Author

Muxuan Liang

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#machine learning May 2026

CASCADE Conformal Prediction: Uncertainty-Adaptive Prediction Intervals for Two-Stage Clinical Decision Support

This work introduces CASCADE (Calibrated Adaptive Scaling via Conformal And Distributional Estimation), a novel conformal prediction framework that propagates epistemic uncertainty from a screening classifier to adapt downstream predictions and achieves continuous risk adaptation.

Ricardo Diaz-Rincon, Mu-Xuan Liang, A. Ramirez-Zamora et al. · arXiv.org · 0 citations

Preprint Aug 2026

ATHENA: Knowledge-guided agentic neural architecture search for AutoFormer-based electronic health record modeling

This study proposes ATHENA (Agentic Transfer across Hospitals for EHR Neural Architecture Search), a knowledge-guided agentic NAS framework for Transformer-based EHR modeling that provides a practical approach for reducing manual architecture tuning in Transformer-based EHR modeling.

De-Yi Li, Qi Xu, Ling-Yao Li et al. · 0 citations

Open access Aug 2026

Bootstrap-enhanced regularization addressing multicollinearity and skewness in high-dimensional immunophenotyping data

The Bootstrap-Enhanced Regularization Method (BERM) is a robust approach for variable selection and coefficient estimation in complex biomedical datasets, achieving the highest overall balanced accuracy while maintaining competitive coefficient estimation performance across a range of simulated sparsity, noise, and dim...

Xiaoru Dong, Apoorva Goyal, Mu-Xuan Liang et al. · BMC Bioinformatics · 0 citations