Xuan Zhao

According to our database, Xuan Zhao authored at least 11 papers between 2022 and 2024.

Collaborative distances:

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

2024

Policy advice and best practices on bias and fairness in AI.

José M. Álvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, Carlos Mougan, Ioanna Papageorgiou, Paula Reyero Lobo, Mayra Russo, Kristen M. Scott, Laura State, Xuan Zhao, Salvatore Ruggieri

Ethics Inf. Technol., June, 2024

Correction to: Studying bias in visual features through the lens of optimal transport.

Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi

Data Min. Knowl. Discov., January, 2024

Studying bias in visual features through the lens of optimal transport.

Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi

Data Min. Knowl. Discov., January, 2024

Policy Advice and Best Practices on Bias and Fairness in Artificial Intelligence.

José M. Álvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, Carlos Mougan, Ioanna Papageorgiou, Paula Reyero Lobo, Mayra Russo, Kristen M. Scott, Laura State, Xuan Zhao, Salvatore Ruggieri

Proceedings of the 3rd European Workshop on Algorithmic Fairness, 2024

Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule.

Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Adversarial Reweighting Guided by Wasserstein Distance to Achieve Demographic Parity.

Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation.

Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci

CoRR, 2023

Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space.

Xuan Zhao, Klaus Broelemann, Gjergji Kasneci

CoRR, 2023

Counterfactual Explanation for Regression via Disentanglement in Latent Space.

Xuan Zhao, Klaus Broelemann, Gjergji Kasneci

Proceedings of the IEEE International Conference on Data Mining, 2023

Causal Fairness-Guided Dataset Reweighting using Neural Networks.

Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation.

Alejandra Bringas Colmenarejo, Luca Nannini, Alisa Rieger, Kristen M. Scott, Xuan Zhao, Gourab K. Patro, Gjergji Kasneci, Katharina Kinder-Kurlanda

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022