Projects per year
Personal profile
Research interests
Business & Economics - Big data
Business & Economics - Business Statistics
Mathematics & Statistics - High-dimensional statistics
Mathematics & Statistics - Statistical inference
Business & Economics - Business Statistics
Mathematics & Statistics - High-dimensional statistics
Mathematics & Statistics - Statistical inference
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Related documents
Education/Academic qualification
PhD in Operations Research and Financial Engineering, PhD, Princeton University
2015
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Algorithmic Bias, Economic Efficiency, and Social Welfare
XIA, L. (CoPI)
15/06/25 → 14/06/28
Project: Research
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High-dimensional Neyman-Pearson Classification with Applications to Textual Data Analysis
XIA, L. (PI)
1/01/21 → 30/06/24
Project: Research
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Covariate selection for optimizing balance with an innovative adaptive randomization approach
GUO, Z., Liu, Y. & Xia, L., Sept 2025, In: Statistical Methods in Medical Research. 34, 9, p. 1751-1779 29 p.Research output: Contribution to journal › Journal Article › peer-review
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PseudotimeDE-fast: fast testing of differential gene expression along cell pseudotime
Lai, Y., Song, D., Xia, L. & Li, J. J., Nov 2025, In: Bioinformatics. 41, 11, btaf573.Research output: Contribution to journal › Journal Article › peer-review
Open Access -
Testing heterogeneous treatment effect with quantile regression under covariate-adaptive randomization
Liu, Y., Xia, L. & Hu, F., May 2025, In: Journal of Econometrics. 249, 105808.Research output: Contribution to journal › Journal Article › peer-review
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Non-splitting Neyman-Pearson Classifiers
Wang, J., Xia, L., Bao, Z. & Tong, X., Jul 2024, In: Journal of Machine Learning Research. 25, p. 1-61 292.Research output: Contribution to journal › Journal Article › peer-review
Open Access -
Statistical method scDEED for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters
Xia, L., Lee, C. & Li, J. J., Dec 2024, In: Nature Communications. 15, 1, 1753.Research output: Contribution to journal › Journal Article › peer-review
Open Access32 Citations (Scopus)