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Tommy Yuan's
Publications |
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Refereed
Journals and Book Chapters |
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Malmqvist, L., Yuan,T. and
Nightingale P. 2024. Approximating problems in abstract argumentation with graph
convolutional networks. Artificial Intelligence, 366:104209, doi.org/10.1016/j.artint.2024.104209 |
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Yuan, T, 2022. Is it good time for online learning in
higher education? York Scholarship of
Teaching and Learning Journal, Volume 5, Summer 2022, pp81–98. |
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AlRossais, N., Kudenko, D. & Yuan, T.
2021. Improving cold-start recommendations using item-based stereotypes. User Model User-Adapted Interaction,
(2021). doi.org/10.1007/s11257-021-09293-9 |
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Al-Khawaldeh, F., Yuan,T. and Kazakov, D. 2021. Warrants Generations Using
a Language Model and a Multi-Agent System. International Journal on Natural Language Computing(IJNLC), vol.
10, no. 6, pp. 17–26 |
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Al-Khawaldeh, F. Yuan, T. and
Kazakov, D. 2020. RL-GAN based Toulmin argument generation. Journal of Applied Science and
Computations, 7 (3), 106-120 |
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Al-Khawaldeh, F. Yuan, T. and
Kazakov, D. 2020. Integrating stance detection and factuality checking. International Journal of Advanced Studies
in Computers, Science and Engineering, 9(3): 1-17 |
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Zhang, Y., Wang, H, Yuan, T., Lv,
J, Xu, T. (2018). Hybrid Online Safety Observer for CTCS-3 Train Control
System On-Board Equipment. IEEE
Transactions on Intelligent Transportation Systems, 99:1-10. |
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Wang, G., Xu, T., Tang, T., Yuan, T., Wang H. (2017). A
Bayesian network model for prediction of weather-related failures in railway
turnout systems. Expert Systems with
Applications 69, 247-256. |
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Xu, T., Wang, G., Wang, H. Yuan, T. and Zhong Z. (2016). Gap
Measurement of Point Machine Using Adaptive Wavelet Threshold and
Mathematical Morphology. Sensors 16
(12), 2006. |
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Xu, T., Wang,H., Yuan,T. Zhou, M. (2016). BDD-based synthesis of fail-safe
supervisory controllers for safety-critical discrete event systems. IEEE
Transactions on Intelligent Transportation Systems 17 (9):2385-2394 |
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Cai, L., Ma, Y., Yuan, T. Wang, H. and Xu, T. (2015). An Application of Canny Edge
Detection Algorithm to Rail Thermal Image Fault Detection. Journal of Computer and Communications
3: 19-24. |
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Yuan, T., Kelly, T. and Xu, T. (2015). Computer-assisted safety argument review - a
dialectics approach. Argument and
Computation 6(2): 130-148. http://dx.doi.org/10.1080/19462166.2014.927921 |
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Yuan, T., Manandhar, S. Kelly, T. and Wells S. (2015). Automatically Detecting Fallacies in
System Safety Arguments. Principles and Practice of Multi-Agent Systems, LNCS 9935: 47-59, Springer. |
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Xu, T., Tang, T., Wang, H. and Yuan, T. (2013). Risk-Based
Predictive Maintenance for Safety-Critical Systems by Using Probabilistic
Inference. Mathematical Problems in
Engineering, Volume 2013, Article ID 947104, 9 pages. |
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Wang, H., Xu, T. and Yuan, T. (2013). A Novel On-Line
Safety Observer for Railway Interlocking System. Journal of Transportation Engineering, 139(7):719-727. |
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Zhong, G. and Yuan, T. (2012). Research on UK
Higher Education Quality Assurance System-Taking the University of York as an
Example. Journal of Chongqing College
of Education, 25(5):94-101. |
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Yuan, T. and Kelly, T. (2012). Argument-based
Approach to Computer System Safety Engineering. International Journal of Critical Computer-based Systems,
3(3):151-167. |
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Yuan, T. and Kelly, T. (2011). Argument Schemes in
Computer System Safety Engineering. Informal
Logic, 31 (2): 89-109. |
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Yuan, T., Moore, D., Reed, C., Ravenscroft, A. and Maudet N. (2011). Informal Logic Dialogue Games in
Human-Computer Dialogue. Knowledge
Engineering Review, 26(2):159-174. |
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Yuan, T., Moore, D. and Grierson, A. (2010). Assessing Debate Strategies via Computational
Agents. Argument and Computation, 1(3):215-248. |
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Yuan, T., Moore, D. and Grierson, A. (2008). A Human-Computer Dialogue System for Educational Debate, A Computational Dialectics Approach. International Journal of Artificial Intelligence in Education, 18(1):3-26. |
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Yuan, T., Moore, D. and Grierson, A. (2007). A Human Computer Debating System and Its Dialogue Strategies. International Journal of Intelligent Systems, Special Issue on Computational Models of Natural Argument, 22 (1):133-156. |
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Yuan, T. Moore, D and Reed, C. (2007).
Computational Use of Informal Logic Dialogue Games. In Oskarsson, H.
(eds.) Afmaelisrit Haskolans
a Akureyri 2007 (20thAnniversary of the |
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Yuan, T., Moore, D. and Grierson, A. (2003). Computational Agents as a Test-Bed to Study Philosophical Model DE, A Development of Mackenzie's DC. Journal of Informal Logic vol. 23.3 pp.263-284. |
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Conference
Publications |
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Alzaidee, F., Yuan, T, and Nightingale, P. 2025. End-to-End Argument
Mining in Student Essays: A Comparison of Pipeline and Multi-Task Generative
Models. In The 25th International Workshop on Computational Models of
Natural Argument (CMNA’25). |
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Ibrahimov, Y., Anwar, T. and
Yuan, T. 2025. DepressionX: Knowledge Infused
Residual Attention for Explainable Depression Severity Assessment.The
9th International Workshop on Health Intelligence (W3PHIAI-25), in the 39th AAAI
Conference on Artificial Intelligence (AAAI-25), Philadelphia, PA, USA. |
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Yuan, T. and Joy, L. 2025.
Automated marking and feedback with VLE exams. UoY Leaning and Teaching Forum
magazine. |
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de Wynter, A. and Yuan, T. 2024.
I’d Like to Have an Argument, Please”: Argumentative Reasoning in Large
Language Models. In The 10th International Conference on Computational
Models of Argument. Hagen, Germany, September, 2024. |
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Alzaidee, F., Yuan, T, Nightingale, P. and Khaled E. 2024. Enhancing
Essay Argument Persuasiveness Prediction Using a RoBERTa-LSTM
Hybrid Model. In The 24th International Workshop on Computational Models of Natural Argument
(CMNA’24). Hagen, Germany, September, 2024. |
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Alba, L, and Yuan, T. 2022.
Leveraging BERT Encodings for Open-Domain Stance Classification. In CMNA’22:
Workshop on Computational Models of Natural Argument, September 12, 2022,
Cardiff. [ |
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Stubbs, C, and Yuan, T. 2022.
Towards an Argument Knowledge Base for Autonomous Debating Systems. In CMNA’22:
Workshop on Computational Models of Natural Argument, September 12, 2022,
Cardiff. |
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Yuan, T., Ji, S. and Zhong, G.
2022. The Exploration of the Future Teaching Mode in Postpandemic
Higher Education. 2022 the 7th
International Conference on Distance Education and Learning (ICDEL 2022),
Beijing. |
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Ji, S. and Yuan, T. 2022.
Conversational Intelligent Tutoring Systems for Online Learning: What do
Students and Tutors Say? 2022 IEEE
Global Engineering Education Conference (EDUCON), 292-298. |
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Al-Khawaldeh,
F., Yuan,T. and Kazakov, D. 2022. Perspectives
Generation via Multi-Head Attention Mechanism and Common-Sense Knowledge. International Conference on NLP, Data
Mining and Machine Learning (NLDML 2022), Virtual Conference |
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AlKhawaldeh, F., Yuan, T., Kazakov, D. 2021. A Novel Model for Enhancing
Fact-Checking. In Proceedings of the
2021 Computing Conference, London, vol 284, 661-677 |
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l-Khawaldeh,
F., Yuan, T. and Kazakov, D. 2021. Warrant Generation through Deep Learning,
in Proceedings of the 7th International
Conference on Natural Language Computing (NATL 2021), London |
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Malmqvist, L., Yuan, T.
Nightingale, P. 2021. Improving Misinformation Detection in Tweets with
Abstract Argumentation, in Proceedings
of the 21st Workshop on Computational Models of Natural Argument
(CMNA21), Virtual |
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Malmqvist, L. Yuan, T. Manandhar,
S. 2020. Visualising Argumentation Graphs with Graph Embeddings and t-SNE. COMMA Workshop on Argument Visualization (ArgVis), Italy. |
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Malmqvist, L. Yuan, T.
Nightingale, P. Manandhar, S. 2020. Determining the Acceptability of Abstract
Arguments with Graph Convolutional Networks. The third international workshop on systems and algorithms for formal
argumentation (SAFA@COMMA), Italy, 47-56. |
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Lin, X., Yuan, T. and Lei, G.
2019. History and Development Tendency of Human – Computer Dialogue System, 2nd International Conference on Artificial
Intelligence and Big Data (ICAIBD), 25-28 May 2019 Chengdu, China |
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Alahmari, S, Yuan, T. and Kudenko, D. (2019). “Reinforcement learning of dialogue
coherence and relevance”, in Proceedings
of the 19th Workshop on Computational Models of Natural Argument
(CMNA19), 2019 |
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Alahmari, S, Yuan, T. and Kudenko, D. (2019). “Reinforcement learning for dialogue game based
argumentation”, in Proceedings of the 19th Workshop on Computational Models of Natural Argument (CMNA19). |
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Lin, X., Yuan, T. and Lei, G.
(2019). History and Development Tendency of Human - Computer Dialogue System,
2nd International Conference on Artificial Intelligence and Big Data
(ICAIBD), 25-28 May 2019 Chengdu, China. |
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Alahmari, S., Yuan, T. and Kudenko D. (2018).
Policy generalisation in reinforcement learning for abstract argumentation. International Workshop on Computational
Models of Natural Arguments, Liverpool. |
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Alahmari, S., Yuan, T. and Kudenko D. (2017). Reinforcement Learning for Argumentation: Describing
a PhD research. International Workshop on Computational Models of Natural Arguments,
London. |
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Alahmari, S., Yuan, T. and Kudenko D. (2017). Reinforcement
Learning for Abstract Argumentation: A Q-learning approach. Adaptive and Learning Agents
workshop (at AAMAS 2017), Sao Paulo,
Brazil. |
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Yuan,
T., Manandhar, S. Kelly, T. and Wells S. (2015). Automatically
Detecting Fallacies in System Safety Arguments. Proceedings of the 15th International Workshop on
Computation Models of Natural Argument(CMNA15), Bertinoro, Italy. |
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Signore, A., Yuan, T. and Balasi, P. (2014).
You Talk! - You vs. Autism. In Proceedings of the 14th International Conference on Computers Helping People with
Special Needs, France, July 09-11. |
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Balasi,
P., Yuan, T. and Signore, A. (2014). Computer games
for diagnosis and treatment of elderly people with dementia-Alzheimer. In
Proceedings of Universal Learning
Design, the 14th International Conference on Computers Helping People with
Special Needs, France, July 09-11. |
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Yuan,
T., Kelly, T. Xu, T. Wang, H. and Zhao, L. (2013). A Dialogue-based Safety
Argument Review Tool. In Proceedings
of the 1st International Workshop on
Argument for Agreement and Assurance (AAA-2013), Kanagawa, Japan. |
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Yuan,
T. and Zhong, G. (2013). A Computer-Based Story Builder for Children with
Autism. In Proceedings of the 3rd Int.
Conference on Computer Science and Network Technology, Dalian, China. |
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Yuan,
T. and Zhong, G. (2013). Collaborative Argumentation on the Web-A Dialogue
Game Approach. IEEE 13th International Conference on Advanced
Learning Technologies (ICALT), pp. 161-165, Beijing. |
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Yuan, T. and Wells, S. (2013). ProtOCL:
Specifying dialogue games using UML and OCL. In Proceedings of ICAIL'2013
Workshop on Computational Models of
Natural Argument, Rome, Italy. |
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Zhong, G. and Yuan, T. (2012). Provisioning virtual
educational resources based on private cloud. In Proceedings of the 2nd International Conference on Information
Engineering and Applications (IEA 2012), Springer London, pp. 345-355, Chongqing,
China. |
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Zhong,
G. and Yuan, T. (2012). Efficient Scheme of Improving Experience of Student
Software Engineering. In Proceedings of
the 2nd International Conference on Information Engineering and Applications
(IEA 2012), Springer London, pp. 695-703, Chongqing, China. |
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Yuan, J., Yao, L., Yuan, T., Hao, Z. and Liu, F.
(2011). Multi-party Dialogue Games for Distributed Argumentation System. In Proceedings of 2011 IEEE/WIC/ACM
International Conference on Intelligent Agent Technology, pp.329-332, Lyon,
France. |
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Yuan, T., Moore, D., Ravenscroft, A. and Zhong, G.
(2010). Evaluation of a Human-Computer Dialogue System for Educational
Debate. In Proceedings of the Second
Global Congress on Intelligent Systems (GCIS 2010), vol. 2, pp. 359-362,
Wuhan, China. |
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Yuan, T. and Xu, T. (2010). Computer System Safety
Argument Schemes. In Proceedings of the
Second World congress on Software Engineering (WCSE 2010), vol. 2, pp.107-110, Wuhan, China. |
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Yuan, T., Schulze, J., Devereux, J. and Reed, C. (2008). Towards an Arguing Agents Competition:
Building on Argumento. In Proceedings
of IJCAI'2008 Workshop on Computational Models of Natural Argument,
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Yuan, T. and Schulze, J. (2008). Arg!Draw-An Argument Graphs Drawing Tool, Second International Conference on Computational
Models of Argument (Software Demos), |
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Yuan, T., Svansson, V., Moore, D. and Grierson, A. (2007). A Computer
Game for Abstract Argumentation. In Proceedings of IJCAI'2007
Workshop on Computational Models of Natural Argument, pp.62-68, |
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Yuan, T., Moore, D. and Grierson, A. (2005). Development and Evaluation of a System for
Educational Debate. In Proceedings of IJCAI'2005 Workshop on
Computational Models of Natural Argument, pp.12-17, |
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Yuan, T., Moore, D. and Grierson, A. (2004). An Assessment of Dialogue
Strategies for a Human Computer Debating System, via Computational Agents. In
Proceedings of ECAI'2004 Workshop on Computational Models of
Natural Argument, pp.17-24 |
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Human Computer Debate, a Computational
Dialectics Approach (2004). Poster in |
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Yuan, T., Moore, D. and Grierson, A. (2003). A Preliminary Evaluation
of the Usability of a Human Computer Debate Dialogue Model. HCI 2003,
Design for Society, pp.21-24 |
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Yuan, T., Moore, D. and Grierson, A. (2003). A Conversational Agents
System as a Test-Bed to Study Philosophical Model DC. In Proceedings
of IJCAI'2003 Workshop on Computational Models of Natural Argument, pp.45-50
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Yuan, T., (2003). Evaluation of
Philosophical Models in a Computational Environment. In Proceedings of the Second Annual Faculty
Research Student Conference (FRSC03), |
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Yuan, T., Moore, D. and Grierson, A. (2002). Educational
Human-Computer Debate, a Computational Dialectics Approach. In Proceedings
of ECAI'2002 Workshop on Computational Models of Natural Argument. pp.19-22
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Yuan, T., (2002). Dialogue Games
in Education. In Proceedings of the First Annual
Faculty Research Student Conference (FRSC02). |
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Thesis |
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Yuan, T. (2004). Human Computer
Debate, a Computational Dialectics Approach. |
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Textbook |
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Yuan T., Lin, X and Lei G. (2019).
Group Project Software Management: a Guide for University Students and
Instructors, Lulu Press, Inc |
