We stand with Ukraine  

Xiang Yin

Orcid: 0000-0002-6096-9943

Affiliations:
  • Imperial College London, UK


According to our database1, Xiang Yin authored at least 13 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Contribution functions for quantitative bipolar argumentation graphs: A principle-based analysis.
[BibTeX]
[DOI]
Timotheus Kampik
,
Nico Potyka
,
Xiang Yin
,
Kristijonas Cyras
,
Francesca Toni
Int. J. Approx. Reason., 2024

CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks (Technical Report).
[BibTeX]
[DOI]
Xiang Yin
,
Nico Potyka
,
Francesca Toni
CoRR, 2024

Contestable AI needs Computational Argumentation.
[BibTeX]
[DOI]
Francesco Leofante
,
Hamed Ayoobi
,
Adam Dejl
,
Gabriel Freedman
,
Deniz Gorur
,
Junqi Jiang
,
Guilherme Paulino-Passos
,
Antonio Rago
,
Anna Rapberger
,
Fabrizio Russo
,
Xiang Yin
,
Dekai Zhang
,
Francesca Toni
CoRR, 2024

Argumentative Large Language Models for Explainable and Contestable Decision-Making.
[BibTeX]
[DOI]
Gabriel Freedman
,
Adam Dejl
,
Deniz Gorur
,
Xiang Yin
,
Antonio Rago
,
Francesca Toni
CoRR, 2024

Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports (Technical Report).
[BibTeX]
[DOI]
Xiang Yin
,
Nico Potyka
,
Francesca Toni
CoRR, 2024

Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports.
[BibTeX]
[DOI]
Xiang Yin
,
Nico Potyka
,
Francesca Toni
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks.
[BibTeX]
[DOI]
Xiang Yin
,
Nico Potyka
,
Francesca Toni
Proceedings of the 2nd International Workshop on Argumentation for eXplainable AI co-located with the 10th International Conference on Computational Models of Argument (COMMA 2024), 2024

2023
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report).
[BibTeX]
[DOI]
Xiang Yin
,
Nico Potyka
,
Francesca Toni
CoRR, 2023

Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks.
[BibTeX]
[DOI]
Xiang Yin
,
Nico Potyka
,
Francesca Toni
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Explaining Random Forests Using Bipolar Argumentation and Markov Networks.
[BibTeX]
[DOI]
Nico Potyka
,
Xiang Yin
,
Francesca Toni
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Explaining Random Forests using Bipolar Argumentation and Markov Networks (Technical Report).
[BibTeX]
[DOI]
Nico Potyka
,
Xiang Yin
,
Francesca Toni
CoRR, 2022

Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data.
[BibTeX]
[DOI]
Nico Potyka
,
Xiang Yin
,
Francesca Toni
CoRR, 2022

On the Tradeoff Between Correctness and Completeness in Argumentative Explainable AI.
[BibTeX]
[DOI]
Nico Potyka
,
Xiang Yin
,
Francesca Toni
Proceedings of the 1st International Workshop on Argumentation for eXplainable AI co-located with 9th International Conference on Computational Models of Argument (COMMA 2022), 2022


  Loading...