Publications

publications by categories in reversed chronological order.

Preprint

    Journal

    1. Journal
      Information-Theoretic Generalization Bounds for Deep Neural Networks
      Haiyun He, and Ziv Goldfeld
      IEEE Transactions on Information Theory, May 2025
      arXiv HTML
    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.
      Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach
      Haiyun He*, Yepeng Liu*, Ziqiao Wang, Yongyi Mao, and Yuheng Bu
      NeurIPS, Dec 2025 (Presented at 1st Workshop on GenAI Watermarking (WMARK@ICLR))
      arXiv
    2. 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
    3. 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.
      Distributional Information Embedding: A Framework for Multi-bit Watermarking
      Haiyun He, Yepeng Liu, Ziqiao Wang, Yongyi Mao, and Yuheng Bu
      Asia Pacific Workshop on Data Science and Information Theory (APWDSIT), Oct 2025 (Presented at 1st Workshop on GenAI Watermarking (WMARK@ICLR))
      arXiv
    2. 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), Oct 2024
      HTML
    3. 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), Oct 2020
      HTML
    4. IT Conf.
      Distributed Detection with Empirically Observed Statistics
      Haiyun He, Lin Zhou, and Vincent Y. F. Tan
      In IEEE Information Theory Workshop (ITW), Oct 2019
      HTML