Publications

Likelihood-based Nonparametric Receiver Operating Characteristic Curve Analysis in the Presence of Imperfect Reference Standard (with Yifan Sun, Peijun Sang, and Pengfei Li). (arxiv)

TabPFN: One Model to Rule Them All? (with Qiong Zhang, Yan Shuo Tan, and Pengfei Li). (arxiv)

Likelihood-based Nonparametric Receiver Operating Characteristic Curve Analysis in the Presence of Imperfect Reference Standard (with Yifan Sun, Peijun Sang, and Pengfei Li), (2025+), Statistics in Medicine.

Positive and Unlabeled Data: Model, Estimation, Inference, and Classification (With Siyan Liu, Chi-kuang Yeh, Xin Zhang, and Pengfei Li), (2025+), Journal of the American Statistical Association. (paper)

Efficient and Model-Agnostic Parameter Estimation Under Privacy-Preserving Post-randomization Data (With Jiwei Zhao), (2025+), Canadian Journal of Statistics. (paper)

Identification and Efficient Estimation in Regression Analysis with Response Missing Not At Random (With Donglin Zeng and Jiwei Zhao), (2025+), Statistica Sinica. (preprint)

Joint statistical inference for the area under the ROC curve and Youden Index under a Density Ratio Model (With Siyan Liu, Yukun Liu, and Pengfei Li) (2024), Mathematics.

ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift (With Hwanwoo Kim, Xin Zhang, Jiwei Zhao), (2024), International Conference on Learning Representations (ICLR).

ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models (With Xin Zhang and Jiwei Zhao) (2023), International Conference on Machine Learning (ICML).

Specifying Prior Distributions in Reliability Applications (With Colin Lewis-Beck, Jarad Nieme, and Bill Meeker), (2023), Applied Stochastic Models in Business and Industry. (with discussions)

Method to Compute Prediction Intervals: A Review and New Results (With Dan Nordman and Bill Meeker), (2022), Statistical Science.

Predicting the Number of Future Events (With Fanqi Meng, Dan Nordman, and Bill Meeker), (2022), Journal of the American Statistical Association.

Constructing Prediction Intervals Using the Likelihood Ratio Statistic (With Dan Nordman and Bill Meeker), (2022), INFORMS Journal on Data Science.

Prediction of Future Failures for Heterogeneous Reliability Field Data  (With Colin Lewis-Beck and Bill Meeker), (2021), Technometrics.

Using Degradation Models to Assess Pipeline Life (With Shiyao Liu and Bill Meeker), (2019), Applied Stochastic Models in Business and Industry.