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Linglong Kong
Linglong Kong
Professor, Canada Research Chair in Statistical Learning, UAlberta, and Canada CIFAR AI Chair, Amii
Verified email at ualberta.ca - Homepage
Title
Cited by
Cited by
Year
MULTIVARIATE QUANTILES AND MULTIPLE-OUTPUT REGRESSION QUANTILES: FROM L ₁ OPTIMIZATION TO HALFSPACE DEPTH [with Discussion and Rejoinder]
M Hallin, D Paindaveine, M Šiman, Y Wei, R Serfling, Y Zuo, L Kong, ...
The Annals of Statistics, 635-703, 2010
2192010
Quantile tomography: Using quantiles with multivariate data
L Kong, I Mizera
Statistica Sinica 22, 1589-1610, 2012
1562012
Multivariate varying coefficient model for functional responses
H Zhu, R Li, L Kong
Annals of statistics 40 (5), 2634, 2012
1192012
Spatially varying coefficient model for neuroimaging data with jump discontinuities
H Zhu, J Fan, L Kong
Journal of the American Statistical Association 109 (507), 1084-1098, 2014
1002014
FADTTS: functional analysis of diffusion tensor tract statistics
H Zhu, L Kong, R Li, M Styner, G Gerig, W Lin, JH Gilmore
NeuroImage 56 (3), 1412-1425, 2011
832011
Distributional reinforcement learning for efficient exploration
B Mavrin, S Zhang, H Yao, L Kong, K Wu, Y Yu
Proceedings of the Thirty-sixth International Conference on Machine Learning, 2019
612019
Discussion of "Multivariate quantiles and multiple-output regression quantiles: From optimization to halfspace depth"
L Kong, I Mizera
arXiv preprint arXiv:1002.4509, 2010
52*2010
Smooth depth contours characterize the underlying distribution
L Kong, Y Zuo
Journal of Multivariate Analysis 101 (9), 2222-2226, 2010
482010
Partial functional linear quantile regression for neuroimaging data analysis
D Yu, L Kong, I Mizera
Neurocomputing 195, 74-87, 2016
472016
A review of statistical methods in imaging genetics
FS Nathoo, L Kong, H Zhu, Alzheimer's Disease Neuroimaging Initiative
Canadian Journal of Statistics 47 (1), 108-131, 2019
432019
Exposure to urban air pollution and bone health in clinically healthy six-year-old children
L Calderón-Garcidueñas, A Mora-Tiscareño, M Franco-Lira, ...
Arhiv za higijenu rada i toksikologiju 64 (1), 23-23, 2013
422013
Growing story forest online from massive breaking news
B Liu, D Niu, K Lai, L Kong, Y Xu
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
40*2017
Learning privately over distributed features: An ADMM sharing approach
Y Hu, K Ge, P Liu, L Kong, B Jiang, D Niu
NeurIPS-SpicyFL 2020, 2020
29*2020
Utilization of health research in acute care settings in Alberta
CA Estabrooks, JE Squires, AM Adachi, L Kong, PG Norton
Tech. Rep., Faculty of Nursing, University of Alberta, Edmonton, Canada, 2008
29*2008
Story Forest: Extracting Events and Telling Stories from Breaking News
B LIU, FX HAN, DI NIU, L KONG, K LAI
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (3), Article 31, 2020
252020
QUOTA: The quantile option architecture for reinforcement learning
S Zhang, B Mavrin, L Kong, B Liu, H Yao
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5797-5804, 2019
232019
Association of pre-pregnancy BMI and gestational weight gain with fat mass distribution and accretion during pregnancy and early postpartum: a prospective study of Albertan women
FB Subhan, L Shulman, Y Yuan, LJ McCargar, L Kong, RC Bell
BMJ open 9 (7), e026908, 2019
232019
A general framework for quantile estimation with incomplete data
P Han, L Kong, J Zhao, X Zhou
Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2019
232019
HIV-associated sensory polyneuropathy and neuronal injury are associated with miRNA–455-3p induction
EL Asahchop, WG Branton, A Krishnan, PA Chen, D Yang, L Kong, ...
JCI insight 3 (23), 2018
232018
Regularized quantile regression under heterogeneous sparsity with application to quantitative genetic traits
Q He, L Kong, Y Wang, S Wang, TA Chan, E Holland
Computational statistics & data analysis 95, 222-239, 2016
212016
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