Pengyu Yuan
South China Agricultural University(CN)
Publications by Year
Research Areas
Seismic Imaging and Inversion Techniques, Domain Adaptation and Few-Shot Learning, Seismic Waves and Analysis, Machine Learning and Data Classification, Seismology and Earthquake Studies
Most-Cited Works
- → Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks(2020)73 cited
- → Physician-Friendly Machine Learning: A Case Study with Cardiovascular Disease Risk Prediction(2019)71 cited
- → A robust first-arrival picking workflow using convolutional and recurrent neural networks(2020)50 cited
- → Memory-Augmented Capsule Network for Adaptable Lung Nodule Classification(2021)32 cited
- → A Self-Supervised Deep Learning Method for Seismic Data Deblending Using a Blind-Trace Network(2022)30 cited
- → First arrival picking using U-net with Lovasz loss and nearest point picking method(2019)18 cited
- → Phasetime: Deep Learning Approach to Detect Nuclei in Time Lapse Phase Images(2019)17 cited
- → Self-Supervised Learning for Efficient Antialiasing Seismic Data Interpolation(2022)16 cited
- → Few Is Enough: Task-Augmented Active Meta-learning for Brain Cell Classification(2020)13 cited
- → Seismic deblending by self-supervised deep learning with a blind-trace network(2021)11 cited