Publications

* Author names are ordered alphabetically

  1. AI & OR
    E-GEO: A Testbed for Generative Engine Optimization in E-Commerce*
    Puneet S. Bagga, Vivek F. Farias, Tamar Korkotashvili, and 2 more authors
    arXiv:2511.20867, 2025
  2. AI & OR
    Performance of LLMs on Stochastic Modeling Operations Research Problems: From Theory to Practice*
    Akshit Kumar, Tianyi Peng, Yuhang Wu, and 1 more author
    arXiv:2506.23924, 2025
    Accepted at Winter Simulation Conference (WSC), 2025
  3. Digital Twin
    How Many Human Survey Respondents is a Large Language Model Worth? An Uncertainty Quantification Perspective
    Chengpiao Huang*, Yuhang Wu*, and Kaizheng Wang
    arXiv:2502.17773, 2025
    Short version "Uncertainty Quantification for LLM-Based Survey Simulations" appeared at International Conference on Machine Learning (ICML), 2025
  4. Discrete-time Simulated Annealing: A Convergence Analysis via the Eyring-Kramers Law*
    Wenpin Tang, Yuhang Wu, and Xun Yu Zhou
    Numerical Algebra, Control and Optimization, 2024
  5. Adaptive Data Fusion for Multi-task Non-smooth Optimization*
    Henry Lam, Kaizheng Wang, Yuhang Wu, and 1 more author
    arXiv:2210.12334, 2022