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
-
Minimum Volume Optimal Transport for Multivariate Conformal Prediction
arXiv · 2026
-
FissionGuard: Testing Local Watermark Proportions with FDR Control
arXiv · 2026
-
Interval Localization for Multiple Change-points with Error Rate Control
arXiv · 2026
-
Conformalized Safe Feasible Sets in Uncertain Decision Systems
arXiv · 2026
-
Shape-Adaptive Conditional Calibration for Conformal Prediction via Minimax Optimization
arXiv · 2026
Academic Service
Reviewer for JASA, JRSSB, AOAS; ICML, NeurIPS, ICLR.