Hang Dong - RankMe

60 papers A* 1A 3B 1Misc 1Journal 37Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evaluating Inductive Reasoning and Programming Capabilities of Large Language Models With The One-Dimensional Abstract Reasoning Corpus. Intelligenza Artificiale Cédric S. Mesnage, Xiaoyang Wang, Hang Dong, Aishwaryaprajna
2025	J	`jnl`	Real-Time World Crafting: Generating Structured Game Behaviors from Natural Language with Large Language Models. CoRR Austin Drake, Hang Dong
2025	—	`conf`	Robustness of Question Answering Systems in the Biomedical Domain: a study of the BioASQ dataset. ICIT Andrew Reeves, Hang Dong
2024	—	`conf`	A Language Model Based Framework for New Concept Placement in Ontologies. ESWC (1) Hang Dong, Jiaoyan Chen, Yuan He, Yongsheng Gao, Ian Horrocks
2024	J	`jnl`	A Language Model based Framework for New Concept Placement in Ontologies. CoRR Hang Dong, Jiaoyan Chen, Yuan He, Yongsheng Gao, Ian Horrocks
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`	Can GPT-3.5 Generate and Code Discharge Summaries? CoRR Matús Falis, Aryo Pradipta Gema, Hang Dong, Luke Daines, Siddharth Basetti, Michael Holder, Rose S. Penfold, Alexandra Birch, Beatrice Alex
2024	J	`jnl`	Can GPT-3.5 generate and code discharge summaries? J. Am. Medical Informatics Assoc. Matús Falis, Aryo Pradipta Gema, Hang Dong, Luke Daines, Siddharth Basetti, Michael Holder, Rose S. Penfold, Alexandra Birch, Beatrice Alex
2024	J	`jnl`	DeepOnto: A Python package for ontology engineering with deep learning. Semantic Web Yuan He, Jiaoyan Chen, Hang Dong, Ian Horrocks, Carlo Allocca, Taehun Kim, Brahmananda Sapkota
2024	A	`conf`	Ontology Text Alignment: Aligning Textual Content to Terminological Axioms. ECAI Jieying Chen, Hang Dong, Jiaoyan Chen, Ian Horrocks
2024	—	`conf`	Results of the Ontology Alignment Evaluation Initiative 2024. OM@ISWC Mina Abd Nikooie Pour, Alsayed Algergawy, Eva Blomqvist, Patrice Buche, Jiaoyan Chen, Adrien Coulet, Julien Cufi, Hang Dong, Daniel Faria, Lucas Ferraz, Pedro Giesteira Cotovio, Yuan He, Sven Hertling, Ian Horrocks, Liliana Ibanescu, Sarika Jain, Ernesto Jiménez-Ruiz, Naouel Karam, Felix Kraus, Patrick Lambrix, Huanyu Li, Ying Li, Pierre Monnin, Heiko Paulheim, Catia Pesquita, Abhisek Sharma, Pavel Shvaiko, Marta Contreiras Silva, Guilherme Sousa, Cássia Trojahn, Jana Vatascinová, Beyza Yaman, Ondrej Zamazal, Lu Zhou
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	A*	`conf`	Taxonomy Completion via Implicit Concept Insertion. WWW Jingchuan Shi, Hang Dong, Jiaoyan Chen, Zhe Wu, Ian Horrocks
2023	J	`jnl`	Contextual semantic embeddings for ontology subsumption prediction. World Wide Web (WWW) Jiaoyan Chen, Yuan He, Yuxia Geng, Ernesto Jiménez-Ruiz, Hang Dong, Ian Horrocks
2023	J	`jnl`	DeepOnto: A Python Package for Ontology Engineering with Deep Learning. CoRR Yuan He, Jiaoyan Chen, Hang Dong, Ian Horrocks, Carlo Allocca, Taehun Kim, Brahmananda Sapkota
2023	—	`conf`	Exploring Large Language Models for Ontology Alignment. ISWC (Posters/Demos/Industry) Yuan He, Jiaoyan Chen, Hang Dong, Ian Horrocks
2023	J	`jnl`	Exploring Large Language Models for Ontology Alignment. CoRR Yuan He, Jiaoyan Chen, Hang Dong, Ian Horrocks
2023	J	`jnl`	Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities. CoRR Jiaoyan Chen, Hang Dong, Janna Hastings, Ernesto Jiménez-Ruiz, Vanessa López, Pierre Monnin, Catia Pesquita, Petr Skoda, Valentina Tamma
2023	J	`jnl`	Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities. TGDK Jiaoyan Chen, Hang Dong, Janna Hastings, Ernesto Jiménez-Ruiz, Vanessa López, Pierre Monnin, Catia Pesquita, Petr Skoda, Valentina Tamma
2023	—	`conf`	Language Model Analysis for Ontology Subsumption Inference. ACL (Findings) Yuan He, Jiaoyan Chen, Ernesto Jiménez-Ruiz, Hang Dong, Ian Horrocks
2023	J	`jnl`	Language Model Analysis for Ontology Subsumption Inference. CoRR Yuan He, Jiaoyan Chen, Ernesto Jiménez-Ruiz, Hang Dong, Ian Horrocks
2023	A	`conf`	Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement. CIKM Hang Dong, Jiaoyan Chen, Yuan He, Ian Horrocks
2023	J	`jnl`	Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement. CoRR Hang Dong, Jiaoyan Chen, Yuan He, Ian Horrocks
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	—	`conf`	Results of the Ontology Alignment Evaluation Initiative 2023. OM@ISWC Mina Abd Nikooie Pour, Alsayed Algergawy, Patrice Buche, Leyla Jael Castro, Jiaoyan Chen, Adrien Coulet, Julien Cufi, Hang Dong, Omaima Fallatah, Daniel Faria, Irini Fundulaki, Sven Hertling, Yuan He, Ian Horrocks, Martin Huschka, Liliana Ibanescu, Sarika Jain, Ernesto Jiménez-Ruiz, Naouel Karam, Patrick Lambrix, Huanyu Li, Ying Li, Pierre Monnin, Engy Nasr, Heiko Paulheim, Catia Pesquita, Tzanina Saveta, Pavel Shvaiko, Guilherme Sousa, Cássia Trojahn, Jana Vatascinová, Mingfang Wu, Beyza Yaman, Ondrej Zamazal, Lu Zhou
2023	A	`conf`	Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking. CIKM Hang Dong, Jiaoyan Chen, Yuan He, Yinan Liu, Ian Horrocks
2023	J	`jnl`	Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking. CoRR Hang Dong, Jiaoyan Chen, Yuan He, Yinan Liu, Ian Horrocks
2023	B	`conf`	Subsumption Prediction for E-Commerce Taxonomies. ESWC Jingchuan Shi, Jiaoyan Chen, Hang Dong, Ishita K. Khan, Lizzie Liang, Qunzhi Zhou, Zhe Wu, Ian Horrocks
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`	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	J	`jnl`	Contextual Semantic Embeddings for Ontology Subsumption Prediction. CoRR Jiaoyan Chen, Yuan He, Ernesto Jiménez-Ruiz, Hang Dong, Ian Horrocks
2022	—	`conf`	Horses to Zebras: Ontology-Guided Data Augmentation and Synthesis for ICD-9 Coding. BioNLP@ACL Matús Falis, Hang Dong, Alexandra Birch, Beatrice Alex
2022	Misc	`conf`	Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching. ISWC Yuan He, Jiaoyan Chen, Hang Dong, Ernesto Jiménez-Ruiz, Ali Hadian, Ian Horrocks
2022	J	`jnl`	Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching. CoRR Yuan He, Jiaoyan Chen, Hang Dong, Ernesto Jiménez-Ruiz, Ali Hadian, Ian Horrocks
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	—	`conf`	Results of the Ontology Alignment Evaluation Initiative 2022. OM@ISWC Mina Abd Nikooie Pour, Alsayed Algergawy, Patrice Buche, Leyla Jael Castro, Jiaoyan Chen, Hang Dong, Omaima Fallatah, Daniel Faria, Irini Fundulaki, Sven Hertling, Yuan He, Ian Horrocks, Martin Huschka, Liliana Ibanescu, Ernesto Jiménez-Ruiz, Naouel Karam, Amir Laadhar, Patrick Lambrix, Huanyu Li, Ying Li, Franck Michel, Engy Nasr, Heiko Paulheim, Catia Pesquita, Tzanina Saveta, Pavel Shvaiko, Cássia Trojahn, Chantelle Verhey, Mingfang Wu, Beyza Yaman, Ondrej Zamazal, Lu Zhou
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	—	`conf`	A multi-BERT hybrid system for Named Entity Recognition in Spanish radiology reports. CLEF (Working Notes) Víctor Suárez-Paniagua, Hang Dong, Arlene Casey
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	J	`jnl`	Automated Social Text Annotation With Joint Multilabel Attention Networks. IEEE Trans. Neural Networks Learn. Syst. Hang Dong, Wei Wang, Kaizhu Huang, Frans Coenen
2021	—	`conf`	CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification. EMNLP (1) Matús Falis, Hang Dong, Alexandra Birch, Beatrice Alex
2021	J	`jnl`	CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification. CoRR Matús Falis, Hang Dong, Alexandra Birch, Beatrice Alex
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`	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`	Knowledge base enrichment by relation learning from social tagging data. Inf. Sci. Hang Dong, Wei Wang, Frans Coenen, Kaizhu Huang
2020	—	`—`	Learning and leveraging structured knowledge from user-generated social media data. Hang Dong
2019	—	`conf`	Joint Multi-Label Attention Networks for Social Text Annotation. NAACL-HLT (1) Hang Dong, Wei Wang, Kaizhu Huang, Frans Coenen
2019	J	`jnl`	Motivations for self-archiving on an academic social networking site: A study on researchgate. J. Assoc. Inf. Sci. Technol. Jongwook Lee, Sanghee Oh, Hang Dong, Fang Wang, Gary Burnett
2018	—	`conf`	Learning Relations from Social Tagging Data. PRICAI (1) Hang Dong, Wei Wang, Frans Coenen
2018	—	`conf`	Rules for Inducing Hierarchies from Social Tagging Data. iConference Hang Dong, Wei Wang, Frans Coenen
2018	—	`conf`	Topic-graph based recommendation on social tagging systems: a study on research gate. DSIT Yuyun Chen, Hang Dong, Wei Wang
2015	—	`conf`	Learning Structured Knowledge from Social Tagging Data: A Critical Review of Methods and Techniques. SmartCity Hang Dong, Wei Wang, Hai-Ning Liang