He, Haiyun

6 publications

ICLRW 2025 Distributional Information Embedding: A Framework for Multi-Bit Watermarking Haiyun He, Yepeng Liu, Ziqiao Wang, Yongyi Mao, Yuheng Bu
NeurIPS 2025 Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach Haiyun He, Yepeng Liu, Ziqiao Wang, Yongyi Mao, Yuheng Bu
ICLRW 2025 Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach Haiyun He, Yepeng Liu, Ziqiao Wang, Yongyi Mao, Yuheng Bu
AISTATS 2023 How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel Rodrigues, Vincent Y. F. Tan
NeurIPSW 2023 Information-Theoretic Generalization Bounds for Deep Neural Networks Haiyun He, Christina Yu, Ziv Goldfeld
JMLR 2022 Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning Haiyun He, Hanshu Yan, Vincent Y. F. Tan