Faculty profile
Linglong Kong
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
Bilateral microstructural changes in the trigeminal nerve in classical trigeminal neuralgia.
The journal of pain · 2026
Muscular torque variability in Parkinson's Disease with and without dopaminergic medication.
Neurophysiologie clinique = Clinical neurophysiology · 2026
Regularized Tensor Quantile Regression With Applications to Neuroimaging Data Analysis.
Statistics in medicine · 2026 · senior author
Latest funding
- $44,000
Novel Statistical Estimation and Inference under Local Differential Privacy
NSERC · 2024 · Principal investigator
- $3,461,244
Canadian Statistical Sciences Institute
NSERC · 2022 · Co-investigator
- $929,475
Understanding and predicting response to surgery for Trigeminal Neuralgia
CIHR · 2022 · Co-investigator
32 publications.
Bilateral microstructural changes in the trigeminal nerve in classical trigeminal neuralgia.
Ayri A, Danyluk H, Dhillon A, Beaulieu C, Xie H, Yang Z, Kong L, Sankar T
Muscular torque variability in Parkinson's Disease with and without dopaminergic medication.
Afsharipour B, Roy FD, Xie H, Schindle M, Ba F, Kong L, Gorassini M, Sankar T
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
Leveraging natural language processing and machine learning to identify chronic conditions from primary care electronic medical records.
Zhang N, Abbasi M, Khera S, Bazrafkan M, Abbasi-Dezfouly R, Kong L
A consensus privacy metrics framework for synthetic data.
Pilgram L, Dankar FK, Drechsler J, Elliot M, Domingo-Ferrer J, Francis P, Kantarcioglu M, Kong L, Malin B, Muralidhar K, Myles P, Prasser F, Raisaro JL, Yan C, El Emam K
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
Fast Fusion Clustering via Double Random Projection.
Wang H, Li N, Zhou Y, Yan J, Jiang B, Kong L, Yan X
An investigation into the relationship between community engagement and maternal mental health in Calgary, Alberta using the All Our Families cohort.
Benny C, Pietrosanu M, Lowe SAJ, Yamamoto SS, Kong L, McDonald S, Pabayo R
Novel Statistical Estimation and Inference under Local Differential Privacy
Principal investigators: Kong, Linglong
Keywords: statistical estimation and inference; local differential privacy; quantile estimate; cumulative distribution function; asymptotical properties; computational algorithms; self-normalization; non-asymptotic properties; relative difference; survival data analysis
Canadian Statistical Sciences Institute
Principal investigators: Estep, Donald DJ
Keywords: actuarial science; biostatistics; collaboration; data science; interdisciplinary; multidisciplinary; research; statistics
Understanding and predicting response to surgery for Trigeminal Neuralgia
Principal investigators: Sankar, Tejas
Keywords: Biomarker; Chronic Pain; Magnetic Resonance Imaging; Mri; Neuroimaging; Neurosurgery; Prediction; Prognosis; Quantitative Sensory Testing; Trigeminal Neuralgia
Pyroptosis in the CNS: Molecular mechanisms & therapeutic targets in progressive MS
Principal investigators: Power, Christopher
Keywords: Multiple Sclerosis; Neuroinflammation; Pet Imaging; Pyroptosis; Regulated Cell Death; Therapeutics
Canadian Statistical Sciences Institute DIS Bridge Funding Proposal
Principal investigators: Estep, Donald
Statistical Learning
Principal investigators: Kong, Linglong
BIAS: Responsible AI for Labour Market Equality
Principal investigators: Kong, Linglong
Statistical Learning
Principal investigators: Kong, Linglong
Keywords: Neuroimaging data analysis; diffusion tensor imaging; ; magnetic resonance imaging; functional data analysis; ; Data integration; Imaging genetics; big data; complex data; ; Statistical learning
Novel Statistical Methods in Functional and Brain Imaging Data Analysis
Principal investigators: Kong, Linglong
Robust estimation of treatment effects in high-dimensional heterogenous data with application to e-commerce
Principal investigators: Kong, Linglong
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
- Christopher Power and Esther Fujiwara: 14 shared papers
- Linglong Kong and Bei Jiang: 12 shared papers
- Tejas Sankar and Fang Ba: 10 shared papers
- Christian Beaulieu and Tejas Sankar: 5 shared papers
- Christopher Power and Linglong Kong: 4 shared papers
- Nicole Letourneau and Sheila McDonald: 3 shared papers
- Yan Yuan and Linglong Kong: 3 shared papers
- Sheila McDonald and Roman Pabayo: 3 shared papers
- Khaled El Emam and Linglong Kong: 3 shared papers
- Tejas Sankar and Linglong Kong: 3 shared papers
- Jérôme Estaquier and Christopher Power: 2 shared papers
- Christian Beaulieu and Fang Ba: 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
- Jérôme Estaquier and Linglong Kong: 1 shared paper
- Christopher Power and Wei Tu: 1 shared paper
- Christopher Power and Yafei Wang: 1 shared paper
- Monica Gorassini and Tejas Sankar: 1 shared paper
- Monica Gorassini and Linglong Kong: 1 shared paper
- Monica Gorassini and Fang Ba: 1 shared paper
- Christian Beaulieu and Esther Fujiwara: 1 shared paper
- Christian Beaulieu and Linglong Kong: 1 shared paper
- Christian Beaulieu and Dana Cobzas: 1 shared paper
- Yan Yuan and Bei Jiang: 1 shared paper
- Sheila McDonald and Linglong Kong: 1 shared paper
- Esther Fujiwara and Linglong Kong: 1 shared paper
- Esther Fujiwara and Wei Tu: 1 shared paper
- Roman Pabayo and Linglong Kong: 1 shared paper
- Giseon Heo and Linglong Kong: 1 shared paper
- Giseon Heo 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
- Linglong Kong and Fang Ba: 1 shared paper
- Ivan Mizera and Bei Jiang: 1 shared paper
- Bei Jiang and Dana Cobzas: 1 shared paper
- Mathematical and Statistical Sciences
- Department of Mathematical and Statistical Sciences
- Biomedical Engineering
- Medicine/Neurology
- Pediatrics
- Neurosurgery
- School of Public Health
- 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.
Bei Jiang
Department of Mathematical and Statistical Sciences
12 shared papers, latest 2026
Christopher Power
Medicine/Neurology
4 shared papers, latest 2023
Yan Yuan
School of Public Health
3 shared papers, latest 2022
Tejas Sankar
Neurosurgery
3 shared papers, latest 2026
Khaled El Emam
Pediatrics
3 shared papers, latest 2025
Nicole Denier
Sociology
2 shared papers, latest 2024
Yafei Wang
Department of Mathematical and Statistical Sciences
2 shared papers, latest 2025
Dana Cobzas
Computing Science
2 shared papers, latest 2022
Fang Ba
Clinical sciences
1 shared papers, latest 2026
Wei Tu
Public Health Sciences
1 shared papers, latest 2022
Ivan Mizera
Mathematical and Statistical Sciences
1 shared papers, latest 2026
Sheila McDonald
Department of Community Health Sciences
1 shared papers, latest 2024
Esther Fujiwara
Medicine
1 shared papers, latest 2020
Roman Pabayo
Demography
1 shared papers, latest 2024
Christopher Power
Medicine
1 shared papers, latest 2018
Giseon Heo
Mike Petryk School of Dentistry
1 shared papers, latest 2023
Nicole Letourneau
Department of Pediatrics
1 shared papers, latest 2022
Peijun Sang
Department of Statistics and Actuarial Science
1 shared papers, latest 2026
Jérôme Estaquier
Microbiologie et immunologie
1 shared papers, latest 2023
Monica Gorassini
Biomedical Engineering
1 shared papers, latest 2026
Christian Beaulieu
Biomedical Engineering
1 shared papers, latest 2026
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