Projects per year
Personal profile
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):
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Dive into the research topics where Lingzhou Xue is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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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Collaborative Research: DMS/NIGMS 2: New statistical methods, theory, and software for microbiome data
Xue, L. (PI) & Yu, X. X. (CoPI)
National Institute of General Medical Sciences
9/5/23 → 8/31/26
Project: Research project
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Dimension Reduction and Data Visualization for Regression Analysis of Metric-Space-Valued Data
8/1/22 → 7/31/25
Project: Research project
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Collaborative Research: CIF: Small: New Theory and Applications of Non-smooth and Non-Lipschitz Riemannian Optimization
Xue, L. (PI)
10/1/20 → 9/30/24
Project: Research project
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National Institute of Statistical Sciences Writing Workshop for Junior Researchers
Rosenberger, J. L. (PI) & Xue, L. (CoPI)
7/1/20 → 6/30/22
Project: Research project
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Collaborative Research: New Methods, Theory and Applications for Nonsmooth Manifold-Based Learning
Xue, L. (PI) & Zhan, X. (CoPI)
6/1/20 → 5/31/24
Project: Research project
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A unified combination framework for dependent tests with applications to microbiome association studies
Yu, X., Zhang, L., Srinivasan, A., Xie, M. G. & Xue, L., Mar 1 2025, In: Biometrics. 81, 1, ujaf001.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Clustering Time-Evolving Networks Using Temporal Exponential-Family Random Graph Models with Conditional Dyadic Independence and Dynamic Latent Blocks
Agarwal, A., Lee, K. H. & Xue, L., 2025, In: Journal of Computational and Graphical Statistics. 34, 4, p. 1692-1704 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Composition-on-composition regression analysis for multi-omics integration of metagenomic data
Rios, N., Shi, Y., Chen, J., Zhan, X., Xue, L. & Li, Q., Jul 1 2025, In: Bioinformatics. 41, 7, btaf387.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
FEDERATED Q-LEARNING WITH REFERENCE-ADVANTAGE DECOMPOSITION: ALMOST OPTIMAL REGRET AND LOGARITHMIC COMMUNICATION COST
Zheng, Z., Zhang, H. & Xue, L., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 35961-36016 56 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Scopus citations -
Gap-Dependent Bounds for Federated Q-Learning
Zhang, H., Zheng, Z. & Xue, L., 2025, In: Proceedings of Machine Learning Research. 267, p. 77107-77151 45 p.Research output: Contribution to journal › Conference article › peer-review