Yuan, Y., Zhang, Y., Shahbaba, B., Fortin, N., Cooper, K., Nie, Q., & Qu, A. (2025). Optimal transport based cross-domain integration for heterogeneous data. Journal of the American Statistical Association

Wei, K., Xue, F., Xu, Q., Yuan, Y., Zhang, Y., Qin, G., Wani, A., Aiello, A., Wildman, D., Uddin, M., & Qu, A. (2025). Time-varying mediation analysis for incomplete data with application to DNA methylation study for PTSD. Annals of Applied Statistics

Wu, Y., & Yuan, Y. (2024). Robust offline active learning on graphs. 2024 Conference on Neural Information Processing Systems.

Xu, Q., Yuan, Y., Wang, J., & Qu, A. (2024). Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling. Journal of the American Statistical Association, 1-13.[link]

Yuan, Y., Xu, Q., Wani, A., Dahrendorff, J., Wang, C., Donglasan, Shen, A., Donglasan, J., Burgan, S., Graham, Z., Uddin, M., Wildman, D., & Qu, A. (2024). Differentially Expressed Heterogeneous Overdispersion Genes Testing for Count Data. Plos One [link]

Yuan, Y., & Qu, A. (2023). De-confounding causal inference using latent multiple-mediator pathways. Journal of the American Statistical Association, 1-15. [link]

Ma, Z., Li, L., Hemphill, L., Baecher, G., & Yuan, Y. (2023). Investigating disaster response through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western US wildfire season. Sustainable Cities and Society 106, 105362. [link]

Yuan, Y., & Qu, A. (2023). High-order joint embedding for multi-level link prediction. Journal of the American Statistical Association, 118(543), 1692-1706. [link]

Deng, Y.*, Yuan, Y.*, Fu, H., & Qu, A. (2023). Query-augmented active metric learning. Journal of the American Statistical Association, 118(543), 1862-1875. [link]

Li, D., Yuan, Y., Zhang, X., & Qu, A. (2022). Joint Modeling of Change-Point Identification and Dependent Dynamic Community Detection. Statistica Sinica. [link]

Zhang, J., Yuan, Y., & Qu, A. (2022). Tensor factorization recommender systems with dependency. Electronic Journal of Statistics, 16(1), 2175-2205.[link]

Yuan, Y., & Qu, A. (2021). Community detection with dependent connectivity. The Annals of Statistics, 49(4), 2378-2428.[link]

Bi, X.*, Tang, X.*, Yuan, Y.*, Zhang, Y.*, & Qu, A.* (2021). Tensors in statistics.Annual review of statistics and its application, 8, 345-368. [link]

Yuan, Y., Deng, Y., Zhang, Y., & Qu, A. (2020). Deep learning from a statistical perspective. Stat, 9(1), e294. [link]

Fritz, C.*, Yuan, Y.* , & Schweinberger, M. Hyperbolic space models of hypergraphs. Under Review

Zhang, Y., Yuan, Y. , Zhang, Y., Zhu, Z., &Qu, A. Individualized dynamic mediation analysis using latent factor models. Under Revision

Yuan, Y. , Huang, S., & Adeel, A. Inferring diffusion structures of heterogeneous network cascade. Under Revision

Xiang, Q., Yuan, Y. , Song, D., Wudil, U., Aliyu, M., Wester, C., & Shepherd, B. Double machine learning to estimate the effects of multiple treatments and interactions.

(* joint first author)