Hongni Wang — accepted AI-conference papers

2025

Advancing Fairness in Precision Medicine: A Universal Framework for Optimal Treatment Estimation in Censored Data

Hongni Wang, Junxi Zhang, Na Li, Linglong Kong, Bei Jiang, Xiaodong Yan

AISTATS 2025poster

In healthcare and precision medicine, estimating optimal treatment regimes for right-censored data while ensuring fairness across ethnic subgroups is crucial but remains underexplored. The problem presents two key challenges: measuring heterogeneous treatment effects (HTE) under fairness constraints…

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2023

Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data

Hongni Wang, Jingxin Yan, Xiaodong Yan

AAAI 2023technical

Herein, we propose a Spearman rank correlation-based screening procedure for ultrahigh-dimensional data with censored response cases. The proposed method is model-free without specifying any regression forms of predictors or response variables and is robust under the unknown monotone transformations…

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