3 papers
cs.LG2026
Measuring Model-Induced Discrimination via Efficient Fairness Approximation
Yijun Bian, Yujie Luo
Providing various machine learning (ML) applications in the real world, concerns about discrimination hidden in ML models are growing, particularly in high-stakes domains. Existing…
cs.CV2026
ClinReadNet: A clinical reading-inspired network for low-dose abdominal CT image quality assessment
Xianye Xiao, Yulong Zou, Yujie Luo +6
In abdominal CT imaging, developing a low-dose, no-reference image quality assessment (No-reference IQA) model that mimics doctors' reading habits for evaluating CT image quality h…
cs.LG2025
Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes
Yijun Bian, Yujie Luo, Ping Xu
Discrimination mitigation within machine learning (ML) models could be complicated because multiple factors may be interwoven hierarchically and historically. Yet few existing fair…