Author

Zhen-Peng Chen

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Open access Sep 2026

Software Fairness Analysis and Repair via Causal Model-Guided Data Mutation

This work introduces Fairabel, a novel approach that repairs fairness by mutating the training data under the guidance of causal models and multi-objective optimization, and shows that Fairabel reduces ML software bias by 50% on average across three fairness metrics, outperforming the state-of-the-art with a 9% relativ...

Ying Xiao, Zhen-Peng Chen, Yepang Liu et al. · ACM Transactions on Software... · 0 citations

Open access Jul 2026

Mitigating medical bias in large language models by prompt engineering: an empirical study of effectiveness and trade-offs.

Five widely used prompting strategies across five influential LLMs in the latest medical bias benchmark reveal substantial heterogeneity in both effectiveness and overhead across models, with no strategy proving universally effective and some even exacerbating bias.

Ying Xiao, Zhenpeng Chen, Jie M. Zhang · Philosophical transactions.... · 1 citation