Ph.D. in Statistics

Ph.D. in Statistics

Research Associate in Biostatistics at the University of Pennsylvania

Publications

Google Scholar * Equal contribution.

2026

  1. MOSAiC: Multi-site One-Shot Aggregation of Compressed Risk Functions
    Yong Chen, Yiwen Lu, Jingmei Qiu, Huiyuan Wang, and Yudong Wang (authors listed in alphabetical order)
    Discussion Paper Journal of the American Statistical Association: Applications and Case Studies, 1–26.
  2. Collaborative Indirect Treatment Comparisons with Multiple Distributed Single-Arm Trials
    Yuru Zhu, Huiyuan Wang, Haitao Chu, Yumou Qiu, and Yong Chen
    Revise and Resubmit Journal of the American Statistical Association: Theory and Methods. 2026+
  3. Surrogate-Powered Inference: Regularization and Adaptivity
    Jianmin Chen, Huiyuan Wang, Thomas Lumley, Xiaowu Dai, and Yong Chen
    Moderate Revision Journal of the American Statistical Association: Applications and Case Studies. 2026+
  4. Robust Detection of Watermarks for Large Language Models under Human Edits
    Xiang Li, Feng Ruan, Huiyuan Wang, Qi Long, and Weijie J. Su
    Journal of the Royal Statistical Society Series B: Statistical Methodology 88(2), 491–515.

2025

  1. Negative-Control-Calibrated Difference-in-Difference Analyses: Addressing Unmeasured Confounding in RWD with Application to Racial/Ethnic Differences
    Dazheng Zhang*, Bingyu Zhang*, Huiyuan Wang*, Yiwen Lu, Charles J. Wolock, Wenjie Hu, Linbo Wang, George Hripcsak, and Yong Chen
    npj Digital Medicine 8(1), 452.
  2. A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules
    Xiang Li, Feng Ruan, Huiyuan Wang, Qi Long, and Weijie J. Su
    The Annals of Statistics 53(1), 322–351.
  3. CARE: Large Precision Matrix Estimation for Compositional Data
    Shucong Zhang, Huiyuan Wang, and Wei Lin
    Journal of the American Statistical Association: Theory and Methods 120(549), 305–317.

2024

  1. Prometheus: Out-of-Distribution Fluid Dynamics Modeling with Disentangled Graph ODE
    Hao Wu, Huiyuan Wang, Kun Wang, Weiyan Wang, Yangyu Tao, Chong Chen, Xian-Sheng Hua, and Xiao Luo
    Proceedings of the 41st International Conference on Machine Learning.
  2. A Statistical Theory of Regularization-Based Continual Learning
    Xuyang Zhao, Huiyuan Wang, Weiran Huang, and Wei Lin
    Proceedings of the 41st International Conference on Machine Learning, 61021–61039.

2023

  1. The Aggregation–Heterogeneity Trade-off in Federated Learning
    Xuyang Zhao, Huiyuan Wang, and Wei Lin
    Proceedings of the 36th Annual Conference on Learning Theory, 5478–5502.
  2. Difference-in-Differences Meets Tree-Based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
    Caizhi Tang*, Huiyuan Wang*, Xinyu Li, Qing Cui, Longfei Li, and Jun Zhou
    Proceedings of the 40th International Conference on Machine Learning, 33792–33803.

2022

  1. Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
    Caizhi Tang*, Huiyuan Wang*, Xinyu Li, Qing Cui, Ya-Lin Zhang, Feng Zhu, Longfei Li, Jun Zhou, and Linbo Jiang
    Advances in Neural Information Processing Systems 35, 5628–5640.