Publications

publications by categories in reversed chronological order.

Preprint

  1. Preprint
    Distributional Information Embedding: A Framework for Multi-bit Watermarking
    Haiyun He, Yepeng Liu, Ziqiao Wang, Yongyi Mao, and Yuheng Bu
    Submitted, Jan 2025
    arXiv
  2. Preprint
    Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach
    Haiyun He*, Yepeng Liu*, Ziqiao Wang, Yongyi Mao, and Yuheng Bu
    Submitted, Oct 2024
    arXiv

Journal

  1. Journal
    Information-Theoretic Generalization Bounds for Deep Neural Networks
    Haiyun He, and Ziv Goldfeld
    To appear in IEEE Transactions on Information Theory, 2025
    arXiv
  2. Journal
    Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning
    Haiyun He, Hanshu Yan, and Vincent Y. F. Tan
    Journal of Machine Learning Research, Aug 2022
    arXiv HTML
  3. Journal
    Optimal Change-Point Detection with Training Sequences in the Large and Moderate Deviations Regimes
    Haiyun He, Qiaosheng (Eric) Zhang, and Vincent Y. F. Tan
    IEEE Transactions on Information Theory, Oct 2021
    arXiv HTML
  4. Journal
    Distributed Detection with Empirically Observed Statistics
    Haiyun He, Lin Zhou, and Vincent Y. F. Tan
    IEEE Transactions on Information Theory, Jul 2020
    arXiv HTML
  5. Journal
    Joint altitude and beamwidth optimization for UAV-enabled multiuser communications
    Haiyun He, Shuowen Zhang, Yong Zeng, and Rui Zhang
    IEEE Communications Letters, Feb 2018
    arXiv HTML

CS Conf.

  1. CS Conf.
    Information-Theoretic Generalization Bounds for Deep Neural Networks
    Haiyun He, Christina Lee Yu, and Ziv Goldfeld
    In InfoCog Workshop @ NeurIPS  (*Contributed Talk*), Dec 2023
    HTML Slides
  2. CS Conf.
    How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
    Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel Rodrigues, and Vincent Y. F. Tan
    In International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
    arXiv HTML

IT Conf.

  1. IT Conf.
    Hierarchical Generalization Bounds for Deep Neural Networks
    Haiyun He, Christina Lee Yu, and Ziv Goldfeld
    In IEEE International Symposium on Information Theory (ISIT), 2024
    HTML
  2. IT Conf.
    Optimal Resolution of Change-Point Detection with Empirically Observed Statistics and Erasures
    Haiyun He, Qiaosheng (Eric) Zhang, and Vincent Y. F. Tan
    In International Symposium on Information Theory and Its Applications (ISITA), 2020
    HTML
  3. IT Conf.
    Distributed Detection with Empirically Observed Statistics
    Haiyun He, Lin Zhou, and Vincent Y. F. Tan
    In IEEE Information Theory Workshop (ITW), 2019
    HTML