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
1552010
Quantile tomography: Using quantiles with multivariate data
L Kong, I Mizera
Statistica Sinica 22, 1589-1610, 2012
1162012
Multivariate varying coefficient model for functional responses
H Zhu, R Li, L Kong
Annals of statistics 40 (5), 2634, 2012
104*2012
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
702014
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
672011
Smooth depth contours characterize the underlying distribution
L Kong, Y Zuo
Journal of Multivariate Analysis 101 (9), 2222-2226, 2010
412010
Utilization of health research in acute care settings in alberta technical report
CA Estabrooks, JE Squires, AM Adachi, L Kong, PG Norton
Edmonton: Faculty of Nursing, University of Alberta, 2008
38*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
252013
Partial functional linear quantile regression for neuroimaging data analysis
D Yu, L Kong, I Mizera
Neurocomputing 195, 74-87, 2016
212016
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
142019
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
13*2017
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
132009
Distributional reinforcement learning for efficient exploration
B Mavrin, S Zhang, H Yao, L Kong, K Wu, Y Yu
arXiv preprint arXiv:1905.06125, 2019
11*2019
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
112014
Context and Research Use in the Care of Children: A Pilot Study
AM Hutchinson, AM Adachi, L Kong, CA Estabrooks, B Stevens
112008
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
92016
QUOTA: The quantile option architecture for reinforcement learning
S Zhang, H Yao
Proceedings of the AAAI Conference on Artificial Intelligence 33, 5797-5804, 2019
82019
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
82016
Local region sparse learning for image-on-scalar regression
Y Chen, X Wang, L Kong, H Zhu
arXiv preprint arXiv:1605.08501, 2016
82016
Multivariate varying coefficient models for DTI tract statistics
H Zhu, M Styner, Y Li, L Kong, Y Shi, W Lin, C Coe, JH Gilmore
International Conference on Medical Image Computing and Computer-Assisted …, 2010
72010
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