Ziyi Yin

Ziyi Yin

Georgia Institute of Technology

H-index: 6

North America-United States

About Ziyi Yin

Ziyi Yin, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of inverse problems, PDE-constrained optimization, scientific machine learning, time-lapse seismic.

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

WISE: full-Waveform variational Inference via Subsurface Extensions

A Digital Twin for Geological Carbon Storage with Controlled Injectivity

Time-lapse full-waveform permeability inversion: a feasibility study

Inference of CO2 flow patterns--a feasibility study

Solving multiphysics-based inverse problems with learned surrogates and constraints

Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs

3D seismic survey design by maximizing the spectral gap

Learned multiphysics inversion with differentiable programming and machine learning

Ziyi Yin Information

University

Position

CSE PhD student @

Citations(all)

92

Citations(since 2020)

92

Cited By

0

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Ziyi Yin Skills & Research Interests

inverse problems

PDE-constrained optimization

scientific machine learning

time-lapse seismic

Top articles of Ziyi Yin

WISE: full-Waveform variational Inference via Subsurface Extensions

Geophysics

2024/4/13

A Digital Twin for Geological Carbon Storage with Controlled Injectivity

arXiv preprint arXiv:2403.19819

2024/3/28

Ziyi Yin
Ziyi Yin

H-Index: 0

Rafael Orozco
Rafael Orozco

H-Index: 2

Time-lapse full-waveform permeability inversion: a feasibility study

arXiv preprint arXiv:2403.04083

2024/3/6

Inference of CO2 flow patterns--a feasibility study

2023/11/1

Rafael Orozco
Rafael Orozco

H-Index: 2

Ziyi Yin
Ziyi Yin

H-Index: 0

Solving multiphysics-based inverse problems with learned surrogates and constraints

Advanced Modeling and Simulation in Engineering Sciences

2023/10/11

Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs

Computers & Geosciences

2023/9/1

3D seismic survey design by maximizing the spectral gap

2023/8/27

Learned multiphysics inversion with differentiable programming and machine learning

The Leading Edge

2023/7

Optimized time-lapse acquisition design via spectral gap ratio minimization

Geophysics

2023/7/1

Derisking geologic carbon storage from high-resolution time-lapse seismic to explainable leakage detection

The Leading Edge

2023/1

De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images

arXiv preprint arXiv:2212.08596

2022/12/16

Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators

2022/8/15

A simulation-free seismic survey design by maximizing the spectral gap

2022/8/15

Accelerating innovation with software abstractions for scalable computational geophysics

2022/8/15

Seismic Velocity Inversion and Uncertainty Quantification Using Conditional Normalizing Flows

AGU Fall Meeting

2021/12/13

Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model

2021/10/30

Extended source imaging - A unifying framework for seismic & medical imaging

2020/9/30

See List of Professors in Ziyi Yin University(Georgia Institute of Technology)

Co-Authors

academic-engine