Research

You may also find my articles on my Google Scholar profile. (* represents equal contribution)

  1. preprint
    OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making
    Hanzhao Wang, Kalyan Talluri, and Xiaocheng Li
    2024
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  2. preprint
    Towards Better Statistical Understanding of Watermarking LLMs
    Zhongze Cai*, Shang Liu*, Hanzhao Wang*, Huaiyang Zhong, and Xiaocheng Li
    2024
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  3. preprint
    Transformer Choice Net: A Transformer Neural Network for Choice Prediction
    Hanzhao Wang, Xiaocheng Li, and Kalyan Talluri
    2023
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  4. ICLR 2024
    Learning to Make Adherence-Aware Advice
    (α-β) Guanting Chen, Xiaocheng Li, Chunlin Sun, and Hanzhao Wang
    The Twelfth International Conference on Learning Representations (ICLR 2024).
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  5. AISTATS 2024
    When No-Rejection Learning is Optimal for Regression with Rejection
    (α-β) Xiaocheng Li, Shang Liu, Chunlin Sun, and Hanzhao Wang
    The 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024).
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  6. preprint
    A Neural Network Based Choice Model for Assortment Optimization
    Hanzhao Wang, Zhongze Cai, Xiaocheng Li, and Kalyan Talluri
    Invited for resubmission at Marketing Science. 2023
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  7. preprint
    Learning to Sell a Focal-ancillary Combination
    Hanzhao Wang, Xiaocheng Li, and Kalyan Talluri
    Under review. 2022
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  8. preprint
    On Dynamic Pricing with Covariates
    Hanzhao Wang, Kalyan Talluri, and Xiaocheng Li
    Accepted at Operations Research. 2021
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