1. Cai, T., Li, M., & Liu, M. (2024). Semi-Supervised Triply Robust Inductive Transfer Learning. Journal of the American Statistical Association (forthcoming). (署名按姓氏排序)
2. Zhou, D., Liu, M., Li, M., & Cai, T. (2024). Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features. Journal of the American Statistical Association, (forthcoming). (共一作2/2，通讯)
3. Verma, A., Huffman, J. E., Rodriguez, A., ..., Liu, M., ..., Liao, K. P., et al. (2024). Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program. Science, 385(6706), 1-11.
(共一作5/5)
4. Liu, M., Katsevich, E., Janson, L., & Ramdas, A. (2022). Fast and powerful conditional randomization testing via distillation. Biometrika, 109(2), 277-293. (一作)
5. Li, S., Liu, M. (2023). Maxway CRT: improving the robustness of the model-X inference. Journal of the Royal Statistical Society Series B: Statistical Methodology, 85(5), 1441-1470. (共一作2/2，通讯)
6. Liu, M., Zhang, Y., Liao, K. P., & Cai, T. (2023). Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models. Journal of Machine Learning Research, 24(293), 1-50. (一作)
7. Zhang, Y., Liu, M., Neykov, M., & Cai, T. (2022). Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping. Journal of Machine Learning Research, 23, 1-25. (共一作2/2，通讯)
8. Cai, T., Liu, M., & Xia, Y. (2022). Individual data protected integrative regression analysis of high-dimensional heterogeneous data. Journal of the American Statistical Association, 117(540), 2105-2119. (署名按姓氏排序)
9. Gronsbell, J., Liu, M., Tian, L., & Cai, T. (2022). Efficient evaluation of prediction rules in semi-supervised settings under stratified sampling. Journal of the Royal Statistical Society: Series B, 84(4), 1353-1391. (共一作)
10. Liu, M., Xia, Y., Cho, K., & Cai, T. (2020). Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints. Journal of Machine Learning Research, 22(126), 1-26. (一作)
