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Didong Li

18 papers hereh-index 10356 citations35 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author10
  • middle author6
  • last author2

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • stat.ME7
  • stat.ML5
  • math.DG2
  • math.ST2
  • cs.LG1
  • math.PR1
same name
  • Didong Li — 6 papers, h 2
  • Didong Li — 6 papers, h 3
  • Didong Li — 6 papers, h 4
  • Didong Li — 3 papers, h 2
  • Didong Li — 2 papers
  • Didong Li — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedEfficient Weingarten Map and Curvature Estimation on Manifolds

13 citations · 72 across the 18 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

stat.ME2019★ 8 cited

Estimating densities with nonlinear support using Fisher-Gaussian kernels

Minerva Mukhopadhyay, Didong Li, David B Dunson

Current tools for multivariate density estimation struggle when the density is concentrated near a nonlinear subspace or manifold. Most approaches require choice of a kernel, with…

math.ST2019★ 13 cited

Geodesic Distance Estimation with Spherelets

Didong Li, David B Dunson

Many statistical and machine learning approaches rely on pairwise distances between data points. The choice of distance metric has a fundamental impact on performance of these proc…

stat.ML2019★ 13 cited

Efficient Weingarten Map and Curvature Estimation on Manifolds

Yueqi Cao, Didong Li, Huafei Sun +2

In this paper, we propose an efficient method to estimate the Weingarten map for point cloud data sampled from manifold embedded in Euclidean space. A statistical model is establis…

stat.ML2019★ 5 cited

Classification via local manifold approximation

Didong Li, David B Dunson

Classifiers label data as belonging to one of a set of groups based on input features. It is challenging to obtain accurate classification performance when the feature distribution…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.