美丽有两种
一是深刻又动人的方程
一是你泛着倦意淡淡的笑容
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Tensor Data Learning
Tensor Data Learning
Multi-modality Imaging
Multi-modality Imaging
Individualized Modeling and Recommendation
Individualized Modeling and Recommendation
Point Process and Neuronal Activities
Point Process and Neuronal Activities
Preprints and Manuscripts
Preprints and Manuscripts
Jin, H and Tang, X. Recommender system with double embedding learning.
Publications
Publications
Tianxi Li, Xiwei Tang, and Ajay Chatrath. Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules. (2023) Annals of Applied Statistics, Forthcoming.
Xue, F, Tang, X, Kim, G., Aiello, A., Koenen, K., Galea,S., Wildman,D., Uddin, M., and Qu, A. (2022) Heterogeneous mediation analysis for causal inference. biorXiv preprint. Journal of the American Statistical Association, Forthcoming.
Tang, X., and Li, L. (2021) Multivariate temporal point process regression. Journal of the American Statistical Association, 1-16.
Deng, Y, Tang, X., and Qu, A. (2021) Correlation tensor decomposition and its application in spatial imaging data. Journal of the American Statistical Association. Forthcoming. (Runner up of Student Paper Competition for Joint Statistical Meetings 2019 by American Statistical Association section on Statistics in Imaging)
Bi, X., Tang, X., Yuan, Y., Zhang, Y. and Qu, A. (2021). Tensors in Statistics. Annual Review of Statistics and Its Application, 8, 2.1-2.24.
Shi, L., Tang, X., He, J. and Shi, W. (2021). Hyperlipidemia Influences the Accuracy of Glucometer-Measured Blood Glucose Concentrations in Genetically Diverse Mice. The American Journal of the Medical Sciences. Forthcoming.
Tang, X., Xue, F. and Qu, A. (2020). Individualized multi-directional variable selection. Journal of the American Statistical Association, 1-17.
Chatrath, A., Su, Z., Wilson, B., Lee, K. Y., Paulsen, T., Sobierajska, E., Kiran, M., Tang, X., Li, T., Kumar, P., and Dutta, A. (2020). The Pan-Cancer landscape of prognostic germline variants in 10,582 patients. Genome Medicine,12(1), 1-18.
Tang, X., Bi, X. and Qu, A. (2019). Individualized multilayer tensor learning with an application on imaging analysis. Journal of the American Statistical Association,115(530), 836-851. (Winner of Student Paper Competition for Joint Statistical Meetings 2017 by American Statistical Association section on Statistical Learning and Data Science)
Zhu, X., Tang, X. and Qu, A. (2019). Longitudinal clustering for heterogeneous binary data. Statistica Sinica. DOI: 10.5705/ss.202018.0298.
Kinson, C., Tang, X., Zhuo, Z. and Qu, A. (2019). Longitudinal principal component analysis with an application on marketing data. Journal of Computational and Graphical Statistics, 29(2), 335-350.
Kiran,M., Chatrath, A., Tang, X., Keenan, DM., Dutta, A. (2019). A prognostic signature for lower grade gliomas based on expression of long non-coding RNAs. Molecular Neurobiology, 56(7), 4786-4798.
Greenstein, A. W, Boyle-Vavra, B., Maddox, C. W, Tang, X., Halliday, L. C., Fortman, J. D. (2018). Characterization of methicillin-resistant staphylococcus aureus (MRSA) carriage in a colony of rhesus and cynomolgus macaques. Comparative Medicine, 69(4), 311-320.
Stelle, L., Schoenheit, T., Brubaker, A., Tang, X., Qu, P., Cradock, K., Sundaram, M., Higham, A. (2018). Two-year experience of radioactive seed localization versus wire localization for nonpalpable breast lesions at a large community hospital. Annals of Surgical Oncology, 25, 131-136.
Tang, X. and Qu, A. (2016). Mixture modeling for longitudinal data. Journal of Computational and Graphical Statistics, 25, 1117-1137.
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