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Didong Li
Didong Li
Assistant Professor, Department of Biostatistics, Gillings School of Global Public Health, UNC
Verified email at unc.edu - Homepage
Title
Cited by
Cited by
Year
2D Dubins path in environments with obstacle
D Yang, D Li, H Sun
Mathematical Problems in Engineering 2013, 2013
332013
Efficient manifold approximation with spherelets
D Li, M Mukhopadhyay, DB Dunson
Journal of the Royal Statistical Society Series B 84 (4), 1129-1149, 2022
292022
Geodesic distance estimation with spherelets
D Li, DB Dunson
arXiv preprint arXiv:1907.00296, 2019
282019
Alignment of spatial genomics data using deep Gaussian processes
A Jones, FW Townes, D Li, BE Engelhardt
Nature Methods 20 (9), 1379-1387, 2023
22*2023
Probabilistic contrastive principal component analysis
D Li, A Jones, B Engelhardt
arXiv preprint arXiv:2012.07977, 2020
182020
Contrastive latent variable modeling with application to case-control sequencing experiments
A Jones, FW Townes, D Li, BE Engelhardt
The Annals of Applied Statistics 16 (3), 1268-1291, 2022
152022
Estimating densities with nonlinear support using Fisher-Gaussian kernels
M Mukhopadhyay, D Li, DB Dunson
Journal of Royal Statistical Society: Series B 82 (5), 1249-1271, 2020
142020
Classification via local manifold approximation
D Li, DB Dunson
Biometrika 107 (4), 1013-1020, 2020
112020
Inference for Gaussian processes with Matérn covariogram on compact Riemannian manifolds
D Li, W Tang, S Banerjee
Journal of Machine Learning Research 24 (101), 1-26, 2023
82023
Exponential-wrapped distributions on symmetric spaces
E Chevallier, D Li, Y Lu, D Dunson
SIAM Journal on Mathematics of Data Science 4 (4), 1347-1368, 2022
8*2022
Efficient Weingarten map and curvature estimation on manifolds
Y Cao, D Li, H Sun, AH Assadi, S Zhang
Machine Learning 110 (6), 1319-1344, 2021
8*2021
Multi-group Gaussian processes
D Li, A Jones, S Banerjee, BE Engelhardt
arXiv preprint arXiv:2110.08411, 2021
72021
From the Greene--Wu Convolution to Gradient Estimation over Riemannian Manifolds
T Wang, Y Huang, D Li
arXiv preprint arXiv:2108.07406, 2021
72021
Absolute Winding Number Differentiates Mouse Spatial Navigation Strategies With Genetic Risk for Alzheimer’s Disease
A Badea, D Li, AR Niculescu, RJ Anderson, JA Stout, CL Williams, ...
Frontiers in neuroscience 16, 848654, 2022
6*2022
Hierarchical Gaussian processes and mixtures of experts to model Covid-19 patient trajectories
S Cui, EC Yoo, D Li, K Laudanski, BE Engelhardt
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2022, 266-277, 2021
52021
Principal Ellipsoid Analysis (PEA): Efficient non-linear dimension reduction & clustering
D Paul, S Chakraborty, D Li, D Dunson
arXiv preprint arXiv:2008.07110, 2020
52020
A statistical cohomogeneity one metric on the upper plane with constant negative curvature
L Cao, D Li, E Zhang, Z Zhang, H Sun
Advances in Mathematical Physics 2014, 2014
52014
Spherical rotation dimension reduction with geometric loss functions
H Luo, JE Purvis, D Li
arXiv preprint arXiv:2204.10975, 2022
32022
A geodesic-based Riemannian gradient approach to averaging on the Lorentz group
J Wang, H Sun, D Li
Entropy 19 (12), 698, 2017
32017
Efficient Bayesian Inverse Reinforcement Learning via Conditional Kernel Density Estimation
A Mandyam, D Li, D Cai, A Jones, B Engelhardt
Fourth Symposium on Advances in Approximate Bayesian Inference, 2022
22022
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Articles 1–20