Lucy Xia

Lucy_Profile.jpeg

Department of ISOM

The Hong Kong University of Science and Technology, Clear Water Bay

Hong Kong

I am an Associate Professor in the Department of Information Systems, Business Statistics and Operations Management at HKUST. My research focuses on high-dimensional statistics, machine learning, and experimental design.

I received my B.A. in Mathematics from the University of Virginia in 2010 and my Ph.D. from Princeton University’s Department of Operations Research and Financial Engineering in 2015. Following my doctoral studies, I was a Stein Fellow in the Department of Statistics at Stanford University from 2015 to 2019.

Editorial Activities

  • Associate Editor, Journal of the Royal Statistical Society, Series B, 2026–
  • Associate Editor, Journal of the American Statistical Association: Reviews, 2026–
  • Associate Editor, The American Statistician, 2026–

Selected Honors and Grants

  • Elected Member, International Statistical Institute (ISI), 2025
  • Hong Kong RGC General Research Fund (PI, Aug 2026 – July 2029)
  • Hong Kong RGC General Research Fund (PI, Aug 2025 – July 2028)
  • Hong Kong RGC Collaborative Research Fund (co-PI, June 2025 – May 2028)
  • Winner, Franklin Prize for Teaching Excellence, HKUST 2025
  • Hong Kong RGC General Research Fund (co-PI, Jan 2022 – Dec 2024)
  • The Hong Kong Laureate Forum (Young Scientist Participant, 2023)
  • Hong Kong RGC Early Career Scheme Research Grant (PI, Jan 2021 – Dec 2023)
  • Dean’s Recognition of Teaching Excellence, HKUST (2020–2026)

Selected Publications

  1. Unsupervised multi-task and transfer learning on gaussian mixture models
    Ye Tian , Haolei Weng , Lucy Xia , and Yang Feng
    Journal of American Statistical Association, 2026
  2. Inference for changing periodicity, smooth trend and covariate effects in time series
    Ming-Yen Cheng , David Siegmund , Shouxia Wang , Haofeng Wang , and Lucy Xia
    Journal of the Royal Statistical Society, Series B, 2026
    Major revision
  3. Statistical Inference with Mixed-Effect Model for Covariate-Adaptive Randomized Experiments
    Yang Liu , Lucy Xia , and Feifang Hu
    Journal of the American Statistical Association, 2026
    To appear
  4. Neyman–Pearson and equal opportunity: when efficiency meets fairness in classification
    Jianqing Fan , Xin Tong , Yanhui Wu , Lucy Xia , and Shunan Yao
    Journal of the American Statistical Association, 2026
    Minor revision
  5. Testing heterogeneous treatment effect with quantile regression under covariate-adaptive randomization
    Yang Liu , Lucy Xia , and Feifang Hu
    Journal of Econometrics, 2025
  6. PseudotimeDE-fast: fast testing of differential gene expression along cell pseudotime
    Yuheng Lai , Dongyuan Song , Lucy Xia , and Jingyi Jessica Li
    Bioinformatics, 2025
  7. Non-splitting neyman-pearson classifiers
    Jingming Wang , Lucy Xia , Zhigang Bao , and Xin Tong
    Journal of Machine Learning Research, 2024
  8. Testing specification of distribution in stochastic frontier analysis
    Ming-Yen Cheng , Shouxia Wang , Lucy Xia , and Xibin Zhang
    Journal of Econometrics, 2024
  9. Statistical method scDEED for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters
    Lucy Xia , Christy Lee , and Jingyi Jessica Li
    Nature Communications, 2024
  10. A projection based conditional dependence measure with applications to high-dimensional undirected graphical models
    Jianqing Fan , Yang Feng , and Lucy Xia
    Journal of Econometrics, 2020
  11. Intentional control of Type I error over unconscious data distortion: a Neyman-Pearson approach to text classification
    Lucy Xia , Richard Zhao , Yanhui Wu , and Xin Tong
    Journal of the American Statistical Association, 2020
  12. Neyman-Pearson classification: parametrics and sample size requirement
    Xin Tong , Lucy Xia , Jiacheng Wang , and Yang Feng
    Journal of Machine Learning Research, 2020
  13. QUADRO: A supervised dimension reduction method via Rayleigh quotient optimization
    Jianqing Fan , Zheng Tracy Ke , Han Liu , and Lucy Xia
    Annals of statistics, 2015