Jiaoyan Chen

Contact Information

Office: 2.91, Kilburn Building, Oxford Road, Manchester M13 9PL UK

Email: firstname.lastname@manchester.ac.uk, firstname4ai@gmail.com

Twitter, UoM Website

Biography

I'm a permanent Lecturer (Assistant Professor) in Department of Computer Science, University of Manchester, and also act as a part-time Senior Researcher in Department of Computer Science, University of Oxford.

Before that, I was a full-time Senior Researcher at Department of Computer Science, University of Oxford, reporting to Prof. Ian Horrocks, and worked very shortly as a PostDoctoral Researcher in GIScience in Heidelberg University. My Ph.D in Computer Science and Technology was awarded in Zhejiang University in 2016, with the supervision of Prof. Huajun Chen and Prof. Zhaohui Wu, and my Bachelor degree in Computer Science and Technology was awarded in Zhejiang University as well in 2011. I was a visiting student of Department of Informatics, Zurich University from 2014 to 2015, with the supervision of Dr. Daning Hu.

Research Interests

My research interests focus on knowledge graphs (including ontologies):

• Knowledge Graph Construction: the embedding, alignment, completion, population, quality assurance of knowledge graphs.
• Semantic Table Understanding with knowledge graphs and machine learning.
• Language Model: exploring language models for constructing knowledge graphs, and supporting semantic embedding and reasoning.
• Machine Learning: knowledge-aware zero-shot and transfer learning, inductive knowledge graph completion, knowledge-augmented explanation.

I am recruiting PhD students in UoM! All the knowledge graph related topics are very welcomed. Please email your CV to me or directly apply our projects online: Project1, Project2, Project3, Project4.

Research Grants and Projects

• EPSRC "ConCur: Knowledge Graph Construction and Curation" (EP/V050869/1), 1.1M GBP, 12/2021 - 11/2024, Research Co-Investigator (PI: Ian Horrocks).
• Turing-Manchester Feasibility Project "Knowledge Graph for Explainability, Guidance and Human-in-the-loop in Machine Learning", 19K GBP, 11/2022 - 04/2023, PI.

I'm also working on the personal knowledge graph construction project funded by Samsung Research UK and the e-commerce taxonomy curation projection funded by eBay. I have finished working for quite a few knowledge graph related projects such as the AIDA project of the Alan Turing Institute.

Academic Services

• Associate Editor of Transactions on Graph Data and Knowledge (TGDK) (2023 -- now).
• Editor Board of Data Intelligence Journal (2021 -- now).
• Editor Board of Journal of Web Semantics (2020 -- 2023).
• Organiser of the OAEI Track "Bio-ML: A ML-friendly Biomedical track for Equivalence and Subsumption Matching" in ISWC 2022, 2023.
• Guest Editor of the Journal of Web Semantics special issue "Automating Knowledge Graph Construction".
• Organiser of SemTab: Semantic Web Challenge on Tabular Data to Knowledge Graph Matching which is in conjunction with International Semantic Web Conference (2019, 2020, 2021, 2022).
• Co-chair of Semantic Web Challenge Chair of ISWC'21.
• PC/SPC of many conferences including IJCAI, AAAI, ISWC, WWW, ACL, EMNLP, KDD, ECML-PKDD, CIKM, ESWC, OM, NeSy, CCKS, etc.

Industrial Activities

• Member of SIRIUS Centre for Scalable Data Access in Norway. (11/2017 - now)
• Consultant on knowledge graph construction (in collaboration with Xi Chen), Jarvis Lab of Tencent Technology, Shenzhen, China. (03/2020 - 02/2021)
• Consultant, Oxford Semantic Technology, Oxford, UK. (12/2019 - 02/2020)
• Enterprise Fellow of MPLS Division of University of Oxford. (10/2019 - 09/2020)

Selective Journal Publications

• Jeff Z Pan, Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, Janna Omeliyanenko, Wen Zhang, Matteo Lissandrini, Russa Biswas, Gerard de Melo, Angela Bonifati, Edlira Vakaj, Mauro Dragoni, Damien Graux. "Large Language Models and Knowledge Graphs: Opportunities and Challenges". Under work. Pre-print
• Yuan He, Jiaoyan Chen, Hang Dong, Ian Horrocks, Carlo Allocca, Taehun Kim, Brahmananda Sapkota. "DeepOnto: A Python Package for Ontology Engineering with Deep Learning". Under work. Pre-print
• Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Jeff Z. Pan, Yuan He, Wen Zhang, Ian Horrocks and Huajun Chen. "Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey". Proceedings of the IEEE (2023). Paper
• Jiaoyan Chen, Yuan He, Yuxia Geng, Ernesto Jimenez-Ruiz, Hang Dong, Ian Horrocks. "Contextual Semantic Embeddings for Ontology Subsumption Prediction". World Wide Web Journal (2023). Paper, Github
• Nan Hu, Yike Wu, Guilin Qi, Dehai Min, Jiaoyan Chen, Jeff Z Pan, Zafar Ali. "An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering". World Wide Web Journal (2023). Paper
• Yuxia Geng, Jiaoyan Chen, Xiang Zhuang, Zhuo Chen, Jeff Z. Pan, Juan Li, Zonggan Yuan and Huajun Chen. "Benchmarking Knowledge-driven Zero-shot Learning". Journal of Web Semantics 75 (2023): 100757. Github, Paper
• Jiaoyan Chen, Ernesto Jimenez-Ruiz, Ian Horrocks, Xi Chen and Erik B. Myklebust. "An assertion and alignment correction framework for large scale knowledge bases", Semantic Web, vol. 14, no. 1, pp. 29-53, 2023. Paper
• Hang Dong, Matúš Falis, William Whiteley, Beatrice Alex, Joshua Matterson, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu. "Automated clinical coding: what, why, and where we are?". NPJ Digital Medicine 5.1 (2022): 159. Paper
• Erik B. Myklebust, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen. "Prediction of adverse biological effects of chemicals using knowledge graph embeddings." Semantic Web, vol. 13, no. 3, pp. 299-338, 2022. Paper
• Jiaoyan Chen, Pan Hu, Ernesto Jimenez-Ruiz, Ole Magnus Holter, Denvar Antonyrajah and Ian Horrocks. "OWL2Vec*: Embedding of OWL Ontologies". Machine Learning 110.7 (2021): 1813-1845. Github, Paper
• Yuxia Geng, Jiaoyan Chen, Zhiquan Ye, Wei Zhang and Huajun Chen. "Explainable Zero-shot Learning via Attentive Graph Convolutional Network and Knowledge Graphs" Semantic Web 12.5 (2021): 741-765. Paper
• Jiaoyan Chen, Freddy Lecue, Jeff Z. Pan, Shumin Deng, Huajun Chen. "Knowledge Graph Embeddings for Dealing with Concept Drift in Machine Learning". Journal of Web Semantics 67 (2021): 100625. Paper
• Jiaoyan Chen, Yan Zhou, Alexander Zipf and Hongchao Fan. "Deep Learning from Multiple Crowds: A Case Study of Humanitarian Mapping." IEEE Transactions on Geoscience and Remote Sensing 57 (3), 1713-1722, 2018. (Project DeepVGI in University of Heidelberg, see more)
• Jiaoyan Chen, Huajun Chen, Zhaohui Wu, Daning Hu, and Jeff Z. Pan. "Forecasting smog-related health hazard based on social media and physical sensor." Information Systems 64 (2017): 281-291.
• Jiaoyan Chen, Huajun Chen, Xiangyi Wan, Guozhou Zheng. "MR-ELM: a MapReduce-based framework for large-scale ELM training in big data era." Neural Computing and Applications 27 (2016): 101-110.
• Jiaoyan Chen, Guozhou Zheng, Cong Fang, Ningyu Zhang, Huajun Chen, Zhaohui Wu. "Time-series processing of large scale remote sensing data with extreme learning machine." Neurocomputing 128 (2014): 199-206.

Selective Conference/Workshop Publications

• Mathias Jackermeier, Jiaoyan Chen, Ian Horrocks. "Box^2EL: Concept and Role Box Embeddings for the Description Logic EL++". Under work. Pre-print
• Wen Zhang, Jiaoyan Chen, Juan Li, Zezhong Xu, Jeff Z Pan, Huajun Chen. "Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective". Under work. Pre-print
• Hang Dong, Jiaoyan Chen, Yuan He, Ian Horrocks. "Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement". CIKM 2023. Pre-print
• Hang Dong, Jiaoyan Chen, Yuan He, Yinan Liu, Ian Horrocks. "Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking Authors". CIKM 2023. Pre-print
• Zhuo Chen, Lingbing Guo, Yin Fang, Yichi Zhang, Jiaoyan Chen, Jeff Z Pan, Yangning Li, Huajun Chen, Wen Zhang. "Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment". ISWC 2023. Pre-print
• Zhuo Chen, Jiaoyan Chen, Lingbing Guo, Yin Fang, Yufeng Huang, Yuxia Geng, Jeff Z Pan, Wenting Song, Huajun Chen. "MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid". ACM Multimedia 2023. Pre-print
• Yong Guan, Jiaoyan Chen, Freddy Lecue, Jeff Pan, Juanzi Li, Ru Li. "Trigger-Argument based Explanation for Event Detection". Findings of ACL 2023. Paper
• Yuan He, Jiaoyan Chen, Ernesto Jiménez-Ruiz, Hang Dong, Ian Horrocks. "Language Model Analysis for Ontology Subsumption Inference". Findings of ACL 2023. Paper, Github
• Jingchuan Shi, Jiaoyan Chen, Hang Dong, Ishita Khan, Lizzie Liang, Qunzhi Zhou, Zhe Wu, Ian Horrocks. "Subsumption prediction on e-commerce taxonomies". ESWC 2023. Paper
• Yangning Li, Jiaoyan Chen, Yinghui Li, Yuejia Xiang, Xi Chen, Hai-Tao Zheng. "Vision, Deduction and Alignment: An Empirical Study on Multi-modal Knowledge Graph Alignment". ICASSP 2023. Paper
• Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Wen Zhang, Yin Fang, Jeff Z Pan, Wenting Song, Huajun Chen. "DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning". AAAI 2023. Paper
• Yuxia Geng, Jiaoyan Chen, Wen Zhang, Jeff Z. Pan, Mingyang Chen, Huajun Chen, Song Jiang. "Relational Message Passing for Fully Inductive Knowledge Graph Completion". ICDE 2023. Paper, Github
• Yuxia Geng, Jiaoyan Chen, Wen Zhang, Yajing Xu, Zhuo Chen, Jeff Z. Pan, Yufeng Huang, Feiyu Xiong, Huajun Chen. "Disentangled Ontology Embedding for Zero-shot Learning". KDD 2022. Paper, Github
• Yuan He, Jiaoyan Chen, Hang Dong, Ernesto Jimenez-Ruiz, Ali Hadian and Ian Horrocks. "Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching". ISWC 2022 (Best Resource Paper Candidate). Paper, Github
• Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Yin Fang, Jeff Z. Pan, Ningyu Zhang, Wen Zhang. "LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection". IJCKG 2022 (Best Application Paper).
• Yuan He, Jiaoyan Chen, Denvar Antonyrajah and Ian Horrocks. "BERTMap: A BERT-based Ontology Alignment System". AAAI 2022. Paper,Github
• Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yefeng Zheng. "PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System". CIKM 2021 (Demo).Paper,Codes, PRASEMap Demo
• Zhuo Chen, Jiaoyan Chen, Yuxia Geng, Jeff Z. Pan, Zonggan Yuan and Huajun Chen. "Zero-shot Visual Question Answering using Knowledge Graphs", ISWC, 2021.
• Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z. Pan and Huajun Chen. "Knowledge-aware Zero-shot Learning: Survey and Perspective". IJCAI Survey Track, 2021. Paper
• Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng. "Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding". IJCAI, 2021.Paper, Codes, PRASEMap Demo
• Yuejia Xiang, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Zhenxi Lin and Yefeng Zheng. "OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding". Findings of ACL, 2021.Paper
• Jiaoyan Chen, Ernesto Jimenez-Ruiz, Ian Horrocks, Denvar Antonyrajah, Ali Hadian and Jaehun Lee. "Augmenting Ontology Alignment by Semantic Embedding and Distant Supervision". ESWC, 2021 (Best Paper Nominee). Github/Paper
• Yuxia Geng, Jiaoyan Chen, Zhuo Chen, Jeff Z. Pan, etc. "OntoZSL: Ontology-enhanced Zero-shot Learning". The Web Conference (WWW), 2021. With case studies on both image classification and KG completion.Paper,Data and Codes
• Ian Horrocks, Jiaoyan Chen and Jaehun Lee. "Tool Support for Ontology Design and Quality Assurance". ICBO 2020 Integrated Food Ontology Workshop (IFOW). Paper
• Ziheng Zhang, Jiaoyan Chen, Xi Chen, Hualuo Liu, Yuejia Xiang, Bo Liu and Yefeng Zhang. "An Industry Evaluation of Embedding-based Entity Alignment". The 28th International Conference on Computational Linguistics (COLING'2020), Industry Track. Data,Paper, Video
• Jiaoyan Chen, Freddy Lecue, Yuxia Geng, Jeff Z. Pan and Huajun Chen. "Ontology-guided Semantic Composition for Zero-Shot Learning", KR 2020 -- Special Session KR and Machine Learning Paper,Video
• Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen and Kavitha Srinivas. "SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems." ESWC 2020. Paper
• Jiaoyan Chen, Xi Chen, Ian Horrocks, Ernesto Jiménez-Ruiz and Erik B. Myklebus. "Correcting Knowledge Base Assertions." The Web Conference (WWW) 2020. Paper, Github
• Ernesto Jimenez-Ruiz, Asan Agibetov, Jiaoyan Chen, Matthias Samwald and Valerie Cross. "Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules." the 24th European Conference on Artificial Intelligence (ECAI) 2020.
• Jiaoyan Chen, Ernesto Jiménez-Ruiz and Ian Horrocks. "Canonicalizing Knowledge Base Literals." International Semantic Web Conference (ISWC) 2019. Paper, Github
• Erik B. Myklebust, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen. "Knowledge Graph Embedding for Ecotoxicological Effect Prediction." International Semantic Web Conference (ISWC) 2019. In-Use Track Best Student Paper
• Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, and Charles Sutton. "Learning Semantic Annotations for Tabular Data." IJCAI 2019. Github, Paper
• Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, and Charles Sutton. "ColNet: Embedding the Semantics of Web Tables for Column Type Prediction." AAAI 2019. Paper, Github
• Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen. "Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning." The Web Conference (WWW) 2019. Paper
• Jiaoyan Chen, Freddy Lécué, Jeff Z. Pan, Ian Horrocks, and Huajun Chen. "Knowledge-based Transfer Learning Explanation." KR 2018. Paper
• Jiaoyan Chen, Freddy Lécué, Jeff Z. Pan, and Huajun Chen. "Learning from ontology streams with semantic concept drift." IJCAI 2017. Paper
• Jiaoyan Chen, Huajun Chen, Daning Hu, Jeff Z. Pan, Yalin Zhou. "Smog Disaster Forecasting using Social Web Data and Physical Sensor Data." IEEE Big Data 2015. Paper
• Jiaoyan Chen, Huajun Chen, Guozhou Zheng, Jeff Z. Pan, Honghan Wu and Ningyu Zhang. "Big smog meets web science: smog disaster analysis based on social media and device data on the web." WWW 2014. Paper

      Please visit my Google Scholar for a complete publication list.

Selective Invited Talks and Tutorials

• Knowledge-aware Zero-shot Learning (K-ZSL): Concepts, Methods and Resources. Tutorial in IJCAI 2023 (August 19 - 25). Yuxia Geng, Zhuo Chen, Jiaoyan Chen, Wen Zhang, Jeff Z. Pan.
• "Knowledge Graph Construction, Curation and Its Machine Learning Applications". Shanghai Jiaotong University (Information System Group). Shanghai, China. 19/05/2023. Slides.
• Knowledge-aware Zero-shot Learning (K-ZSL): Concepts, Methods and Resources. Tutorial in ISWC 2022 (October 23 - 27). Jiaoyan Chen, Yuxia Geng, Yufeng Huang, Huajun Chen.
• "Knowledge Graphs: Theory & Applications". eBay, California, USA (online). In conjunction with Prof. Ian Horrocks. 09/2021. Slides.
• "Knowledge Graph Construction, Curation and Its Machine Learning Applications". 2021年江苏省研究生地理大数据与空间智能暑期学校 (Summer School on Big Geo Data and AI for Graduate Student, Jiangsu Province, 2021), online, China. 08/2021. Slide
• "Knowledge-driven Zero-shot Learning". Conference on "Data Intelligence and Knowledge Service" organized by the Data Intelligence journal. Hybrid (online and Nanjing), China. 07/2021. Slides
• "Knowledge Graph Curation with Deep Learning and Semantic Reasoning". Tencent Technology, Shenzhen, China, 10/2019. Slides
• "Knowledge Graph Curation with Deep Learning and Semantic Reasoning". Southern University of Science and Technology, Shenzhen, China, 10/2019.
• "Knowledge Graph Curation with Deep Learning". Southeast University, Nanjing, China, 08/2019

Teaching

• "Querying Data on the Web (COMP62421)". Department of Computer Science, The University of Manchester. 2023-2024.
• "Artificial Inteligence". Department of Computer Science, University of Oxford. Group Class Teaching. Hilary Term 2022.
• "Knowledge Representation and Reasoning (English)". Southeast University. Guest Lecture. 2021-2022, 2022-2023.
• “Augmenting Machine Learning with Knowledge Base”, University of Aberdeen, 01/2018 (Guest Lecture to the course of CS551J Knowledge Representation and Reasoning by Jeff Z. Pan)

Student (Co-)Supervision

• Zhenyu Wu (PhD, Department of Computer Science, The University of Manchester, 2022 - now)
• Jingchuan Shi (PhD, Department of Computer Science, University of Oxford, 2021 - now)
• Yuan He (PhD, Department of Computer Science, University of Oxford, 2020 - now)
• Yuxia Geng (PhD, College of Computer Science and Technology, Zhejiang University, 2018 - now)
• Erik Bryhn Myklebust (PhD, NIVA & SIRIUS, University of OSLO, 2019 - 2022)
• Mathias Jackermeier (MSc, Department of Computer Science, University of Oxford, 2022)
• Zhengyi Xiao (MSc, Department of Computer Science, University of Oxford, 2022)
• Yan Zhou (MSc, GIScience, University of Heidelberg, 2016 - 2017)