Dr Xiuyi Fan

Affiliate, Other

+44 (0) 1792

xiuyi.fan@swansea.ac.uk

Research Links

ResearcherID

Available For Postgraduate Supervision

About

Dr Xiuyi Fan is a Lecturer in the Department of Computer Science, Swansea University

Areas Of Expertise

Explainable AI
Argumentation
Multi-agent Systems
Artificial Intelligence

Publications

Research Highlights

Fan, X. (n.d.) A Temporal Planning Example with Assumption-Based Argumentation. In PRIMA 2018: Principles and Practice of Multi-Agent Systems (pp. 362-370).
https://doi.org/10.1007/978-3-030-03098-8_22, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa46165
Zhong, Q., Fan, X., Luo, X., & Toni, F. (2019). An explainable multi-attribute decision model based on argumentation. Expert Systems with Applications, 117, 42-61.
https://doi.org/10.1016/j.eswa.2018.09.038, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44264
Fan, X. (2018). On Generating Explainable Plans with Assumption-Based Argumentation. PRIMA 2018: Principles and Practice of Multi-Agent Systems (pp. 344-361). The 21st International Conference on Principles and Practice of Multi-Agent Systems (PRIMA2018)
https://doi.org/10.1007/978-3-030-03098-8_21, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43698
http://2018.prima-conference.org/
Fan, X. (2018). PRIMA 2018: Principles and Practice of Multi-Agent Systems (1st ed.). Springer International Publishing.
https://doi.org/10.1007/978-3-030-03098-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43697
https://www.springer.com/gp/book/9783030030971
Fan, X., Zhang, H., Leung, C., & Shen, Z. (2018). Fall Detection with Unobtrusive Infrared Array Sensors. Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System (pp. 253-267). Springer
https://doi.org/10.1007/978-3-319-90509-9_15, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39574

All Research

Journal Articles

Henderson, T., Simmons, R., Serbinowski, B., Cline, M., Sacharny, D., Fan, X., & Mitiche, A. (2020). Probabilistic sentence satisfiability: An approach to PSAT. Artificial Intelligence, 278, 103199
https://doi.org/10.1016/j.artint.2019.103199, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52818
Zhong, Q., Fan, X., Luo, X., & Toni, F. (2019). An explainable multi-attribute decision model based on argumentation. Expert Systems with Applications, 117, 42-61.
https://doi.org/10.1016/j.eswa.2018.09.038, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44264
Cyras, K., Fan, X., Schulz, C., & Toni, F. (2017). Assumption-based argumentation: Disputes, explanations, preferences. IFCoLog Journal of Logics and Their Applications, 4(8), 2407-2456.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39373
https://www.collegepublications.co.uk/ifcolog/?00017
Fan, X. & Toni, F. (2014). A general framework for sound assumption-based argumentation dialogues. Artificial Intelligence, 216, 20-54.
https://doi.org/10.1016/j.artint.2014.06.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39405
Fan, X. & HENDERSON, T. (2008). ROBOTSHARE: A GOOGLE FOR ROBOTS. International Journal of Humanoid Robotics, 05(02), 311-329.
https://doi.org/10.1142/S0219843608001388, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39407

Authored Books

Fan, X. (2018). PRIMA 2018: Principles and Practice of Multi-Agent Systems (1st ed.). Springer International Publishing.
https://doi.org/10.1007/978-3-030-03098-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43697
https://www.springer.com/gp/book/9783030030971

Book Chapters

Henderson, T., Simmons, R., Serbinowski, B., Fan, X., Mitiche, A., & Cline, M. (2018). Probabilistic Logic for Intelligent Systems. Intelligent Autonomous Systems 15 (pp. 129-141). The 15th International Conference on Intelligent Autonomous Systems
https://doi.org/10.1007/978-3-030-01370-7_11, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39581
https://link.springer.com/chapter/10.1007%2F978-3-030-01370-7_11
Fan, X. (2018). On Generating Explainable Plans with Assumption-Based Argumentation. PRIMA 2018: Principles and Practice of Multi-Agent Systems (pp. 344-361). The 21st International Conference on Principles and Practice of Multi-Agent Systems (PRIMA2018)
https://doi.org/10.1007/978-3-030-03098-8_21, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43698
http://2018.prima-conference.org/
Fan, X., Zhang, H., Leung, C., & Shen, Z. (2018). Fall Detection with Unobtrusive Infrared Array Sensors. Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System (pp. 253-267). Springer
https://doi.org/10.1007/978-3-319-90509-9_15, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39574
Fan, X. & Toni, F. (2015). Mechanism Design for Argumentation-Based Information-Seeking and Inquiry. PRIMA 2015: Principles and Practice of Multi-Agent Systems (pp. 519-527). Springer
https://doi.org/10.1007/978-3-319-25524-8_34, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39403
Fan, X. & Toni, F. (2015). On Explanations for Non-Acceptable Arguments. Theory and Applications of Formal Argumentation (pp. 112-127). Springer
https://doi.org/10.1007/978-3-319-28460-6_7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39404
Carstens, L., Fan, X., Gao, Y., & Toni, F. (2015). An Overview of Argumentation Frameworks for Decision Support. Graph Structures for Knowledge Representation and Reasoning (pp. 32-49). Springer
https://doi.org/10.1007/978-3-319-28702-7_3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39402

Conference Contributions

Kapcia, M., Eshkiki, H., Duell, J., Fan, X., Zhou, S., & Mora, B. (2021). ExMed: An AI Tool for Experimenting Explainable AI Techniques on Medical Data Analytics. In 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI) (pp. 841-845). IEEE.
https://doi.org/10.1109/ictai52525.2021.00134, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58534
Hinns, J., Fan, X., Liu, S., Kovvuri, R., Yalcin, M., & Roggenbach, M. (2021). An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study. In PRICAI 2021: Trends in Artificial Intelligence (pp. 323-335). Springer International Publishing.
https://doi.org/10.1007/978-3-030-89188-6_24, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57960
Duell, J., Fan, X., Burnett, B., Aarts, G., & Zhou, S. (2021). A Comparison of Explanations Given by Explainable Artificial Intelligence Methods on Analysing Electronic Health Records. In 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)IEEE.
https://doi.org/10.1109/bhi50953.2021.9508618, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57694
Zeng, Z., Fan, X., Miao, C., Leung, C., Jih, C., & Soon, O. (2018). Context-based and Explainable Decision Making with Argumentation. In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent SystemsInternational conference on Autonomous Agents and Multi-Agent Systems.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39573
http://ifaamas.org/Proceedings/aamas2018/pdfs/p1114.pdf
Fan, X., Zhang, H., Leung, C., & Shen, Z. (2017). Robust unobtrusive fall detection using infrared array sensors. In 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (pp. 194-199). IEEE.
https://doi.org/10.1109/mfi.2017.8170428, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39370
Sacharny, D., Henderson, T., Simmons, R., Mitiche, A., Welker, T., & Fan, X. (2017). BRECCIA: A novel multi-source fusion framework for dynamic geospatial data analysis. In 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (pp. 390-396). IEEE.
https://doi.org/10.1109/mfi.2017.8170352, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39371
Fan, X., Liu, S., Zhang, H., Miao, C., & Leung, C. (2017). Two Forms of Explanations in Computational Assumption-based Argumentation. In AAMAS 2017: Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (pp. 1532-1534). 16th Conference on Autonomous Agents and MultiAgent Systems.
https://doi.org/10.5555/3091125.3091352, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39369
Qiu, ., Li, ., Neoh, ., Zhang, ., Khaw, ., Fan, X., & Miao, . (2017). Fun-Knee™: A novel smart knee sleeve for Total-Knee-Replacement rehabilitation with gamification. In 2017 IEEE 5th International Conference on Serious Games and Applications for Health (SeGAH) (pp. 1-8). IEEE.
https://doi.org/10.1109/segah.2017.7939284, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39372
Fan, X., Zhang, H., Leung, C., & Miao, C. (2016). Comparative study of machine learning algorithms for activity recognition with data sequence in home-like environment. In 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (pp. 168-173). IEEE.
https://doi.org/10.1109/mfi.2016.7849484, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39399
Fan, X., Zhang, H., Leung, C., & Miao, C. (2016). A first step towards explained activity recognition with computational abstract argumentation. In 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (pp. 186-191). IEEE.
https://doi.org/10.1109/mfi.2016.7849487, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39400
Liu, S., Fan, X., & Miao, C. (2016). Identifying and Rewarding Subcrowds in Crowdsourcing. In 22nd European Conference on Artificial Intelligence (pp. 1573-1574). 22nd European Conference on Artificial Intelligence.
https://doi.org/10.3233/978-1-61499-672-9-1573, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39397
http://ebooks.iospress.nl/volumearticle/44926
Fan, X., Liu, S., Zhang, H., Leung, C., & Miao, C. (2016). Explained Activity Recognition with Computational Assumption-Based Argumentation. In 22nd European Conference on Artificial Intelligence (pp. 1590-1591). 22nd European Conference on Artificial Intelligence.
https://doi.org/10.3233/978-1-61499-672-9-1590, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39398
http://ebooks.iospress.nl/publication/44934
Fan, X. & Toni, F. (2016). On the Interplay between Games, Argumentation and Dialogues. In AAMAS 2016 Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems (pp. 260-268). 2016 International Conference on Autonomous Agents & Multiagent Systems.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39374
https://dl.acm.org/citation.cfm?id=2936924.2936964
Fan, X. & Toni, F. (2015). On Computing Explanations in Argumentation. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (pp. 1496-1502). Twenty-Ninth AAAI Conference on Artificial Intelligence.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39401
https://dl.acm.org/doi/10.5555/2886521.2886528
Fan, X., Toni, F., Mocanu, A., & Williams, M. (2014). Dialogical two-agent decision making with assumption-based argumentation. (pp. 533-540). International conference on Autonomous Agents and Multi-Agent Systems.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39406
Xiuyi Fan, ., Singh, S., Oppolzer, F., Nettleton, E., Hennessy, R., Lowe, A., Durrant-Whyte, H., & Fan, X. (2010). Integrated planning and control of large tracked vehicles in open terrain. (pp. 4424-4430).
https://doi.org/10.1109/ROBOT.2010.5509392, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39408
Fan, X. (n.d.) A Temporal Planning Example with Assumption-Based Argumentation. In PRIMA 2018: Principles and Practice of Multi-Agent Systems (pp. 362-370).
https://doi.org/10.1007/978-3-030-03098-8_22, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa46165

Supervision

Explainable Artificial Intelligence for Medical Science (current)

PhD

Other supervisor: Prof Gert Aarts

Other supervisor: Dr Monika Seisenberger

Dr Xiuyi Fan

Telephone number

Email address

Research Links

About

Areas Of Expertise

Publications

Research Highlights

All Research

Journal Articles

Authored Books

Book Chapters

Conference Contributions

Supervision

Explainable Artificial Intelligence for Medical Science (current)