Overview
I work on foundational problems in statistics and data science, including causal inference, graphical methods, high-dimensional statistics, large-scale inference, optimal transport, and random objects. My publications have appeared in flagship ASA, IMS, and INFORMS journals, including Annals of Statistics, Biometrika, Journal of the American Statistical Association, Journal of Accounting and Economics, Jounral of Econometrics, and Management Science. I also have an active research program in health data science, especially for biomedical and environmental sciences.
Selected Publications in Statistical Theory and Methods
(group members are underlined and corresponding authors are denoted by *)
- Agarwal, A., Lee, K. (co-first author), and Xue, L.* (2025)
Clustering Time-Evolving Networks Using Temporal Exponential-Family Random Graph Models with Conditional Dyadic Independence and Dynamic Latent Blocks. (link)
Journal of Computational and Graphical Statistics, in press. - Tao, J., Chen, Q.*, Snyder Jr., J. W., Kumar, A. S., Meisami, A. and Xue, L.* (2024+)
A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch Attribution. (link, arXiv, ssrn)
Management Science, in press. - Bhattacharjee, S., Li, B. and Xue, L.* (2025)
Nonlinear Global Fréchet Regression for Random Objects via Weak Conditional Expectation. (link, arXiv)
The Annals of Statistics, 53: 117-143. - Li, D., Xue, L.*, Yang, H. and Yu, X. (2025)
Power-Enhanced Two-Sample Mean Tests for High-Dimensional Microbiome Compositional Data. (link, arXiv)
Biometrics, 81: ujaf034. - Yu, X., Zhang, L., Srinivasan, A., Xie, M. and Xue, L.* (2025)
A Unified Combination Framework for Dependent Tests with Applications to Microbiome Association Studies. (link, arXiv)
Biometrics, 81: ujaf001. - Chen, Q., Agarwal, A., Fong, D., DeSarbo, W. S. and Xue, L.* (2025)
Model-Based Co-Clustering in Customer Targeting Utilizing Large-Scale Online Product Rating Networks. (link)
Journal of Business & Economic Statistics, 43: 495-507. - Zhang, Q., Xue, L.* and Li, B. (2024)
Dimension Reduction for Fréchet Regression. (link, arXiv)
[Winner of 2023 ASA Nonparametric Statistics Best Student Paper Award]
Journal of the American Statistical Association, 119: 2733-2747. - Rios, N., Xue, L.* and Zhan, X. (2024)
A Latent Variable Mixture Model for Composition-on-Composition Regression with Application to Chemical Recycling. (link)
The Annals of Applied Statistics, 18: 3253-3273. - Zhang, Q., Li, B. and Xue, L.* (2024)
Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution Regression. (link, arXiv)
Journal of Multivariate Analysis, 202: 105302. - Liu, B., Zhang, Q. (co-first author), Xue, L.*, Song, P. X. K. and Kang, J. (2024)
Robust High-Dimensional Regression with Coefficient Thresholding and its Application to Imaging Data Analysis. (link, arXiv) [Winner of 2019 ASA Statistics in Imaging Best Student Paper Award]
Journal of the American Statistical Association, 119: 715-729. - Yu, X., Li, D. and Xue, L.* (2024)
Fisher's Combined Probability Test for High-Dimensional Covariance Matrices. (link, arXiv)
Journal of the American Statistical Association, 119: 511-524. - Tao, J., Li, B. and Xue, L.* (2024)
An Additive Graphical Model for Discrete Data. (link, arXiv)
Journal of the American Statistical Association, 119: 368-381. - Yu, X., Yao, J. and Xue, L.* (2024)
Power Enhancement for Testing Multi-Factor Asset Pricing Models via Fisher's Method. (link, ssrn)
Journal of Econometrics, 239: 105458. - Yu, X., Li, D., Xue, L.* and Li, R. (2024)
Power-Enhanced Simultaneous Test of High-Dimensional Mean Vectors and Covariance Matrices with Application to Gene-Set Testing. (link, arXiv)
Journal of the American Statistical Association, 118: 2548-2561. - Li, D., Srinivasan, A. (co-first author), Chen, Q.* and Xue, L.* (2023)
Robust Covariance Matrix Estimation for High-Dimensional Compositional Data with Application to Sales Data Analysis. (link)
Journal of Business & Economic Statistics, 41: 1090-1100. - Li, D., Srinivasan, A. (co-first author), Xue, L.* and Zhan, X. (2023)
Robust Shape Matrix Estimation for High-Dimensional Compositional Data with Application to Microbial Inter-Taxa Analysis. (link)
Statistica Sinica, 33: 1577-1602. - Yu, X., Yao, J. and Xue, L.* (2022)
Nonparametric Estimation and Conformal Inference of the Sufficient Forecasting with a Diverging Number of Factors. (link) [Winner of 2018 ASA Business and Economic Statistics Distinguished Student Paper Award]
Journal of Business & Economic Statistics, 40: 342-354. - Lee, K. H., Chen, Q.*, DeSarbo, W. S. and Xue, L.* (2022)
Estimating Finite Mixtures of Ordinal Graphical Models. (link, arXiv)
Psychometrika, 87: 83–106. - Luo, W., Xue, L.* (co-first author), Yao, J. and Yu, X.(2022)
Inverse Moment Methods for Sufficient Forecasting using High-Dimensional Predictors. (link, arXiv, ssrn)
Biometrika, 109: 473–487. - Srinivasan, A., Xue, L.* and Zhan, X. (2021)
Compositional Knockoff Filter for FDR Control in Microbiome Regression Analysis. (link, bioRxiv)
[Recognized as a top cited paper among work published in an issue between 1 January 2021 – 15 December 2022]
Biometrics, 77: 984-995. - Ke, Z. T., Xue, L. and Yang, F. (2020)
Diagonally-Dominant Principal Component Analysis. (link, arXiv)
Journal of Computational and Graphical Statistics, 29: 592-607. - Du, K, Huddart, S. J., Xue, L. and Zhang, Y. (2020)
Using a Hidden Markov Model to Measure Earnings Quality. (link, ssrn, earnings fidelity)
Journal of Accounting & Economics, 69: 101281. - Lee, K. H., Xue, L.*, and Hunter, D. R. (2020)
Model-Based Clustering of Time-Evolving Networks through Temporal ERGMs. (link, arXiv)
[Winner of 2016 ASA Statistical Learning and Data Science Best Student Paper Award]
Journal of Multivariate Analysis, 175: 104540. - Agarwal, A. and Xue, L.* (2020)
Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis. (link)
[Winner of 2018 ASA Risk Analysis Best Student Paper Award]
Technometrics, 62: 161-172. - Kim, B., Lee, K. H. (co-first author), Xue, L. and Niu, X. (2018)
A Review of Dynamic Network Models with Latent Variables. (link)
Statistics Surveys, 12: 105-135. - Li. D., Xue, L. (co-first author) and Zou, H. (2018)
Applications of Peter Hall's Martingale Limit Theory to Estimating and Testing High Dimensional Covariance Matrices. (link)
Statistica Sinica, 28: 2657-2670. - Lee, K. H. and Xue, L.* (2018)
Nonparametric Finite Mixture of Gaussian Graphical Models. (link, arXiv)
[Winner of 2016 ICSA Distinguished Student Paper Award]
Technometrics, 60: 511-521. - Fan, J., Xue, L.* and Yao, J. (2017)
Sufficient Forecasting Using Factor Models. (link, arXiv, ssrn)
Jounral of Econometrics, 201: 292-306. - Fan, J., Xue, L. and Zou, H. (2016)
Multi-Task Quantile Regression Under the Transnormal Model. (link, pdf)
Journal of the American Statistical Association, 111: 1726-1735. - Fan, J., Xue, L. and Zou, H. (2014)
Strong Oracle Optimality of Folded Concave Penalized Estimation. (link, arXiv)
The Annals of Statistics, 42: 819-849. - Xue, L. and Zou, H. (2014).
Rank-based Tapering Estimation of Bandable Correlation Matrices. (link)
Statistica Sinica, 24: 83-100. - Ma, S., Xue, L. and Zou, H. (2013)
Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection. (link, arXiv)
Neural Computation, 25: 2172-2198. - Xue, L. and Zou, H. (2013)
Minimax Optimal Estimation of General Bandable Covariance Matrices. (link)
Journal of Multivariate Analysis, 116: 45-51. - Xue, L., Zou, H. and Cai, T. (2012)
Nonconcave Penalized Composite Conditional Likelihood Estimation of Sparse Ising Models. (link, arXiv)
The Annals of Statistics, 40(3): 1403-1429. - Xue, L. and Zou, H. (2012)
Regularized Rank-Based Estimation of High-Dimensional Nonparanormal Graphical Models. (link, arXiv)
The Annals of Statistics, 40(5): 2541-2571. - Xue, L., Ma, S. and Zou, H. (2012)
Positive-Definite L1-Penalized Estimation of Large Covariance Matrices. (link, arXiv)
Journal of the American Statistical Association, 107: 1480-1491. - Xue, L. and Zou, H. (2011)
Sure Independence Screening and Compressed Random Sensing. (link)
Biometrika, 98(2): 371-380.
(group members are underlined and corresponding authors are denoted by *)
- Long, W., Liu, T., Xue, L.* and Zhao, H.* (2025)
spVelo: RNA velocity inference for multi-batch spatial transcriptomics data. (link)
Genome Biology, in press. - Din, M., Paul, S., Ullah, S., Yang, H., Xu, R. G., Abidin, N. A. Z., Sun, A., Chen, Y. C., Gao, R., Chowdhury, B., Zhou, F., Rogers, S., Miller, M., Biswas, A., Hu, L., Fan, Z., Zaher, Fan, J., Chen, Z., C., Berman, M., Xue, L., Ju, L., and Chen, Y. (2024)
Multi-Parametric Thrombus Profiling Microfluidics Detects Intensified Biomechanical Thrombogenesis Associated with Hypertension and Aging. (link)
Nature Communications. 15: 9067. - Shaheen, S., Wen, T., Zheng, Z., Xue, L., Baka, J. and Brantley, S. L. (2024)
Wastewaters Co-Produced with Shale Gas Drive Slight Regional Salinization of Groundwater. (link)
Environmental Science & Technology. 58: 17862-17873. - Agarwal, A., Wen, T., Chen, A., Zhang, A. Y., Niu, X., Zhan, X., Xue, L.* and Brantley, S. L. (2020)
Assessing Contamination of Stream Networks Near Shale Gas Development Using a New Geospatial Tool. (link)
Environmental Science & Technology, 54: 8632–8639. - Chen, Y., Ju, L., Zhou, F., Liao, J., Xue, L., Su, Q., Yuan, Y., Lu, H., Jackson, S. and Zhu C. (2019)
An Integrin αIIbβ3 Intermediate Affinity State Mediates Biomechanical Platelet Aggregation. (link)
[Featured in Georgia Tech News, University of Sydney News, Heart Research Institute News, Penn State News, EurekAlert! Science News, Scimex, ScienceDaily, Medical Xpress, and BioPortfolio]
Nature Materials, 18, 760–769. - Wen, T., Agarwal, A. (co-first author), Xue, L.*, Chen, A., Herman, A., Li, Z. and Brantley, S. L. (2019)
Assessing Changes in Groundwater Chemistry in Landscapes with More Than 100 Years of Oil and Gas Development. (link)
Environmental Science: Processes & Impacts, 21, 384-396. - Lin, N., Jing, R., Wang, Y., Yonekura, E., Fan, F. and Xue, L. (2017)
A Statistical Investigation of the Dependence of Tropical Cyclone Intensity Change on the Surrounding Environment. (link)
Monthly Weather Review, 145, 2813-2831. - Ju, L., Chen, Y., Xue, L., Du, X. and Zhu C. (2016)
Cooperative Unfolding of Distinctive Mechanoreceptor Domains Transduces Force into Signals. (link)
[Featured in NSF Science360, Georgia Tech News and Penn State News]
eLife, e15447.