Xuanxiang Huang

According to our database, Xuanxiang Huang authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

On computing probabilistic abductive explanations.

Yacine Izza, Xuanxiang Huang, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva

Int. J. Approx. Reason., August, 2023

Refutation of Shapley Values for XAI - Additional Evidence.

Xuanxiang Huang, João Marques-Silva

CoRR, 2023

A Refutation of Shapley Values for Explainability.

Xuanxiang Huang, João Marques-Silva

CoRR, 2023

Explainability is NOT a Game.

João Marques-Silva, Xuanxiang Huang

CoRR, 2023

From Robustness to Explainability and Back Again.

Xuanxiang Huang, João Marques-Silva

CoRR, 2023

The Inadequacy of Shapley Values for Explainability.

Xuanxiang Huang, João Marques-Silva

CoRR, 2023

Feature Necessity & Relevancy in ML Classifier Explanations.

Xuanxiang Huang, Martin C. Cooper, António Morgado, Jordi Planes, João Marques-Silva

Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2023

From Decision Trees to Explained Decision Sets.

Xuanxiang Huang, João Marques-Silva

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Solving Explainability Queries with Quantification: The Case of Feature Relevancy.

Xuanxiang Huang, Yacine Izza, João Marques-Silva

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

On Deciding Feature Membership in Explanations of SDD & Related Classifiers.

Xuanxiang Huang, João Marques-Silva

CoRR, 2022

Tractable Explanations for d-DNNF Classifiers.

Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Efficient Explanations for Knowledge Compilation Languages.

Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva

CoRR, 2021

On Efficiently Explaining Graph-Based Classifiers.

Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, João Marques-Silva

Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021

2020

Dynamic Minimization of Bi-Kronecker Functional Decision Diagrams.

Xuanxiang Huang, Haipeng Che, Liangda Fang, Qingliang Chen, Quanlong Guan, Yuhui Deng, Kaile Su

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019

Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions.

Xuanxiang Huang, Kehang Fang, Liangda Fang, Qingliang Chen, Zhao-Rong Lai, Linfeng Wei

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019