Multilayer tensor factorization with applications to recommender systems X Bi, A Qu, X Shen Annals of Statistics 46 (6B), 3308-3333, 2018 | 65 | 2018 |
Tensors in Statistics X Bi, X Tang, Y Yuan, Y Zhang, A Qu Annual Review of Statistics and Its Application 8, 345-368, 2021 | 44 | 2021 |
A group-specific recommender system X Bi, A Qu, J Wang, X Shen Journal of the American Statistical Association 112 (519), 1344-1353, 2017 | 38 | 2017 |
Dynamic tensor recommender systems Y Zhang, X Bi, N Tang, A Qu Journal of Machine Learning Research 22 (65), 1-35, 2021 | 29 | 2021 |
Genome-wide mediation analysis of psychiatric and cognitive traits through imaging phenotypes X Bi, L Yang, T Li, B Wang, H Zhu, H Zhang Human Brain Mapping 38 (8), 4088-4097, 2017 | 26 | 2017 |
Individualized Multilayer Tensor Learning with An Application in Imaging Analysis X Tang, X Bi, A Qu Journal of the American Statistical Association 115 (530), 836-851, 2020 | 23 | 2020 |
Sufficient dimension reduction for longitudinal data X Bi, A Qu Statistica Sinica 25 (2), 787-807, 2015 | 10 | 2015 |
Brain Regions Identified as Being Associated with Verbal Reasoning through the Use of Imaging Regression via Internal Variation L Feng, X Bi, H Zhang Journal of the American Statistical Association, 2020 | 8 | 2020 |
Cross-Foster rederivation compared with antibiotic administration in the drinking water to eradicate Bordetella pseudohinzii SE Clark, JE Purcell, X Bi, JD Fortman Journal of the American Association for Laboratory Animal Science 56 (1), 47-51, 2017 | 8 | 2017 |
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness X Bi, G Adomavicius, W Li, A Qu INFORMS Journal on Computing 34 (3), 1644-1660, 2022 | 6 | 2022 |
Feasibility and validity of a statistical adjustment to reduce self-report bias of height and weight in wave 1 of the Add Health study JM Liechty, X Bi, A Qu BMC Medical Research Methodology 16 (1), 124, 2016 | 6 | 2016 |
Modeling Hybrid Traits for Comorbidity and Genetic Studies of Alcohol and Nicotine Co-Dependence H Zhang, D Liu, J Zhao, X Bi Annals of Applied Statistics 12 (4), 2359-2378, 2018 | 5 | 2018 |
Distribution-invariant differential privacy X Bi, X Shen Journal of Econometrics, 2022 | 4 | 2022 |
Supplement to “Modeling hybrid traits for comorbidity and genetic studies of alcohol and nicotine co-dependence.” H Zhang, D Liu, J Zhao, X Bi DOI, 2018 | 3 | 2018 |
A logistic factorization model for recommender systems with multinomial responses Y Wang, X Bi, A Qu Journal of Computational and Graphical Statistics 29 (2), 396-404, 2020 | 2 | 2020 |
Understanding backdoor attacks through the adaptability hypothesis X Xian, G Wang, J Srinivasa, A Kundu, X Bi, M Hong, J Ding International Conference on Machine Learning (ICML), 2023 | 1 | 2023 |
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective Y Travadi, L Peng, X Bi, J Sun, M Yang Statistics and Its Interface, 2023 | 1 | 2023 |
Consumer acquisition for recommender systems: A theoretical framework and empirical evaluations X Bi, M Yang, G Adomavicius Information Systems Research, 2023 | 1 | 2023 |
Common Genetic Variants Have Associations with Human Cortical Brain Regions and Risk of Schizophrenia X Bi, L Feng, S Wang, Z Lin, T Li, B Zhao, H Zhu, H Zhang Genetic Epidemiology 43 (5), 548-558, 2019 | 1 | 2019 |
A mixed effects estimating equation approach to nonignorable missing longitudinal data with refreshment samples X Bi, A Qu Statistica Sinica 28 (4), 1653-1675, 2018 | 1 | 2018 |