Didong Li

Didong Li

Princeton University

H-index: 8

North America-United States

About Didong Li

Didong Li, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Princeton University, specializes in the field of Manifold learning, geometric data analysis, nonparametric Bayes, Gaussian processes, spatial statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

A compromise criterion for weighted least squares estimates

Lower Ricci Curvature for Efficient Community Detection

Gaussian Processes for Time Series with Lead-Lag Effects with applications to biology data

Contrastive linear regression

On the Identifiability and Interpretability of Gaussian Process Models

Tree representations of brain structural connectivity via persistent homology

Alignment of spatial genomics data using deep Gaussian processes

Contrastive inverse regression for dimension reduction

Didong Li Information

University

Position

Department of Computer Science ; Department of Biostatistics UCLA

Citations(all)

217

Citations(since 2020)

207

Cited By

38

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Didong Li Skills & Research Interests

Manifold learning

geometric data analysis

nonparametric Bayes

Gaussian processes

spatial statistics

Top articles of Didong Li

A compromise criterion for weighted least squares estimates

arXiv preprint arXiv:2404.00753

2024/3/31

Lower Ricci Curvature for Efficient Community Detection

arXiv preprint arXiv:2401.10124

2024/1/18

Didong Li
Didong Li

H-Index: 3

Gaussian Processes for Time Series with Lead-Lag Effects with applications to biology data

arXiv preprint arXiv:2401.07400

2024/1/15

Contrastive linear regression

arXiv preprint arXiv:2401.03106

2024/1/6

On the Identifiability and Interpretability of Gaussian Process Models

Advances in Neural Information Processing Systems (NeurIPS)

2023/10/25

Tree representations of brain structural connectivity via persistent homology

Frontiers in Neuroscience

2023/10/13

Alignment of spatial genomics data using deep Gaussian processes

Nature Methods

2023/9

Andrew Jones
Andrew Jones

H-Index: 67

Didong Li
Didong Li

H-Index: 3

Contrastive inverse regression for dimension reduction

arXiv preprint arXiv:2305.12287

2023/5/20

Didong Li
Didong Li

H-Index: 3

Optimizing the design of spatial genomic studies

bioRxiv

2023/1/31

Inference for Gaussian processes with Matérn covariogram on compact Riemannian manifolds

Journal of Machine Learning Research

2023

Exponential-wrapped distributions on symmetric spaces

SIAM Journal on Mathematics of Data Science

2022/12/31

Didong Li
Didong Li

H-Index: 3

Yulong Lu
Yulong Lu

H-Index: 9

Contrastive latent variable modeling with application to case-control sequencing experiments

The Annals of Applied Statistics

2022/9

Andrew Jones
Andrew Jones

H-Index: 67

Didong Li
Didong Li

H-Index: 3

Absolute Winding Number Differentiates Mouse Spatial Navigation Strategies With Genetic Risk for Alzheimer’s Disease

Frontiers in neuroscience

2022/6/17

Alexandra Badea
Alexandra Badea

H-Index: 18

Didong Li
Didong Li

H-Index: 3

Spherical rotation dimension reduction with geometric loss functions

arXiv preprint arXiv:2204.10975

2022/4/23

Didong Li
Didong Li

H-Index: 3

Efficient manifold approximation with spherelets

Journal of the Royal Statistical Society Series B

2022/4/12

Didong Li
Didong Li

H-Index: 3

Efficient Bayesian Inverse Reinforcement Learning via Conditional Kernel Density Estimation

2022/1/29

Multi-group Gaussian processes

arXiv preprint arXiv:2110.08411

2021/10/15

From the Greene--Wu Convolution to Gradient Estimation over Riemannian Manifolds

arXiv preprint arXiv:2108.07406

2021/8/17

Tianyu Wang
Tianyu Wang

H-Index: 3

Didong Li
Didong Li

H-Index: 3

Efficient Weingarten map and curvature estimation on manifolds

Machine Learning

2021/6

Hierarchical Gaussian Processes and Mixtures of Experts to Model COVID-19 Patient Trajectories (preprint)

2021

See List of Professors in Didong Li University(Princeton University)

Co-Authors

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