Lucy Xia

Associate Professor, Department of Information Systems, Business Statistics and Operations Management (ISOM), The Hong Kong University of Science and Technology (HKUST)

Lucy_Profile.jpeg

Department of ISOM

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

Hong Kong

Research Interests

  • High-dimensional Statistics
  • Machine Learning
  • Experimental Design
  • Statistical Applications to Social Science and Biology

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
    Minor revision
  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
    Major 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