Hongkai Zhao

Hongkai Zhao

Duke University

H-index: 48

North America-United States

About Hongkai Zhao

Hongkai Zhao, With an exceptional h-index of 48 and a recent h-index of 27 (since 2020), a distinguished researcher at Duke University, specializes in the field of Mathematics.

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

Deep network approximation: Beyond relu to diverse activation functions

Generalized unsupervised functional map learning for dense correspondence

How much can one learn a partial differential equation from its solution?

A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems

Why Shallow Networks Struggle with Approximating and Learning High Frequency: A Numerical Study

Marchenko–Pastur law with relaxed independence conditions

Scalable Incremental Nonconvex Optimization Approach for Phase Retrieval

Quantitative PAT with simplified PN approximation

Hongkai Zhao Information

University

Position

Professor of Mathematics

Citations(all)

12999

Citations(since 2020)

3346

Cited By

11101

hIndex(all)

48

hIndex(since 2020)

27

i10Index(all)

100

i10Index(since 2020)

70

Email

University Profile Page

Google Scholar

Hongkai Zhao Skills & Research Interests

Mathematics

Top articles of Hongkai Zhao

Deep network approximation: Beyond relu to diverse activation functions

Journal of Machine Learning Research

2024/1/1

Hongkai Zhao
Hongkai Zhao

H-Index: 32

Generalized unsupervised functional map learning for dense correspondence

The Visual Computer

2023/12

Li Han
Li Han

H-Index: 8

Xue Shi
Xue Shi

H-Index: 16

Hongkai Zhao
Hongkai Zhao

H-Index: 32

How much can one learn a partial differential equation from its solution?

Foundations of Computational Mathematics

2023/10/17

A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems

Statistics and Computing

2023/8

Why Shallow Networks Struggle with Approximating and Learning High Frequency: A Numerical Study

arXiv preprint arXiv:2306.17301

2023/6/29

Hongkai Zhao
Hongkai Zhao

H-Index: 32

Yimin Zhong
Yimin Zhong

H-Index: 5

Marchenko–Pastur law with relaxed independence conditions

Random Matrices: Theory and Applications

2021/10/19

Roman Vershynin
Roman Vershynin

H-Index: 39

Hongkai Zhao
Hongkai Zhao

H-Index: 32

Scalable Incremental Nonconvex Optimization Approach for Phase Retrieval

Journal of Scientific Computing

2021/5

Ji Li
Ji Li

H-Index: 22

Hongkai Zhao
Hongkai Zhao

H-Index: 32

Quantitative PAT with simplified PN approximation

Inverse Problems

2021/4/20

Hongkai Zhao
Hongkai Zhao

H-Index: 32

Yimin Zhong
Yimin Zhong

H-Index: 5

A dual iterative refinement method for non-rigid shape matching

2021

Separability of the kernel function in an integral formulation for the anisotropic radiative transfer equation

SIAM Journal on Mathematical Analysis

2021

A data-driven approach for multiscale elliptic PDEs with random coefficients based on intrinsic dimension reduction

Multiscale Modeling & Simulation

2020

Sijing Li
Sijing Li

H-Index: 7

Hongkai Zhao
Hongkai Zhao

H-Index: 32

Solving phase retrieval via graph projection splitting

Inverse Problems

2020/4/8

Ji Li
Ji Li

H-Index: 22

Hongkai Zhao
Hongkai Zhao

H-Index: 32

Robust inexact alternating optimization for matrix completion with outliers

Journal of Computational Mathematics

2020/3/15

Ji Li
Ji Li

H-Index: 22

Hongkai Zhao
Hongkai Zhao

H-Index: 32

A fast algorithm for time-dependent radiative transport equation based on integral formulation

arXiv preprint arXiv:2001.10050

2020/1/27

Hongkai Zhao
Hongkai Zhao

H-Index: 32

Yimin Zhong
Yimin Zhong

H-Index: 5

Efficient and robust shape correspondence via sparsity-enforced quadratic assignment

2020

See List of Professors in Hongkai Zhao University(Duke University)