Research

  1. preprint
    Towards Better Statistical Understanding of Watermarking LLMs
    Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong, and Xiaocheng Li
    2024
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  2. preprint
    Transformer Choice Net: A Transformer Neural Network for Choice Prediction
    Hanzhao Wang, Xiaocheng Li, and Kalyan Talluri
    2023
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  3. ICLR 2024
    Learning to Make Adherence-Aware Advice
    Guanting Chen, Xiaocheng Li, Chunlin Sun, and Hanzhao Wang
    ICLR 2024.
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  4. AISTATS 2024
    When No-Rejection Learning is Optimal for Regression with Rejection
    Xiaocheng Li, Shang Liu, Chunlin Sun, and Hanzhao Wang
    AISTATS 2024.
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  5. preprint
    A Neural Network Based Choice Model for Assortment Optimization
    Hanzhao Wang, Zhongze Cai, Xiaocheng Li, and Kalyan Talluri
    2023
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  6. preprint
    Learning to Sell a Focal-ancillary Combination
    Hanzhao Wang, Xiaocheng Li, and Kalyan Talluri
    Major revision at Production and Operations Management. 2022
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  7. preprint
    On Dynamic Pricing with Covariates
    Hanzhao Wang, Kalyan Talluri, and Xiaocheng Li
    Major revision at Operations Research (technical note). 2021
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