| Achalasia: incidence, prevalence and survival. A population‐based study DC Sadowski, F Ackah, B Jiang, LW Svenson Neurogastroenterology & Motility 22 (9), e256-e261, 2010 | 402 | 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 | 51 | 2020 |
| Learning privately over distributed features: An ADMM sharing approach DN Yaochen Hu, Keshi Ge, Peng Liu, Linglong Kong, Bei Jiang NeurIPS-SpicyFL 2020, 2020 | 26* | 2020 |
| 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 | 25 | 2017 |
| 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 | 24 | 2009 |
| 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 | 22 | 2021 |
| 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 | 20 | 2019 |
| Advanced algorithms for penalized quantile and composite quantile regression M Pietrosanu, J Gao, L Kong, B Jiang, D Niu Computational Statistics 36, 333-346, 2021 | 19 | 2021 |
| 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 | 17 | 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 | 16 | 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, kxab031, 2021 | 13* | 2021 |
| Modeling Short-and long-term characteristics of follicle stimulating hormone as predictors of severe hot flashes in 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 |
| 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 | 11 | 2019 |
| Explaining Alberta’s rising mesothelioma rates M Cree, M Lalji, B Jiang, KC Carriere, J Beach, A Kamruzzaman Chronic Dis Can 29 (4), 144-152, 2009 | 9 | 2009 |
| 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 | 7 | 2020 |
| 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 | 6 | 2021 |
| Latent class modeling using matrix covariates with application to identifying early placebo responders based on eeg signals B Jiang, E Petkova, T Tarpey, RT Ogden The annals of applied statistics 11 (3), 1513, 2017 | 6 | 2017 |
| Achalasia: incidences, prevalence and survival DC Sandowoski, F Ackah, B Jiang, LW Svenson A population based study. Neurogastroenterol Motil 22, 256-261, 2010 | 5 | 2010 |
| 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 | 4 | 2022 |
| Balancing gender bias in job advertisements with text-level bias mitigation S Hu, JA Al-Ani, KD Hughes, N Denier, A Konnikov, L Ding, J Xie, Y Hu, ... Frontiers in big Data 5, 1, 2022 | 4 | 2022 |
Linglong KongProfessor, Canada Research Chair in Statistical Learning, UAlberta, and Canada CIFAR AI Chair, AmiiVerified email at ualberta.ca
