Dekai Zhang

According to our database, Dekai Zhang authored at least 7 papers between 2022 and 2025.

Collaborative distances:

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

2025

Clustered Federated Learning via Embedding Distributions.

Dekai Zhang, Matthew Williams, Francesca Toni

CoRR, June, 2025

XAI-Units: Benchmarking Explainability Methods with Unit Tests.

Jun Rui Lee, Sadegh Emami, Michael David Hollins, Timothy C. H. Wong, Carlos Ignacio Villalobos Sánchez, Francesca Toni, Dekai Zhang, Adam Dejl

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

Hidden Conflicts in Neural Networks and their Implications for Explainability.

Adam Dejl, Dekai Zhang, Hamed Ayoobi, Matthew Williams, Francesca Toni

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

Contestable AI Needs Computational Argumentation.

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

Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, 2024

Targeted Activation Penalties Help CNNs Ignore Spurious Signals.

Dekai Zhang, Matt Williams, Francesca Toni

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Targeted Activation Penalties Help CNNs Ignore Spurious Signals.

Dekai Zhang, Matthew Williams, Francesca Toni

CoRR, 2023

2022

A Federated Cox Model with Non-Proportional Hazards.

Dekai Zhang, Francesca Toni, Matthew Williams

CoRR, 2022