Yajie Bao

About

Hello, I’m Yajie. I develop statistical methods for reliable uncertainty quantification and decision-making in modern machine learning.

I am an Assistant Professor in the Department of Statistics and Data Science at the School of Management, Fudan University.

Previously, I was a postdoctoral scholar at the School of Statistics and Data Science, Nankai University, advised by Prof. Changliang Zou. I received my Ph.D. in Statistics from Shanghai Jiao Tong University, under the supervision of Prof. Dong Han and Prof. Haojie Ren. From 2022 to 2024, I virtually visited Prof. Mingrui Liu’s lab at George Mason University. I earned my B.S. in Statistics from East China Normal University.

Research Interests

• Conformal prediction
• Data-driven decision
• Selective inference

Recent works

1. Conformalized Safe Feasible Sets in Uncertain Decision Systems

   Yajie Bao, Yinjie Min, Haojie Ren, and Changliang Zou

   arXiv · 2026

2. Shape-Adaptive Conditional Calibration for Conformal Prediction via Minimax Optimization

   Yajie Bao#, Chuchen Zhang#, Zhaojun Wang, Haojie Ren, and Changliang Zou

   arXiv · 2026

3. Conformal Robustness Control: A New Strategy for Robust Decision

   Yang Hu, Jieren Tan, Changliang Zou, Yajie Bao*, and Haojie Ren*

   ICLR Oral · 2026

4. Optimal Model Selection for Conformalized Robust Optimization

   Yajie Bao, Yang Hu, Haojie Ren, Peng Zhao, and Changliang Zou

   Journal of the American Statistical Association · Accepted

Academic Service

Reviewer for JASA, JRSSB, AOAS; ICML, NeurIPS, ICLR.