Research & papers

I work on conformal prediction and uncertainty quantification with missing data. I am also exploring tabular foundation models as part of my Ph.D. research, alongside my interests in robust uncertainty quantification and diffusion models.

Papers

Beyond Imputation: Mask-Adaptive Conformal Prediction via Tree Embeddings on General Missing Data Mechanisms

Jiarong Fan, Juhyun Park, Thi Phuong Thuy Vo, Nicolas Brunel

NeurIPS 2026 · Accepted (poster)

Paper: Beyond Imputation: Mask-Adaptive Conformal Prediction via Tree Embeddings on General Missing Data Mechanisms
Code: Beyond Imputation: Mask-Adaptive Conformal Prediction via Tree Embeddings on General Missing Data Mechanisms

Mask-Conditional Conformal Prediction: Valid Uncertainty for All Missing Data Mechanisms

Jiarong Fan, Juhyun Park, Thi Phuong Thuy Vo, Nicolas Brunel

AISTATS 2026

Manuscripts under review

Streamflow Forecasting and Water Allocation under Uncertainty

Jiarong Fan, Juhyun Park, Thi Phuong Thuy Vo

Under review · 2026

Conformal Prediction for Diffusion Paths

Jiarong Fan, Juhyun Park, Thi Phuong Thuy Vo, Nicolas Brunel

Under review · 2026

Plug-In Classification of Drift Functions in Diffusion Processes Using Neural Networks

Yuzhen Zhao, Jiarong Fan, Yating Liu

Under review · 2026

arXiv: Plug-In Classification of Drift Functions in Diffusion Processes Using Neural Networks

For talks and posters related to my work, see presentations ↗.