Lizhen Lin

Lizhen Lin

University of Notre Dame

H-index: 21

North America-United States

About Lizhen Lin

Lizhen Lin, With an exceptional h-index of 21 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Notre Dame, specializes in the field of Geometry and Statistics, Bayesian nonparametrics, Statistics on manifolds, Network Analysis, Geometric Deep Learning.

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

Emerging Directions in Bayesian Computation

Adaptive variational Bayes: Optimality, computation and applications

Intrinsic and extrinsic deep learning on manifolds

Bayesian community detection for networks with covariates

Bayesian Optimal Two-Sample Tests for High-Dimensional Gaussian Populations

A likelihood approach to nonparametric estimation of a singular distribution using deep generative models

Optimal bayesian estimation of gaussian mixtures with growing number of components

Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome

Lizhen Lin Information

University

Position

Department of Applied and Computational Mathematics and Statistics The

Citations(all)

1372

Citations(since 2020)

1006

Cited By

753

hIndex(all)

21

hIndex(since 2020)

17

i10Index(all)

31

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Lizhen Lin Skills & Research Interests

Geometry and Statistics

Bayesian nonparametrics

Statistics on manifolds

Network Analysis

Geometric Deep Learning

Top articles of Lizhen Lin

Emerging Directions in Bayesian Computation

2024/2

Lizhen Lin
Lizhen Lin

H-Index: 14

Sanvesh Srivastava
Sanvesh Srivastava

H-Index: 9

Adaptive variational Bayes: Optimality, computation and applications

The Annals of Statistics

2024/2

Lizhen Lin
Lizhen Lin

H-Index: 14

Intrinsic and extrinsic deep learning on manifolds

Electronic Journal of Statistics

2024

Bayesian community detection for networks with covariates

Bayesian Analysis

2024/1

Bayesian Optimal Two-Sample Tests for High-Dimensional Gaussian Populations

Bayesian Analysis

2023/1

A likelihood approach to nonparametric estimation of a singular distribution using deep generative models

Journal of Machine Learning Research

2023

Optimal bayesian estimation of gaussian mixtures with growing number of components

Bernoulli

2023

Lizhen Lin
Lizhen Lin

H-Index: 14

Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome

The Annals of Applied Statistics

2023/3

Hierarchical stochastic block model for community detection in multiplex networks

Bayesian Analysis

2023

Lizhen Lin
Lizhen Lin

H-Index: 14

Nested stochastic block model for simultaneously clustering networks and nodes

arXiv preprint arXiv:2307.09210

2023/7/18

Nathaniel Josephs
Nathaniel Josephs

H-Index: 2

Lizhen Lin
Lizhen Lin

H-Index: 14

Hypothesis testing for populations of networks

Communications in Statistics-Theory and Methods

2023/6/3

A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks

arXiv preprint arXiv:2303.02637

2023/3/5

Lizhen Lin
Lizhen Lin

H-Index: 14

A semi-Bayesian nonparametric hypothesis test using maximum mean discrepancy with applications in generative adversarial networks

arXiv e-prints

2023/3

Lizhen Lin
Lizhen Lin

H-Index: 14

Scalable Bayesian high-dimensional local dependence learning

Bayesian Analysis

2023/3

Kyoungjae Lee
Kyoungjae Lee

H-Index: 5

Lizhen Lin
Lizhen Lin

H-Index: 14

Extrinsic Bayesian Optimization on Manifolds

Algorithms

2023/2/15

Yihao Fang
Yihao Fang

H-Index: 2

Lizhen Lin
Lizhen Lin

H-Index: 14

Bayesian nonparametric latent class analysis for different item types

Multivariate Behavioral Research

2023/1/2

A Bayesian sparse factor model with adaptive posterior concentration

Bayesian Analysis

2023/1

Lizhen Lin
Lizhen Lin

H-Index: 14

Yongdai Kim
Yongdai Kim

H-Index: 20

A topological characterization of dna sequences based on chaos geometry and persistent homology

2022/12/14

Lizhen Lin
Lizhen Lin

H-Index: 14

Package ‘SHT’

2022/11/3

Learning Subspaces of Different Dimensions

Journal of Computational and Graphical Statistics

2022/4/3

See List of Professors in Lizhen Lin University(University of Notre Dame)

Co-Authors

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