Publications

Peer-reviewed papers, preprints, and workshop papers on trustworthy AI, statistical learning, and optimization.

2026

  1. Detecting Post-generation Edits to Watermarked LLM Outputs via Error-Correcting Codes
    Zewei Deng, Muhammad Siddeek, Liyan Xie, and 4 more authors
    In Findings of the Association for Computational Linguistics: EMNLP 2026, Oct 2026
  2. Anchor-ECC: Local Integrity Checking for Watermarked LLM Outputs via Error-Correcting Codes
    Zewei Deng, Muhammad Siddeek, Liyan Xie, and 4 more authors
    2026
    arXiv:2609.38722; submitted to TMLR
  3. Watermarkability: Measuring and Improving Language-Model Compatibility with Logit-Based Watermarks
    Zewei Deng, Mohamed Seif, and Liyan Xie
    2026
    arXiv:2610.22810
  4. Learning to Test: Physics-Informed Representation for Dynamical Instability Detection
    Minxing Zheng, Zewei Deng, Liyan Xie, and 1 more author
    arXiv preprint arXiv:2604.10967, 2026
  5. HawkesLLM: Semantic Uncertainty Propagation in Agentic Text Simulation
    Zewei Deng, Tinghan Ye, and Liyan Xie
    In ICML Workshop on Statistical Frameworks for Uncertainty in Agentic Systems, 2026
  6. Distributionally Robust Inference for Delayed Point Processes
    Zewei Deng, Shuyi Chen, Shixiang Zhu, and 1 more author
    Working paper. Workshop version forthcoming at the INFORMS Data Mining and Decision Analytics Workshop , 2026
    Extended manuscript in preparation for submission to the Annals of Applied Statistics (AOAS).