| Achalasia: incidence, prevalence and survival. A population‐based study DC Sadowski, F Ackah, B Jiang, LW Svenson Neurogastroenterology & Motility 22 (9), e256-e261, 2010 | 467 | 2010 |
| Negative log likelihood ratio loss for deep neural network classification H Yao, D Zhu, B Jiang, P Yu Proceedings of the Future Technologies Conference (FTC) 2019: Volume 1, 276-282, 2020 | 98 | 2020 |
| Meta-har: Federated representation learning for human activity recognition C Li, D Niu, B Jiang, X Zuo, J Yang Proceedings of the web conference 2021, 912-922, 2021 | 74 | 2021 |
| Learning privately over distributed features: An ADMM sharing approach DN Yaochen Hu, Keshi Ge, Peng Liu, Linglong Kong, Bei Jiang NeurIPS-SpicyFL 2020, 2020 | 35* | 2020 |
| Advanced algorithms for penalized quantile and composite quantile regression M Pietrosanu, J Gao, L Kong, B Jiang, D Niu Computational Statistics 36 (1), 333-346, 2021 | 29 | 2021 |
| Statistical analysis plan for stage 1 EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care) study E Petkova, RT Ogden, T Tarpey, A Ciarleglio, B Jiang, Z Su, T Carmody, ... Contemporary clinical trials communications 6, 22-30, 2017 | 29 | 2017 |
| Sparse wavelet estimation in quantile regression with multiple functional predictors D Yu, L Zhang, I Mizera, B Jiang, L Kong Computational statistics & data analysis 136, 12-29, 2019 | 27 | 2019 |
| Under‐reporting of compensable mesothelioma in Alberta MW Cree, M Lalji, B Jiang, KC Carriere American journal of industrial medicine 52 (7), 526-533, 2009 | 26 | 2009 |
| Word embeddings via causal inference: Gender bias reducing and semantic information preserving L Ding, D Yu, J Xie, W Guo, S Hu, M Liu, L Kong, H Dai, Y Bao, B Jiang Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 11864 …, 2022 | 21 | 2022 |
| Wavelet-based LASSO in functional linear quantile regression Y Wang, L Kong, B Jiang, X Zhou, S Yu, L Zhang, G Heo Journal of Statistical Computation and Simulation 89 (6), 1111-1130, 2019 | 19 | 2019 |
| Joint modeling of cross‐sectional health outcomes and longitudinal predictors via mixtures of means and variances B Jiang, MR Elliott, MD Sammel, N Wang Biometrics 71 (2), 487-497, 2015 | 19 | 2015 |
| Age‐period‐cohort models using smoothing splines: a generalized additive model approach B Jiang, KC Carriere Statistics in Medicine 33 (4), 595-606, 2014 | 17 | 2014 |
| Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis M Pietrosanu, H Shu, B Jiang, L Kong, G Heo, Q He, J Gilmore, H Zhu Biostatistics 24 (2), 465-480, 2023 | 15* | 2023 |
| Damped Anderson mixing for deep reinforcement learning: Acceleration, convergence, and stabilization K Sun, Y Wang, Y Liu, B Pan, S Jui, B Jiang, L Kong Advances in Neural Information Processing Systems 34, 3732-3743, 2021 | 14 | 2021 |
| Modelling short-and long-term characteristics of follicle stimulating hormone as predictors of severe hot flashes in the Penn Ovarian Aging Study B Jiang, N Wang, MD Sammel, MR Elliott Journal of the Royal Statistical Society Series C: Applied Statistics 64 (5 …, 2015 | 13 | 2015 |
| Balancing inferential integrity and disclosure risk via model targeted masking and multiple imputation B Jiang, AE Raftery, RJ Steele, N Wang Journal of the American Statistical Association 117 (537), 52-66, 2021 | 12 | 2021 |
| A Bayesian approach to joint modeling of matrix-valued imaging data and treatment outcome with applications to depression studies B Jiang, E Petkova, T Tarpey, RT Ogden Biometrics 76 (1), 87-97, 2020 | 12 | 2020 |
| Prediction of truck productivity at mine sites using tree-based ensemble models combined with Gaussian mixture modelling C Fan, N Zhang, B Jiang, WV Liu International Journal of Mining, Reclamation and Environment 37 (1), 66-86, 2023 | 11 | 2023 |
| Measuring re-identification risk using a synthetic estimator to enable data sharing Y Jiang, L Mosquera, B Jiang, L Kong, K El Emam PLoS One 17 (6), e0269097, 2022 | 11 | 2022 |
| A method for generating synthetic longitudinal health data L Mosquera, K El Emam, L Ding, V Sharma, XH Zhang, SE Kababji, ... BMC Medical Research Methodology 23 (1), 67, 2023 | 10 | 2023 |
Linglong KongProfessor, Canada Research Chair in Statistical Learning, UAlberta, and Canada CIFAR AI Chair, Amii在 ualberta.ca 的电子邮件经过验证
