Research
Publications
Wang, G., Xian, X., Kundu, A., Srinivasa, J., Bi, X., Hong, M. and Ding, J. (2024). Demystifying poisoning backdoor attacks from a statistical perspective. International Conference on Learning Representations (ICLR).
Chen, J., He, L., Liu, H., Yang, Y. and Bi, X. (2023). Background music recommendation on short video sharing platforms. Information Systems Research, accepted.
Xian, X., Wang, G., Srinivasa, J., Kundu, A., Bi, X., Hong, M. and Ding, J. (2023). A Unified Framework for Inference-Stage Backdoor Defenses. Conference on Neural Information Processing Systems (NeurIPS).
Bi, X., Gupta, A. and Yang, M. (2023). Understanding partnership formation and repeated contributions in federated learning: An analytical investigation. Management Science, accepted.
Xian, X., Wang, G., Srinivasa, J., Kundu, A., Bi, X., Hong, M. and Ding, J. (2023). Understanding backdoor attacks through the adaptability hypothesis. International Conference on Machine Learning (ICML).
Bi, X., Yang, M. and Adomavicius, G. (2023). Consumer acquisition for recommender systems: A theoretical framework and empirical validations. Information Systems Research, accepted.
Travadi, Y., Peng, L., Bi, X., Sun, J. and Yang, M. (2023). Welfare and fairness dynamics in federated learning: A client selection perspective. Statistics and Its Interface, accepted.
Bi, X. and Shen, X. (2023). Distribution-invariant differential privacy. Journal of Econometrics, 235, 444-453. [R code]
Shen, X., Bi, X. and Shen, R. (2022). Data flush. Harvard Data Science Review, 4(2).
Bi, X.*, Feng, L.*, Li, C.* and Zhang, H. (2022). Modeling pregnancy outcomes through sequentially nested regression models. Journal of the American Statistical Association, 117, 602-616.
Bi, X., Adomavicius, G., Li, W. and Qu, A. (2022). A temporal recommendation engine for product sales forecasting. INFORMS Journal on Computing, 34, 1644-1660.
Zhang, Y., Bi, X., Tang, N.-S. and Qu, A. (2021). Dynamic tensor recommender systems. Journal of Machine Learning Research, 22, 1-35.
Feng, L.*, Bi, X.* and Zhang, H. (2021). Brain regions identified as being associated with verbal reasoning through the use of imaging regression via internal variation. Journal of the American Statistical Association, 116, 144-158.
Media Coverage: HealthITAnalytics, University of Minnesota News and Events
Bi, X.*, Tang, X.*, Yuan, Y.*, Zhang, Y.* and Qu, A.* (2021). Tensors in Statistics. Annual Review of Statistics and Its Application, 8, 345-368.
Tang, X., Bi, X. and Qu, A. (2020). Individualized multilayer tensor learning with an application in imaging analysis. Journal of the American Statistical Association, 115, 836-851.
Winner of Student Paper Award (ASA SLDS Section, 2017)
Wang, Y., Bi, X. and Qu, A. (2020). A logistic factorization model for recommender systems with multinomial responses. Journal of Computational and Graphical Statistics, 29, 396-404.
Bi, X., Feng, L., Wang, S., Lin, Z., Li, T., Zhao, B., Zhu, H. and Zhang, H. (2019). Common genetic variants have associations with human cortical brain regions and risk of schizophrenia. Genetic Epidemiology, 43, 548-558.
Bi, X. and Qu, A. (2018). A mixed-effects estimating equation approach to nonignorable missing longitudinal data with refreshment samples. Statistica Sinica, 28, 1653-1675. [pdf] [supp]
Bi, X., Qu, A. and Shen, X. (2017). Multilayer tensor factorization with applications to recommender systems. Annals of Statistics, 46, 3308-3333. [pdf][Matlab code]
Zhang, H., Liu, D., Zhao, J. and Bi, X. (2018). Modeling hybrid traits for comorbidity and genetic studies of alcohol and nicotine co-dependence. Annals of Applied Statistics, 12, 2359-2378.
Bi, X., Qu, A., Wang, J. and Shen, X. (2017). A group-specific recommender system. Journal of the American Statistical Association, 112, 1344-1353. [pdf] [supp][R package][Tensorflow code][Matlab code]
Winner of Student Paper Award (ASA SLDS Section, 2016)
Bi, X., Yang, L., Li, T., Wang, B., Zhu, H. and Zhang, H. (2017). Genome-wide mediation analysis of psychiatric and cognitive traits through imaging phenotypes. Human Brain Mapping, 38, 4088-4097. [pdf]
Clark, S. E., Purcell, J. E., Bi, X. and Fortman, J. D. (2017). Cross-foster rederivation compared with antibiotic administration in the drinking water to eradicate bordetella pseudohinzii. Journal of the American Association for Laboratory Animal Science, 56, 1-5. [link]
Liechty, J. M., Bi, X. and Qu, A. (2016). Feasibility and validity of a statistical adjustment to reduce self-reported bias of height and weight in wave 1 of the Add Health Study. BMC Medical Research Methodology, 16(1): 124. [pdf]
Bi, X. and Qu, A. (2015). Sufficient dimension reduction for longitudinal data. Statistica Sinica, 25, 787-807. [pdf] [supp]
*Equal contribution