3 papers
stat.ML2026
Neural Supervised Clustering for Learning Individualized Treatment Rules with Many Treatments
Daixi Huang, Yixin Yuan, Yifan Dai +1
Learning an individualized treatment rule (ITR) with many treatments requires estimating treatment-specific effects from limited observations per arm. Treatments with similar condi…
stat.ME2026
Nonparametric Hypothesis Testing of High-dimensional Clustering With Application to Single-cell RNA Data
Yifan Dai, Di Wu, Yufeng Liu
Single-cell RNA sequencing studies routinely use clustering to define putative cell types and cell states, yet the observed separation may arise from sampling variability rather th…
cs.AI2024
PrecLLM: A Privacy-Preserving Framework for Efficient Clinical Annotation Extraction from Unstructured EHRs using Small-Scale LLMs
Yixiang Qu, Yifan Dai, Shilin Yu +14
Large Language Models (LLMs) have demonstrated remarkable proficiency in automated text annotation within natural language processing. However, their deployment in clinical setting…