Research interests

• Distribution-free inference
• Selective inference
• Data-driven decision making
• Causal inference
• Survival analysis

Publications and Preprints

• Boosting e-BH via conditional calibration
  Junu Lee and Zhimei Ren

• Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage
  Ying Jin* and Zhimei Ren*

• UPLC-MS/MS Analysis of Urinary Oligosaccharides and Glycoamino Acids for the Diagnosis of Mucopolysaccharidosis and Glycoproteinosis
  Parith Wongkittichote, Se Hyun Cho, Artis Miller, Kaitlyn King, Zackary M. Herbst, Zhimei Ren, Michael H. Gelb, and Xinying Hong
  Clinical Chemistry, 2024+

• Not all distributional shifts are equal: Fine-grained robust conformal inference
  [reproduction code]
  Jiahao Ai and Zhimei Ren

• Simultaneous activity and attenuation estimation in TOF-PET with TV-constrained nonconvex optimization
  [reproduction code]
  Zhimei Ren, Emil Y. Sidky, Rina Foygel Barber, Chien-Min Kao, and Xiaochuan Pan
  IEEE Transactions on Medical Imaging, 2024+

• Iterative approximate cross-validation
  Yuetian Luo, Zhimei Ren, and Rina Foygel Barber
  International Conference on Machine Learning (ICML), 2023

• Policy learning “without” overlap: Pessimism and generalized empirical Bernstein’s inequality
  Ying Jin*, Zhimei Ren*, Zhuoran Yang, and Zhaoran Wang

• Conformalized survival analysis with adaptive cutoffs
  Yu Gui*, Rohan Hore*, Zhimei Ren*, and Rina Foygel Barber
  Biometrika, 2023+

• Derandomized knockoffs: leveraging e-values for false discovery rate control
  [reproduction code]
  Zhimei Ren and Rina Foygel Barber
  Journal of the Royal Statistical Society: Series B (JRSS-B), 2024

• Sensitivity analysis under the f-sensitivity models: definition, estimation and inference
  Ying Jin*, Zhimei Ren*, and Zhengyuan Zhou
  Student Paper Award at ICSA Applied Statistics Symposium (Ying Jin, 2022)
  Minor revision requested at Operations Research

• Sensitivity analysis of individual treatment effects: a robust conformal inference approach
  [software] [reproduction code] [website] [talk]
  Ying Jin*, Zhimei Ren*, and Emmanuel Candès
  Proceedings of the National Academy of Sciences, 2023
  Runner up for Tom Ten Have Award at American Causal Inference Conference (ACIC) 2022 (presented by Ying Jin)

• Examining the impact of sex differences and the COVID-19 pandemic on health and health care: findings from a national cross-sectional study
  [reprodution code]
  Jiancheng Ye and Zhimei Ren
  JAMIA Open, 2022

• Transfer learning in genome-wide association studies with knockoffs
  [reproduction code] [website]
  Shuangning Li*, Zhimei Ren*, Chiara Sabatti*, and Matteo Sesia*
  Sankhya B, 2022

• Policy learning with adaptively collected data
  [reproduction code]
  Ruohan Zhan*, Zhimei Ren*, Susan Athey, and Zhengyuan Zhou
  Management Science, 2023+

• Conformalized survival analysis
  [software] [reproduction code] [website]
  Emmanuel Candès*, Lihua Lei*, and Zhimei Ren*
  Journal of the Royal Statistical Society: Series B (JRSS-B), 2023

• Online Multi-armed bandits with adaptive inference
  Maria Dimakopoulou, Zhimei Ren, and Zhengyuan Zhou
  Neural Information Processing Systems (NeurIPS), 2021

• Derandomizing knockoffs
  [software] [reproduction code] [website]
  Zhimei Ren, Yuting Wei, and Emmanuel Candès
  Journal of American Statistical Association, 2023

• Dynamic batch learning in high-dimensional sparse linear contextual bandits
  Zhimei Ren and Zhengyuan Zhou
  Management Science, 2023+
  Finalist, INFORMS Service Science Section 2021 Best Cluster Paper Award

• Batched learning in generalized linear contextual bandits with general decision sets
  Zhimei Ren, Zhengyuan Zhou, and Jayant R. Kalagnanam
  IEEE Control System Letters (L-CSS), 2021

• Knockoffs with side information
  [software] [reproduction code] [website]
  Zhimei Ren and Emmanuel Candès
  Annals of Applied Statistics, 2023

• Batched multi-armed bandits problem
  Zijun Gao*, Yanjun Han*, Zhimei Ren*, and Zhengqing Zhou*
  Neural Information Processing Systems (NeurIPS), oral presentation, 2019

• Replication and generalization in applied neuroimaging
  Garikoitz Lerma-Usabiaga, Pratik Mukherjee, Zhimei Ren, Michael L.Perry, and Brian A.Wandell
  NeuroImage, 2019

(* = alphabetical ordering or equal contribution)