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My research focuses on developing statistical methodology and theory for problems involving complex dependence, high dimensionality, and structured information. Current themes include robust inference under random design, high-dimensional mediation and causal inference, and statistical learning methods that incorporate external knowledge.
Peer-Reviewed Publications
Zifeng Zhang, Peng Ding, Wen Zhou, and Haonan Wang (2025). With Random Regressors, Least Squares Inference Is Robust to Correlated Errors with Unknown Correlation Structure. Biometrika, 112(1), asae054. [Journal] [arXiv]
Manuscripts
Zifeng Zhang, Peng Ding, Wen Zhou, Chenlu Shi (2026). A Duality of the F Distribution. [arXiv]
Zifeng Zhang, Lihua Lei, Peng Ding, and Wen Zhou. Two Routes to Validity: Why Nonstandard Standard Errors Are More Robust Than We Think. Manuscript available.
Zifeng Zhang, Fan Yang, Peng Ding, and Wen Zhou. High-Dimensional Mediation with Treatment–Mediator Interactions: Signal-Induced Ill-Conditioning and Inference. Manuscript available.
Zifeng Zhang, Lijun Wang, Zhiguang Huo, Peitao Wu, Yi Liu, Dacheng Liu, and Hongyu Zhao. Enhancing Prognostic Accuracy in Idiopathic Pulmonary Fibrosis: A Novel Momentum Feature for Longitudinal Biomarker Analysis. Manuscript available.
Research in Progress
Zifeng Zhang, Ye Tian, Yang Feng, and Hongyu Zhao. Embedding-Assisted Elastic Net.
Jessica Magid-Bernstein, Zifeng Zhang, Lauren Grychowski, Beatrice Hadiwidjaja, Gracey Sorensen, Will Remillard, Alice Lidman, David Vargas, Guido J. Falcone, Kevin N. Sheth, Emily J. Gilmore, Charles Matouk, Nils Petersen, Kyle Lyman, Lena O’Keefe, Jennifer Kim, Hongyu Zhao, Lauren H. Sansing Distinct Cytokine Trends Are Associated with Outcome after Aneurysmal Subarachnoid Hemorrhage.