Gongguo Tang

Gongguo Tang

Colorado School of Mines

H-index: 29

North America-United States

About Gongguo Tang

Gongguo Tang, With an exceptional h-index of 29 and a recent h-index of 23 (since 2020), a distinguished researcher at Colorado School of Mines, specializes in the field of Machine Learning, Optimization, Signal Processing, Data Science, Computational Imaging.

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

Separation-free spectral super-resolution via convex optimization

Quantum state tomography with tensor train cross approximation

Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem

Error analysis of tensor-train cross approximation

Spectral super-resolution for hyperspectral image reconstruction using dictionary and machine learning

Contaminated multiband signal identification via deep learning

Stable super-resolution of images: theoretical study

Learning to find good correspondences of multiple objects

Gongguo Tang Information

University

Position

Associate Professor

Citations(all)

5149

Citations(since 2020)

2913

Cited By

3780

hIndex(all)

29

hIndex(since 2020)

23

i10Index(all)

57

i10Index(since 2020)

43

Email

University Profile Page

Google Scholar

Gongguo Tang Skills & Research Interests

Machine Learning

Optimization

Signal Processing

Data Science

Computational Imaging

Top articles of Gongguo Tang

Title

Journal

Author(s)

Publication Date

Separation-free spectral super-resolution via convex optimization

Applied and Computational Harmonic Analysis

Zai Yang

Yi-Lin Mo

Gongguo Tang

Zongben Xu

2024/2/29

Quantum state tomography with tensor train cross approximation

arXiv preprint arXiv:2207.06397

Alexander Lidiak

Casey Jameson

Zhen Qin

Gongguo Tang

Michael B Wakin

...

2022/7/13

Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem

IEEE Transactions on Signal Processing

Shuang Li

Gongguo Tang

Michael B Wakin

2022/6/10

Error analysis of tensor-train cross approximation

Advances in Neural Information Processing Systems

Zhen Qin

Alexander Lidiak

Zhexuan Gong

Gongguo Tang

Michael B Wakin

...

2022/12/6

Spectral super-resolution for hyperspectral image reconstruction using dictionary and machine learning

Swastik Bhattacharya

Kedar Remane

Bruce Kindel

Gongguo Tang

2022/7/17

Contaminated multiband signal identification via deep learning

Youye Xie

Michael B Wakin

Gongguo Tang

2021/7/11

Stable super-resolution of images: theoretical study

Information and Inference: A Journal of the IMA

Armin Eftekhari

Tamir Bendory

Gongguo Tang

2021/3

Learning to find good correspondences of multiple objects

Youye Xie

Yingheng Tang

Gongguo Tang

William Hoff

2021/1/10

Data-driven Support Recovery for Sparse Signals with Non-stationary Modulation

Youye Xie

Michael B Wakin

Gongguo Tang

2021/12/13

The global optimization geometry of low-rank matrix optimization

IEEE Transactions on Information Theory

Zhihui Zhu

Qiuwei Li

Gongguo Tang

Michael B Wakin

2021

Data-driven parameter estimation of contaminated damped exponentials

Youye Xie

Michael B Wakin

Gongguo Tang

2021/10/31

Bounds on Estimation

Arye Nehorai

Gongguo Tang

2021/8/4

Support recovery for sparse signals with unknown non-stationary modulation

IEEE Transactions on Signal Processing

Youye Xie

Michael B Wakin

Gongguo Tang

2020/2/24

The global geometry of centralized and distributed low-rank matrix recovery without regularization

IEEE Signal Processing Letters

Shuang Li

Qiuwei Li

Zhihui Zhu

Gongguo Tang

Michael B Wakin

2020/7/15

Approximate support recovery of atomic line spectral estimation: A tale of resolution and precision

Applied and Computational Harmonic Analysis

Qiuwei Li

Gongguo Tang

2020/5/1

See List of Professors in Gongguo Tang University(Colorado School of Mines)

Co-Authors

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