Tanel Tammet:
Ranking domain objects by wisdom of web pages. WIMS 2012: 67:1-67:4
2000 – 2009
- 2008
- [c3]Gong Cheng, Weiyi Ge, Honghan Wu, Yuzhong Qu:
Searching Semantic Web Objects Based on Class Hierarchies. LDOW 2008 - 2007
- [c2]Wei Hu, Yuanyuan Zhao, Dan Li, Gong Cheng, Honghan Wu, Yuzhong Qu:
Falcon-AO: Results for OAEI 2007. OM 2007 - 2004
- [c1]Han Xu, Honghan Wu, Yuzhong Qu:
CANOE: A Course Assembly and Normalization Tool for E-learning. Dublin Core Conference 2004
Coauthor Index