Faculty profile
Bei Jiang
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Alberta directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Regularized Tensor Quantile Regression With Applications to Neuroimaging Data Analysis.
Statistics in medicine · 2026
Personalized treatment design in the context of functional confounding.
Biometrics · 2026
Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning.
Advances in neural information processing systems · 2025
Latest funding
- $81,000
Novel Statistical Integration Methods for Multi-View Data
NSERC · 2022 · Principal investigator
- $250,000
Using machine learning methods to predict truck productivity in oil sands mining
NSERC · 2021 · Co-investigator
- $460,000
BIAS: Responsible AI for Labour Market Equality
SSHRC · 2019 · Co-investigator
21 publications.
Regularized Tensor Quantile Regression With Applications to Neuroimaging Data Analysis.
Pietrosanu M, Yu D, Mizera I, Jiang B, Kong L
Personalized treatment design in the context of functional confounding.
Yang Z, Sang P, Han Y, Jiang B, Kong L, Zhou X
Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning.
Sun K, Zhao Y, Shi E, Wang Y, Yan X, Jiang B, Kong L
Language in job advertisements and the reproduction of labor force gender and racial segregation.
Hu Y, Denier N, Ding L, Tarafdar M, Konnikov A, Hughes KD, Hu S, Knowles B, Shi E, AAlshehabi L-Ani J, Rets I, Kong L, Yu D, Dai H, Jiang B
A Bayesian joint model for mediation analysis with matrix-valued mediators.
Liu Z, Liu ZA, Hosni A, Kim J, Jiang B, Saarela O
Fast Fusion Clustering via Double Random Projection.
Wang H, Li N, Zhou Y, Yan J, Jiang B, Kong L, Yan X
Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis.
Pietrosanu M, Shu H, Jiang B, Kong L, Heo G, He Q, Gilmore J, Zhu H
A method for generating synthetic longitudinal health data.
Mosquera L, El Emam K, Ding L, Sharma V, Zhang XH, Kababji SE, Carvalho C, Hamilton B, Palfrey D, Kong L, Jiang B, Eurich DT
Measuring re-identification risk using a synthetic estimator to enable data sharing.
Jiang Y, Mosquera L, Jiang B, Kong L, El Emam K
Low-Rank Plus Sparse Decomposition of fMRI Data With Application to Alzheimer's Disease.
Tu W, Fu F, Kong L, Jiang B, Cobzas D, Huang C
Novel Statistical Integration Methods for Multi-View Data
Principal investigators: Jiang, Bei
Keywords: multi-view data; statistical integration methods; tensor-variate data; missing data; bayesian methods; joint modeling; bayesian additive regression trees
Using machine learning methods to predict truck productivity in oil sands mining
Principal investigators: Liu, Wei Victor WV
Keywords: machine learning; oil sands mining; truck productivity
BIAS: Responsible AI for Labour Market Equality
Principal investigators: Kong, Linglong
New statistical methods for functional and array-valued brain imaging data: joint modelling and statistical machine learning perspectives
Principal investigators: Jiang, Bei
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Linglong Kong and Bei Jiang: 12 shared papers
- Christopher Power and Fabrizio Giuliani: 4 shared papers
- Christopher Power and Linglong Kong: 4 shared papers
- Yan Yuan and Linglong Kong: 3 shared papers
- Khaled El Emam and Linglong Kong: 3 shared papers
- John Kim and Olli Saarela: 2 shared papers
- Khaled El Emam and Bei Jiang: 2 shared papers
- Linglong Kong and Dana Cobzas: 2 shared papers
- Linglong Kong and Yafei Wang: 2 shared papers
- Linglong Kong and Nicole Denier: 2 shared papers
- Bei Jiang and Yafei Wang: 2 shared papers
- Bei Jiang and Nicole Denier: 2 shared papers
- Nicole Letourneau and Yan Yuan: 1 shared paper
- Nicole Letourneau and Linglong Kong: 1 shared paper
- Nicole Letourneau and Bei Jiang: 1 shared paper
- Christopher Power and Bei Jiang: 1 shared paper
- Christopher Power and Wei Tu: 1 shared paper
- Christopher Power and Yafei Wang: 1 shared paper
- Yan Yuan and Bei Jiang: 1 shared paper
- John Kim and Bei Jiang: 1 shared paper
- Fabrizio Giuliani and Bei Jiang: 1 shared paper
- Mahesh Kate and Bei Jiang: 1 shared paper
- Giseon Heo and Linglong Kong: 1 shared paper
- Giseon Heo and Bei Jiang: 1 shared paper
- Olli Saarela and Bei Jiang: 1 shared paper
- Peijun Sang and Linglong Kong: 1 shared paper
- Peijun Sang and Bei Jiang: 1 shared paper
- Linglong Kong and Ivan Mizera: 1 shared paper
- Linglong Kong and Wei Tu: 1 shared paper
- Ivan Mizera and Bei Jiang: 1 shared paper
- Bei Jiang and Dana Cobzas: 1 shared paper
- Bei Jiang and Wei Tu: 1 shared paper
- Dana Cobzas and Wei Tu: 1 shared paper
- Department of Mathematical and Statistical Sciences
- Mathematical and Statistical Sciences
- Medicine/Neurology
- Pediatrics
- Sociology
- Computing Science
- Mike Petryk School of Dentistry
- Other
Co-authors at University of Alberta, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Linglong Kong
Mathematical and Statistical Sciences
12 shared papers, latest 2026
Yafei Wang
Department of Mathematical and Statistical Sciences
2 shared papers, latest 2025
Nicole Denier
Sociology
2 shared papers, latest 2024
Khaled El Emam
Pediatrics
2 shared papers, latest 2023
Dana Cobzas
Computing Science
1 shared papers, latest 2022
Wei Tu
Public Health Sciences
1 shared papers, latest 2022
Yan Yuan
School of Public Health
1 shared papers, latest 2022
John Kim
Neuropsychology
1 shared papers, latest 2024
Fabrizio Giuliani
Medicine/Neurology
1 shared papers, latest 2021
Mahesh Kate
Medicine
1 shared papers, latest 2020
Giseon Heo
Mike Petryk School of Dentistry
1 shared papers, latest 2023
Olli Saarela
Biostatistics Division
1 shared papers, latest 2024
Peijun Sang
Department of Statistics and Actuarial Science
1 shared papers, latest 2026
Nicole Letourneau
Department of Pediatrics
1 shared papers, latest 2022
Ivan Mizera
Mathematical and Statistical Sciences
1 shared papers, latest 2026
Christopher Power
Medicine/Neurology
1 shared papers, latest 2020
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