Pengyu Yuan

Pengyu Yuan

University of Houston

H-index: 11

North America-United States

About Pengyu Yuan

Pengyu Yuan, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Houston, specializes in the field of Image processing, Meta-learning, Deep neural networks.

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

Method for reconstructing at least one trace in a seismic image

Introduction to meta learning

Model-based meta learning

Metric learning algorithms for meta learning

AGILE-a meta learning framework for few-shot brain cell classification

Meta learning by optimization

Self-supervised learning for seismic swell noise removal

A self-supervised deep learning method for seismic data deblending using a blind-trace network

Pengyu Yuan Information

University

Position

___

Citations(all)

466

Citations(since 2020)

466

Cited By

75

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Pengyu Yuan Skills & Research Interests

Image processing

Meta-learning

Deep neural networks

Top articles of Pengyu Yuan

Method for reconstructing at least one trace in a seismic image

2023/3/2

Introduction to meta learning

2023/1/1

Pengyu Yuan
Pengyu Yuan

H-Index: 5

Hien Van Nguyen
Hien Van Nguyen

H-Index: 25

Model-based meta learning

2023/1/1

Pengyu Yuan
Pengyu Yuan

H-Index: 5

Hien Van Nguyen
Hien Van Nguyen

H-Index: 25

Metric learning algorithms for meta learning

2023/1/1

Pengyu Yuan
Pengyu Yuan

H-Index: 5

Hien Van Nguyen
Hien Van Nguyen

H-Index: 25

AGILE-a meta learning framework for few-shot brain cell classification

2023/1/1

Pengyu Yuan
Pengyu Yuan

H-Index: 5

Hien Van Nguyen
Hien Van Nguyen

H-Index: 25

Meta learning by optimization

2023/1/1

Pengyu Yuan
Pengyu Yuan

H-Index: 5

Hien Van Nguyen
Hien Van Nguyen

H-Index: 25

Self-supervised learning for seismic swell noise removal

2022/8/15

A self-supervised deep learning method for seismic data deblending using a blind-trace network

IEEE Transactions on Neural Networks and Learning Systems

2022/7/14

Deep learning-assisted real-time forward modeling of electromagnetic logging in complex formations

IEEE Geoscience and Remote Sensing Letters

2022/4/28

Self-supervised learning for efficient antialiasing seismic data interpolation

IEEE Transactions on Geoscience and Remote Sensing

2022/4/14

Self-supervised learning for anti-aliasing seismic data interpolation

2021/10/30

Seismic deblending by self-supervised deep learning with a blind-trace network

2021/10/30

Multimodal breast lesion classification using cross-attention deep networks

2021/7/27

Pengyu Yuan
Pengyu Yuan

H-Index: 5

A deep learning model-based lung cancer risk assessment for incidental pulmonary nodules

Cancer Research

2021/7/1

Pengyu Yuan
Pengyu Yuan

H-Index: 5

Hien Nguyen
Hien Nguyen

H-Index: 4

Dropconnect is effective in modeling uncertainty of bayesian deep networks

Scientific reports

2021/3/9

Memory-augmented capsule network for adaptable lung nodule classification

IEEE Transactions on Medical Imaging

2021/1/12

Stypath: Style-transfer data augmentation for robust histology image classification

2020

Adaptive first arrival picking model with meta-learning

2020/10/11

A robust first-arrival picking workflow using convolutional and recurrent neural networks

Geophysics

2020/9/1

See List of Professors in Pengyu Yuan University(University of Houston)

Co-Authors

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