Preprints

  1. Learning to Test: Physics-informed representation for dynamical instability detection
    Minxing Zheng , Zewei Deng , Liyan Xie , and Shixiang Zhu
    preprint, 2026
  2. Score-based change-point detection and region localization for spatio-temporal point processes (GitHub)
    Wenbin Zhou , Liyan Xie , and Shixiang Zhu
    preprint, 2026
    Winner of 2026 IISE QCRE Best Track Paper Competition
  3. Training Diffusion Models on Tabular Data with Missing Values (GitHub)
    Yidong Ouyang , Liyan Xie , Chongxuan Li , and Guang Cheng
    preprint, 2023
    Presented in part at the ICML 2023 Workshop on Structured Probabilistic Inference & Generative Modeling
  4. Neural Differential Recurrent Neural Network with Adaptive Time Steps (GitHub)
    Yixuan Tan , Liyan Xie , and Xiuyuan Cheng
    preprint, 2023
  5. Robust Hypothesis Testing with Wasserstein Uncertainty Sets
    Liyan Xie , Rui Gao , and Yao Xie
    preprint, 2021

Journal Papers

  1. Sequential Change Detection with Local Differential Privacy
    Lixing Zhang , Xuran Liu , Ruizhi Zhang , and Liyan Xie
    Entropy, Special Issue on Information-Theoretic Security and Privacy, 2026
  2. Sequential Change Detection with Differential Privacy (Code)
    Liyan Xie , and Ruizhi Zhang
    IEEE Transactions on Information Theory, 2025
  3. Private Online Community Detection for Censored Block Models
    Mohamed Seif , Liyan Xie , Andrea J. Goldsmith , and H. Vincent Poor
    IEEE Transactions on Information Forensics & Security, 2025
  4. Survival Analysis with Graph-Based Regularization for Predictors (GitHub)
    Liyan Xie , Xi He , Pinar Keskinocak , and Yao Xie
    Statistics in Biosciences, 2025
  5. Generalizing to unseen domains with Wasserstein distributional robustness under limited source knowledge
    Jingge Wang , Liyan Xie , Yao Xie , Shao-Lun Huang , and Yang Li
    IEEE Journal of Selected Topics in Signal Processing, 2024
  6. eRPCA: Robust Principal Component Analysis for Exponential Family Distributions
    Xiaojun Zheng , Simon Mak , Liyan Xie , and Yao Xie
    Statistical Analysis and Data Mining: The ASA Data Science Journal, 2024
  7. Window-Limited CUSUM for Sequential Change Detection
    Liyan Xie , George V. Moustakides , and Yao Xie
    IEEE Transactions on Information Theory, 2023
  8. Spectral CUSUM for Online Network Structure Change Detection
    Minghe Zhang , Liyan Xie , and Yao Xie
    IEEE Transactions on Information Theory, 2023
  9. PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis
    Xiaojun Zheng , Simon Mak , Liyan Xie , and Yao Xie
    Technometrics, 2022
  10. Sequential Change-Point Detection for Mutually Exciting Point Processes
    Haoyun Wang , Liyan Xie , Alex Cuozzo , Simon Mak , and Yao Xie
    Technometrics, 2022
  11. Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data
    Shixiang Zhu , Alexander Bukharin , Liyan Xie , Shihao Yang , Pinar Keskinocak , and Yao Xie
    IEEE Journal of Selected Topics in Signal Processing, 2022
  12. Sequential Change Detection by Optimal Weighted L2 Divergence
    Liyan Xie , and Yao Xie
    IEEE Journal on Selected Areas in Information Theory, 2021
  13. Sequential Change Detection: Classical Results and New Directions
    Liyan Xie , Shaofeng Zou , Yao Xie , and Venugopal V. Veeravalli
    IEEE Journal on Selected Areas in Information Theory, 2021
    Survey paper
  14. High-resolution Spatio-temporal Model for County-level COVID-19 Activity in the US
    Shixiang Zhu , Alexander Bukharin , Liyan Xie , Mauricio Santillana , Shihao Yang , and Yao Xie
    ACM Transactions on Management Information Systems, 2021
  15. Screening Candidate Supplementary Cementitious Materials under Standard and Accelerated Curing Through Time-series Surface Resistivity Measurements and Change-Point Detection
    Renee T. Rios , Francesca Lolli , Liyan Xie , Yao Xie , and Kimberly E. Kurtis
    Cement and Concrete Research, 2021
  16. Sequential Subspace Change-Point Detection
    Liyan Xie , Yao Xie , and George V. Moustakides
    Sequential Analysis, 2020
  17. Convex Parameter Recovery for Interacting Marked Processes
    Anatoli Juditsky , Arkadi Nemirovski , Liyan Xie , and Yao Xie
    IEEE Journal on Selected Areas in Information Theory, 2020
  18. Sequential change-point detection via online convex optimization
    Yang Cao , Liyan Xie , Yao Xie , and Huan Xu
    Entropy, Special Issue on Information Theory in Machine Learning and Data Science, 2018

Conference Papers

  1. Corrected Samplers for Discrete Flow Models (GitHub)
    Zhengyan Wan , Yidong Ouyang , Liyan Xie , Fang Fang , Hongyuan Zha , and Guang Cheng
    ICML, 2026
  2. Error Analysis of Discrete Flow with Generator Matching
    Zhengyan Wan , Yidong Ouyang , Qiang Yao , Liyan Xie , Fang Fang , Hongyuan Zha , and Guang Cheng
    ICML, 2026
  3. Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching
    Zhengyan Wan , Yidong Ouyang , Liyan Xie , Fang Fang , Hongyuan Zha , and Guang Cheng
    ICLR, 2026
  4. Sequential Change Point Detection via Denoising Score Matching
    Wenbin Zhou , Liyan Xie , Zhigang Peng , and Shixiang Zhu
    Allerton, 2025
  5. Recurrent Neural Goodness-of-Fit Test for Time Series
    Aoran Zhang , Wenbin Zhou , Liyan Xie , and Shixiang Zhu
    AISTATS, 2025
  6. Transfer Learning for Diffusion Models (GitHub)
    Yidong Ouyang , Liyan Xie , Hongyuan Zha , and Guang Cheng
    NeurIPS, 2024
  7. Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets
    Liyan Xie , Yuchen Liang , and Venugopal V. Veeravalli
    AISTATS, 2024
  8. Sequential Wasserstein Uncertainty Sets for Minimax Robust Online Change Detection
    Yiran Yang , and Liyan Xie
    ICASSP, 2024
  9. Improving Adversarial Robustness by Contrastive Guided Diffusion Process (GitHub)
    Yidong Ouyang , Liyan Xie , and Guang Cheng
    ICML, 2023
  10. Distributionally Robust k-Nearest Neighbors for Few-Shot Learning
    Shixiang Zhu , Liyan Xie , Minghe Zhang , Rui Gao , and Yao Xie
    NeurIPS, 2022
  11. Minimax Robust Quickest Change Detection using Wasserstein Ambiguity Sets
    Liyan Xie
    ISIT, 2022
  12. Optimality of Graph Scanning Statistic for Online Community Detection
    Liyan Xie , and Yao Xie
    ISIT, 2021
  13. Uncertainty Quantification for Inferring Hawkes Networks
    Haoyun Wang , Liyan Xie , Alex Cuozzo , Simon Mak , and Yao Xie
    NeurIPS, 2020
  14. Online Community Detection by Spectral CUSUM
    Minghe Zhang , Liyan Xie , and Yao Xie
    ICASSP, 2020
  15. Asynchronous multi-sensor change-point detection for seismic tremors
    Liyan Xie , Yao Xie , and George V. Moustakides
    ISIT, 2019
  16. Robust hypothesis testing using Wasserstein uncertainty sets
    Rui Gao , Liyan Xie , Yao Xie , and Huan Xu
    NeurIPS, 2018
    Spotlight
  17. First-order optimal sequential subspace change-point detection
    Liyan Xie , George V. Moustakides , and Yao Xie
    GlobalSIP, 2018
  18. Nearly second-order optimality of online joint detection and estimation via one-sample update schemes
    Yang Cao , Liyan Xie , Yao Xie , and Huan Xu
    AISTATS, 2018
  19. Communication efficient signal detection for distributed ambient noise imaging
    Liyan Xie , Yao Xie , Sin-Mei Wu , Fan-Chi Lin , and Wenzhan Song
    Asilomar, 2018
  20. Sequential detection of low-rank changes using extreme eigenvalues
    Liyan Xie , and Yao Xie
    CAMSAP, 2017

Thesis

  1. Robust Statistical Inference Through the lens of Optimization
    Liyan Xie
    Georgia Institute of Technology, 2021