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

Scalable Incremental Nonconvex Optimization Approach for Phase Retrieval

Quantitative PAT with simplified PN approximation

A dual iterative refinement method for non-rigid shape matching

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

Duke University

Google Scholar

View Google Scholar Profile

Hongkai Zhao Skills & Research Interests

Mathematics

Top articles of Hongkai Zhao

Title

Journal

Author(s)

Publication Date

Deep network approximation: Beyond relu to diverse activation functions

Journal of Machine Learning Research

Shijun Zhang

Jianfeng Lu

Hongkai Zhao

2024/1/1

Generalized unsupervised functional map learning for dense correspondence

The Visual Computer

Li Han

Xue Shi

Jinhai He

Huiwen Ma

Feng Dou

...

2023/12

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

Foundations of Computational Mathematics

Yuchen He

Hongkai Zhao

Yimin Zhong

2023/10/17

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

Statistics and Computing

Sijing Li

Cheng Zhang

Zhiwen Zhang

Hongkai Zhao

2023/8

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

arXiv preprint arXiv:2306.17301

Shijun Zhang

Hongkai Zhao

Yimin Zhong

Haomin Zhou

2023/6/29

Scalable Incremental Nonconvex Optimization Approach for Phase Retrieval

Journal of Scientific Computing

Ji Li

Jian-Feng Cai

Hongkai Zhao

2021/5

Quantitative PAT with simplified PN approximation

Inverse Problems

Hongkai Zhao

Yimin Zhong

2021/4/20

A dual iterative refinement method for non-rigid shape matching

Rui Xiang

Rongjie Lai

Hongkai Zhao

2021

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

SIAM Journal on Mathematical Analysis

Kui Ren

Hongkai Zhao

Yimin Zhong

2021

Marchenko–Pastur law with relaxed independence conditions

Random Matrices: Theory and Applications

Jennifer Bryson

Roman Vershynin

Hongkai Zhao

2021/10/19

Robust inexact alternating optimization for matrix completion with outliers

Journal of Computational Mathematics

Ji Li

Jian-Feng Cai

Hongkai Zhao

2020/3/15

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

arXiv preprint arXiv:2001.10050

Hongkai Zhao

Yimin Zhong

2020/1/27

Efficient and robust shape correspondence via sparsity-enforced quadratic assignment

Rui Xiang

Rongjie Lai

Hongkai Zhao

2020

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

Multiscale Modeling & Simulation

Sijing Li

Zhiwen Zhang

Hongkai Zhao

2020

Solving phase retrieval via graph projection splitting

Inverse Problems

Ji Li

Hongkai Zhao

2020/4/8

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