Xuanxiang Huang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Canonical Representation

Linear Classifiers

Theoretical Underpinnings

Decision Diagrams

Top Venues

Int. J. Approx. Reason.

Publications

Olivier Letoffe, Xuanxiang Huang, Nicholas Asher, João Marques-Silva
From SHAP Scores to Feature Importance Scores. CoRR (2024)
Olivier Letoffe, Xuanxiang Huang, João Marques-Silva
On Correcting SHAP Scores. CoRR (2024)
Yacine Izza, Xuanxiang Huang, António Morgado, Jordi Planes, Alexey Ignatiev, João Marques-Silva
Distance-Restricted Explanations: Theoretical Underpinnings & Efficient Implementation. CoRR (2024)
Xuanxiang Huang, João Marques-Silva
On the failings of Shapley values for explainability. Int. J. Approx. Reason. 171 (2024)
Joao Marques-Silva, Xuanxiang Huang
a Game. Commun. ACM 67 (7) (2024)
Xuanxiang Huang, João Marques-Silva
From Decision Trees to Explained Decision Sets. ECAI (2023)
Xuanxiang Huang, João Marques-Silva
From Robustness to Explainability and Back Again. CoRR (2023)
João Marques-Silva, Xuanxiang Huang
Explainability is NOT a Game. CoRR (2023)
Xuanxiang Huang, João Marques-Silva
A Refutation of Shapley Values for Explainability. CoRR (2023)
Xuanxiang Huang, Yacine Izza, João Marques-Silva
Solving Explainability Queries with Quantification: The Case of Feature Relevancy. AAAI (2023)
Yacine Izza, Xuanxiang Huang, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva
On computing probabilistic abductive explanations. Int. J. Approx. Reason. 159 (2023)
Xuanxiang Huang, Martin C. Cooper, António Morgado, Jordi Planes, João Marques-Silva
Feature Necessity & Relevancy in ML Classifier Explanations. TACAS (1) (2023)
Xuanxiang Huang, João Marques-Silva
Refutation of Shapley Values for XAI - Additional Evidence. CoRR (2023)
Xuanxiang Huang, João Marques-Silva
The Inadequacy of Shapley Values for Explainability. CoRR (2023)
Xuanxiang Huang, Martin C. Cooper, António Morgado, Jordi Planes, João Marques-Silva
Feature Necessity & Relevancy in ML Classifier Explanations. CoRR (2022)
Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva
Tractable Explanations for d-DNNF Classifiers. AAAI (2022)
Yacine Izza, Xuanxiang Huang, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva
On Computing Probabilistic Abductive Explanations. CoRR (2022)
Xuanxiang Huang, João Marques-Silva
On Deciding Feature Membership in Explanations of SDD & Related Classifiers. CoRR (2022)
Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva
Efficient Explanations for Knowledge Compilation Languages. CoRR (2021)
Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, João Marques-Silva
On Efficiently Explaining Graph-Based Classifiers. KR (2021)
Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, João Marques-Silva
On Efficiently Explaining Graph-Based Classifiers. CoRR (2021)
Xuanxiang Huang, Haipeng Che, Liangda Fang, Qingliang Chen, Quanlong Guan, Yuhui Deng, Kaile Su
Dynamic Minimization of Bi-Kronecker Functional Decision Diagrams. ICCAD (2020)
Xuanxiang Huang, Kehang Fang, Liangda Fang, Qingliang Chen, Zhao-Rong Lai, Linfeng Wei
Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions. AAAI (2019)