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ORCIDXiang Yin 0007
Person information
- affiliation: Imperial College London, UK
Other persons with the same name
- Xiang Yin — disambiguation page
- Xiang Yin 0001 — University of Virginia, Department of Computer Science, Charlottesville, VA, USA
- Xiang Yin 0002
![[0000-0003-0741-4831]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0741-4831")
— University of Science and Technology of China, National Engineering Laboratory for Speech and Language Information Processing, Hefei, China - Xiang Yin 0003 — Shanghai Jiao Tong University, Department of Automation, China (and 1 more)
- Xiang Yin 0004 — Beihang University, School of Computer Science and Engineering, Beijing, China
- Xiang Yin 0005 — Nanjing University of Aeronautics and Astronautics, China
- Xiang Yin 0006 — ByteDance AI Lab, China
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2020 – today
- 2024
[j1]Timotheus Kampik, Nico Potyka, Xiang Yin, Kristijonas Cyras, Francesca Toni:
Contribution functions for quantitative bipolar argumentation graphs: A principle-based analysis. Int. J. Approx. Reason. 173: 109255 (2024)- [c7]Xiang Yin, Nico Potyka, Francesca Toni:
Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks. ArgXAI@COMMA 2024: 56-66 - [c6]Xiang Yin, Nico Potyka, Francesca Toni:
Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports. IJCAI 2024: 3622-3630 - [c5]Xiang Yin, Nico Potyka, Francesca Toni:
CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks. KR 2024 - [c4]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:
Contestable AI Needs Computational Argumentation. KR 2024 - [i9]Timotheus Kampik, Nico Potyka, Xiang Yin, Kristijonas Cyras, Francesca Toni:
Contribution Functions for Quantitative Bipolar Argumentation Graphs: A Principle-based Analysis. CoRR abs/2401.08879 (2024) - [i8]Xiang Yin, Nico Potyka, Francesca Toni:
Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports (Technical Report). CoRR abs/2404.14304 (2024) - [i7]Gabriel Freedman, Adam Dejl, Deniz Gorur, Xiang Yin, Antonio Rago, Francesca Toni:
Argumentative Large Language Models for Explainable and Contestable Decision-Making. CoRR abs/2405.02079 (2024) - [i6]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:
Contestable AI needs Computational Argumentation. CoRR abs/2405.10729 (2024) - [i5]Xiang Yin, Nico Potyka, Francesca Toni:
CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks (Technical Report). CoRR abs/2407.08497 (2024) - [i4]Xiang Yin, Nico Potyka, Francesca Toni:
Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks. CoRR abs/2409.05831 (2024) - 2023
- [c3]Nico Potyka, Xiang Yin, Francesca Toni:
Explaining Random Forests Using Bipolar Argumentation and Markov Networks. AAAI 2023: 9453-9460 - [c2]Xiang Yin, Nico Potyka, Francesca Toni:
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks. ECAI 2023: 2898-2905 - [i3]Xiang Yin, Nico Potyka, Francesca Toni:
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report). CoRR abs/2307.13582 (2023) - 2022
- [c1]Nico Potyka, Xiang Yin, Francesca Toni:
On the Tradeoff Between Correctness and Completeness in Argumentative Explainable AI. ArgXAI@COMMA 2022 - [i2]Nico Potyka, Xiang Yin, Francesca Toni:
Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data. CoRR abs/2205.09620 (2022) - [i1]Nico Potyka, Xiang Yin, Francesca Toni:
Explaining Random Forests using Bipolar Argumentation and Markov Networks (Technical Report). CoRR abs/2211.11699 (2022)
Coauthor Index
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