Publications

2026

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

   cite link

   @article{tian2026unsupervised,
     title = {Unsupervised multi-task and transfer learning on gaussian mixture models},
     author = {Tian, Ye and Weng, Haolei and Xia, Lucy and Feng, Yang},
     journal = {Journal of American Statistical Association},
     url = {https://www.tandfonline.com/doi/full/10.1080/01621459.2026.2670031},
     corresponding = {Yang Feng},
     year = {2026},
   }

2. Model-robust Inference for Seamless II/III Trials with Covariate Adaptive Randomization

   Kun Yi and Lucy Xia

   Statistica Sinica, 2026

   cite link

   @article{yi2025model,
     title = {Model-robust Inference for Seamless II/III Trials with Covariate Adaptive Randomization},
     author = {Yi, Kun and Xia, Lucy},
     journal = {Statistica Sinica},
     corresponding = {Lucy Xia},
     year = {2026},
     url = {https://www3.stat.sinica.edu.tw/ss_newpaper/SS-2025-0427_na.pdf}
   }

3. 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

   cite

   @article{cheng2026inference,
     title = {Inference for changing periodicity, smooth trend and covariate effects in time series},
     author = {Cheng, Ming-Yen and Siegmund, David and Wang, Shouxia and Wang, Haofeng and Xia, Lucy},
     journal = {Journal of the Royal Statistical Society, Series B},
     corresponding = {Lucy Xia},
     year = {2026},
     note = {Major revision},
   }

4. 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

   cite

   @article{liu2026statistical,
     title = {Statistical Inference with Mixed-Effect Model for Covariate-Adaptive Randomized Experiments},
     author = {Liu, Yang and Xia, Lucy and Hu, Feifang},
     journal = {Journal of the American Statistical Association},
     corresponding = {Feifang Hu},
     year = {2026},
     note = {Minor revision},
   }

5. 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

   cite link

   @article{fan2026neyman,
     title = {Neyman--Pearson and equal opportunity: when efficiency meets fairness in classification},
     author = {Fan, Jianqing and Tong, Xin and Wu, Yanhui and Xia, Lucy and Yao, Shunan},
     journal = {Journal of the American Statistical Association},
     corresponding = {Xin Tong},
     year = {2026},
     note = {Major revision},
     url = {https://arxiv.org/abs/2310.01009},
   }

2025

1. Covariate selection for optimizing balance with an innovative adaptive randomization approach

   Ziqing Guo , Yang Liu , and Lucy Xia

   Statistical Methods in Medical Research, 2025

   cite link

   @article{guo2025covariate,
     title = {Covariate selection for optimizing balance with an innovative adaptive randomization approach},
     author = {Guo, Ziqing and Liu, Yang and Xia, Lucy},
     journal = {Statistical Methods in Medical Research},
     url = {https://pubmed.ncbi.nlm.nih.gov/40221962/},
     corresponding = {Lucy Xia},
     year = {2025}
   }

2. Testing heterogeneous treatment effect with quantile regression under covariate-adaptive randomization

   Yang Liu , Lucy Xia , and Feifang Hu

   Journal of Econometrics, 2025

   cite link

   @article{liu2025testing,
     title = {Testing heterogeneous treatment effect with quantile regression under covariate-adaptive randomization},
     author = {Liu, Yang and Xia, Lucy and Hu, Feifang},
     journal = {Journal of Econometrics},
     volume = {249},
     pages = {105808},
     year = {2025},
     publisher = {North-Holland},
     url = {https://www.sciencedirect.com/science/article/pii/S0304407624001544},
     corresponding = {Feifang Hu},
   }

3. PseudotimeDE-fast: fast testing of differential gene expression along cell pseudotime

   Yuheng Lai , Dongyuan Song , Lucy Xia , and Jingyi Jessica Li

   Bioinformatics, 2025

   cite link

   @article{lai2025pseudotimede,
     title = {PseudotimeDE-fast: fast testing of differential gene expression along cell pseudotime},
     author = {Lai, Yuheng and Song, Dongyuan and Xia, Lucy and Li, Jingyi Jessica},
     journal = {Bioinformatics},
     volume = {41},
     number = {11},
     pages = {btaf573},
     year = {2025},
     publisher = {Oxford University Press},
     url = {https://academic.oup.com/bioinformatics/article/41/11/btaf573/8294116?login=false},
     corresponding = {Lucy Xia},
   }

4. Tensor Neyman-Pearson Classification: Theory, Algorithms, and Error Control

   Lingchong Liu , Elynn Chen , Yuefeng Han , and Lucy Xia

   2025

   cite link

   @article{liu2025tensor,
     title = {Tensor Neyman-Pearson Classification: Theory, Algorithms, and Error Control},
     author = {Liu, Lingchong and Chen, Elynn and Han, Yuefeng and Xia, Lucy},
     url = {https://arxiv.org/abs/2512.04583},
     corresponding = {Lucy Xia},
     year = {2025}
   }

2024

1. Non-splitting neyman-pearson classifiers

   Jingming Wang , Lucy Xia , Zhigang Bao , and Xin Tong

   Journal of Machine Learning Research, 2024

   cite link

   @article{wang2024non,
     title = {Non-splitting neyman-pearson classifiers},
     author = {Wang, Jingming and Xia, Lucy and Bao, Zhigang and Tong, Xin},
     journal = {Journal of Machine Learning Research},
     volume = {25},
     number = {292},
     pages = {1--61},
     year = {2024},
     url = {https://jmlr.org/papers/volume25/22-0795/22-0795.pdf},
     corresponding = {Lucy Xia},
   }

2. Testing specification of distribution in stochastic frontier analysis

   Ming-Yen Cheng , Shouxia Wang , Lucy Xia , and Xibin Zhang

   Journal of Econometrics, 2024

   cite link

   @article{cheng2024testing,
     title = {Testing specification of distribution in stochastic frontier analysis},
     author = {Cheng, Ming-Yen and Wang, Shouxia and Xia, Lucy and Zhang, Xibin},
     journal = {Journal of Econometrics},
     volume = {239},
     number = {2},
     pages = {105280},
     year = {2024},
     url = {https://www.sciencedirect.com/science/article/abs/pii/S0304407622000677},
     corresponding = {Lucy Xia},
     publisher = {North-Holland}
   }

3. 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

   cite link

   @article{xia2024statistical,
     title = {Statistical method scDEED for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters},
     author = {Xia, Lucy and Lee, Christy and Li, Jingyi Jessica},
     journal = {Nature Communications},
     year = {2024},
     publisher = {Nature Portfolio},
     url = {https://www.nature.com/articles/s41467-024-45891-y},
     corresponding = {Jingyi Jessica Li},
   }

2020

1. 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

   cite link

   @article{fan2020projection,
     title = {A projection based conditional dependence measure with applications to high-dimensional undirected graphical models},
     author = {Fan, Jianqing and Feng, Yang and Xia, Lucy},
     journal = {Journal of Econometrics},
     year = {2020},
     url = {https://www.sciencedirect.com/science/article/abs/pii/S0304407620300403},
     corresponding = {Lucy Xia},
   }

2. 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

   cite link

   @article{xia2020intentional,
     title = {Intentional control of Type I error over unconscious data distortion: a Neyman-Pearson approach to text classification},
     author = {Xia, Lucy and Zhao, Richard and Wu, Yanhui and Tong, Xin},
     journal = {Journal of the American Statistical Association},
     year = {2020},
     url = {https://www.tandfonline.com/doi/full/10.1080/01621459.2020.1740711?__cf_chl_f_tk=udC3A_Y5CqahGlBoL9hgXmEZAXbv0MLB3FA36YgnCcU-1782810964-1.0.1.1-voXDxZw.mAltGlj4WtFBTUJFBiQsC17MWVrAdWNTAy4},
     corresponding = {Xin Tong},
   }

3. Neyman-Pearson classification: parametrics and sample size requirement

   Xin Tong , Lucy Xia , Jiacheng Wang , and Yang Feng

   Journal of Machine Learning Research, 2020

   cite link

   @article{tong2020neyman,
     title = {Neyman-Pearson classification: parametrics and sample size requirement},
     author = {Tong, Xin and Xia, Lucy and Wang, Jiacheng and Feng, Yang},
     journal = {Journal of Machine Learning Research},
     volume = {21},
     number = {12},
     pages = {1--48},
     year = {2020},
     url = {https://www.jmlr.org/papers/volume21/18-577/18-577.pdf},
     corresponding = {Xin Tong},
   }

2019

1. Inferactive data analysis

   Nan Bi , Jelena Markovic , Lucy Xia , and Jonathan Taylor

   Scandinavian Journal of Statistics, 2019

   cite

   @article{bi2019inferactive,
     title = {Inferactive data analysis},
     author = {Bi, Nan and Markovic, Jelena and Xia, Lucy and Taylor, Jonathan},
     journal = {Scandinavian Journal of Statistics},
     corresponding = {Jonathan Taylor},
     year = {2019}
   }

2017

1. Unifying approach to selective inference with applications to cross-validation

   Jelena Markovic , Lucy Xia , and Jonathan Taylor

   arXiv preprint arXiv:1703.06559, 2017

   cite

   @article{markovic2017unifying,
     title = {Unifying approach to selective inference with applications to cross-validation},
     author = {Markovic, Jelena and Xia, Lucy and Taylor, Jonathan},
     journal = {arXiv preprint arXiv:1703.06559},
     corresponding = {Jonathan Taylor},
     year = {2017}
   }

2015

1. QUADRO: A supervised dimension reduction method via Rayleigh quotient optimization

   Jianqing Fan , Zheng Tracy Ke , Han Liu , and Lucy Xia

   Annals of statistics, 2015

   cite link

   @article{fan2015quadro,
     title = {QUADRO: A supervised dimension reduction method via Rayleigh quotient optimization},
     author = {Fan, Jianqing and Ke, Zheng Tracy and Liu, Han and Xia, Lucy},
     journal = {Annals of statistics},
     volume = {43},
     number = {4},
     pages = {1498},
     year = {2015},
     url = {https://projecteuclid.org/journals/annals-of-statistics/volume-43/issue-4/QUADRO--A-supervised-dimension-reduction-method-via-Rayleigh-quotient/10.1214/14-AOS1307.pdf},
     corresponding = {Jianqing Fan},
   }

2014

1. Aggregation of affine estimators

   Dong Dai , Philippe Rigollet , Lucy Xia , and Tong Zhang

   Electronic Journal of Statistics, 2014

   cite link

   @article{dai2014aggregation,
     title = {Aggregation of affine estimators},
     author = {Dai, Dong and Rigollet, Philippe and Xia, Lucy and Zhang, Tong},
     journal = {Electronic Journal of Statistics},
     volume = {8},
     number = {1},
     pages = {302--327},
     url = {https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-8/issue-1/Aggregation-of-affine-estimators/10.1214/14-EJS886.full},
     corresponding = {Philippe Rigollet},
     year = {2014}
   }