Wenjing Liao

Wenjing Liao

Georgia Institute of Technology

H-index: 16

North America-United States

About Wenjing Liao

Wenjing Liao, With an exceptional h-index of 16 and a recent h-index of 14 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Data analysis, machine learning, imaging and signal processing, applied harmonic analysis.

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

Learning Functions Varying along a Central Subspace

Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning

Deep nonparametric estimation of operators between infinite dimensional spaces

Deep nonparametric estimation of intrinsic data structures by chart autoencoders: Generalization error and robustness

Group Projected subspace pursuit for IDENTification of variable coefficient differential equations (GP-IDENT)

High dimensional binary classification under label shift: phase transition and regularization

DFU: scale-robust diffusion model for zero-shot super-resolution image generation

Fourier Features for Identifying Differential Equations (FourierIdent)

Wenjing Liao Information

University

Position

___

Citations(all)

1253

Citations(since 2020)

871

Cited By

663

hIndex(all)

16

hIndex(since 2020)

14

i10Index(all)

23

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Wenjing Liao Skills & Research Interests

Data analysis

machine learning

imaging and signal processing

applied harmonic analysis

Top articles of Wenjing Liao

Learning Functions Varying along a Central Subspace

arXiv preprint arXiv:2001.07883

2020/1/22

Hao Liu
Hao Liu

H-Index: 30

Wenjing Liao
Wenjing Liao

H-Index: 11

Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning

arXiv preprint arXiv:2401.10490

2024/1/19

Deep nonparametric estimation of operators between infinite dimensional spaces

Journal of Machine Learning Research

2024

Deep nonparametric estimation of intrinsic data structures by chart autoencoders: Generalization error and robustness

Applied and Computational Harmonic Analysis

2024/1/1

Group Projected subspace pursuit for IDENTification of variable coefficient differential equations (GP-IDENT)

Journal of Computational Physics

2023/12/1

High dimensional binary classification under label shift: phase transition and regularization

Sampling Theory, Signal Processing, and Data Analysis

2023/12

DFU: scale-robust diffusion model for zero-shot super-resolution image generation

arXiv preprint arXiv:2401.06144

2023/11/30

Wenjing Liao
Wenjing Liao

H-Index: 11

Fourier Features for Identifying Differential Equations (FourierIdent)

arXiv preprint arXiv:2311.16608

2023/11/28

Hao Liu
Hao Liu

H-Index: 30

Wenjing Liao
Wenjing Liao

H-Index: 11

A manifold two-sample test study: integral probability metric with neural networks

Information and Inference: A Journal of the IMA

2023/9

Effective minkowski dimension of deep nonparametric regression: function approximation and statistical theories

2023/7/3

WeakIdent: Weak formulation for identifying differential equation using narrow-fit and trimming

Journal of Computational Physics

2023/6/15

Wenjing Liao
Wenjing Liao

H-Index: 11

On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds

Advances in Neural Information Processing Systems

2022/12/6

Nonparametric regression on low-dimensional manifolds using deep ReLU networks: Function approximation and statistical recovery

Information and Inference: A Journal of the IMA

2022/12

Stability and super-resolution of MUSIC and ESPRIT for multi-snapshot spectral estimation

IEEE Transactions on Signal Processing

2022/9/5

Weilin Li
Weilin Li

H-Index: 8

Wenjing Liao
Wenjing Liao

H-Index: 11

Numerical identification of nonlocal potential in aggregation

arXiv preprint arXiv:2207.03358

2022/7/7

Benefits of overparameterized convolutional residual networks: Function approximation under smoothness constraint

2022/6/28

Robust identification of differential equations by numerical techniques from a single set of noisy observation

SIAM Journal on Scientific Computing

2022

An automatic denoising method for NMR spectroscopy based on low-rank Hankel model

IEEE Transactions on Instrumentation and Measurement

2021/9/1

Besov function approximation and binary classification on low-dimensional manifolds using convolutional residual networks

2021/7/1

Ident: Identifying differential equations with numerical time evolution

Journal of Scientific Computing

2021/4

Wenjing Liao
Wenjing Liao

H-Index: 11

Yingjie Liu
Yingjie Liu

H-Index: 17

See List of Professors in Wenjing Liao University(Georgia Institute of Technology)

Co-Authors

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