Linglong Kong
Linglong Kong
Associate Professor and Canada Research Chair in Statistical Learning, University of Alberta
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
1822010
Quantile tomography: Using quantiles with multivariate data
L Kong, I Mizera
Statistica Sinica 22, 1589-1610, 2012
1262012
Multivariate varying coefficient model for functional responses
H Zhu, R Li, L Kong
Annals of statistics 40 (5), 2634, 2012
922012
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
782011
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
732014
Smooth depth contours characterize the underlying distribution
L Kong, Y Zuo
Journal of Multivariate Analysis 101 (9), 2222-2226, 2010
452010
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
35*2008
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
312013
Partial functional linear quantile regression for neuroimaging data analysis
D Yu, L Kong, I Mizera
Neurocomputing 195, 74-87, 2016
252016
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
21*2017
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
20*2019
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
202019
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
152016
Examining the role of context in Alzheimer care centers: A pilot study technical report
J Squires, C Estabrooks, L Kong, S Brooker
Edmonton, Alberta: Faculty of Nursing, University of Alberta, 2009
142009
Context and Research Use in the Care of Children: A Pilot Study
AM Hutchinson, AM Adachi, L Kong, CA Estabrooks, B Stevens
14*2008
Clinically relevant reperfusion in acute ischemic stroke: MTT performs better than Tmax and TTP
AL Ford, H An, L Kong, H Zhu, KD Vo, WJ Powers, W Lin, JM Lee
Translational stroke research 5 (3), 415-421, 2014
132014
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
112019
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
112019
House price modeling over heterogeneous regions with hierarchical spatial functional analysis
B Liu, B Mavrin, D Niu, L Kong
2016 IEEE 16th International Conference on Data Mining (ICDM), 1047-1052, 2016
102016
Machine learning models reveal neurocognitive impairment type and prevalence are associated with distinct variables in HIV/AIDS
W Tu, PA Chen, N Koenig, D Gomez, E Fujiwara, MJ Gill, L Kong, ...
Journal of neurovirology 26 (1), 41-51, 2020
92020
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Articles 1–20