Bangyu Wu

Orcid: 0000-0001-9998-9071

According to our database1, Bangyu Wu authored at least 46 papers between 2005 and 2024.

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Bibliography

2024
InverMulT-STP: Closed-Loop Transformer Seismic AVA Inversion With Synthetic Data Style Transfer Pretraining.
IEEE Trans. Geosci. Remote. Sens., 2024

Transformer and Convolutional Hybrid Neural Network for Seismic Impedance Inversion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

PINN-Based Seismic Wavefield Simulation With Learnable Multiscale Fourier Feature Mapping and Adaptive Activation Function.
IEEE Geosci. Remote. Sens. Lett., 2024

Multitask Seismic Inversion Based on Deformable Convolution and Generative Adversarial Network.
IEEE Geosci. Remote. Sens. Lett., 2024

2023
A New Multi-objective Hybrid Gene Selection Algorithm for Tumor Classification Based on Microarray Gene Expression Data.
Int. J. Comput. Intell. Appl., December, 2023

Fault Detection via 2.5D Transformer U-Net with Seismic Data Pre-Processing.
Remote. Sens., February, 2023

Deep Nonlocal Regularizer: A Self-Supervised Learning Method for 3-D Seismic Denoising.
IEEE Trans. Geosci. Remote. Sens., 2023

S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning.
IEEE Trans. Geosci. Remote. Sens., 2023

MTL-FaultNet: Seismic Data Reconstruction Assisted Multitask Deep Learning 3-D Fault Interpretation.
IEEE Trans. Geosci. Remote. Sens., 2023

Attention and Hybrid Loss Guided 2-D Network for Seismic Impedance Inversion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Multitask Full Attention U-Net for Prestack Seismic Inversion.
IEEE Geosci. Remote. Sens. Lett., 2023

Auto-scaling Distribution Fitting Network for User Feedback Prediction.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Multi-Task Seismic Deep Learning Inversion Based on FCRN and GRU Hybrid Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Seismic Data Random Noise Attenuation Using Visible Blind Spot Self-Supervised Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Unsupervised Seismic Data Random Noise Attenuation Method Based on Improved Blind Spot Strategy.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Transformer and CNN Hybrid Neural Network for Seismic Impedance Inversion.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Hybrid Loss Guided 2d Multi-Task Full Attention U-Net for Prestack Seismic Inversion.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Attention and Hybrid Loss Guided Deep Learning for Consecutively Missing Seismic Data Reconstruction.
IEEE Trans. Geosci. Remote. Sens., 2022

Seismic Impedance Inversion Based on Residual Attention Network.
IEEE Trans. Geosci. Remote. Sens., 2022

Distilling Knowledge From an Ensemble of Convolutional Neural Networks for Seismic Fault Detection.
IEEE Geosci. Remote. Sens. Lett., 2022

Deep Learning Prior Model for Unsupervised Seismic Data Random Noise Attenuation.
IEEE Geosci. Remote. Sens. Lett., 2022

Seismic Impedance Inversion Using Conditional Generative Adversarial Network.
IEEE Geosci. Remote. Sens. Lett., 2022

Consecutively Missing Seismic Data Interpolation Based on Coordinate Attention Unet.
IEEE Geosci. Remote. Sens. Lett., 2022

Seismic Data Consecutively Missing Trace Interpolation Based on Multistage Neural Network Training Process.
IEEE Geosci. Remote. Sens. Lett., 2022

Multi-Task Deep Learning Seismic Impedance Inversion Optimization Based on Homoscedastic Uncertainty.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Seismic Impedance Inversion based on Residual Attention Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

"Missing-As-Complete" (MAC) Strategy and Hybrid Loss Guided Network Training for Seismic Data Reconstruction.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Semi-Supervised Learning for Seismic Impedance Inversion Using Generative Adversarial Networks.
Remote. Sens., 2021

Landslide Susceptibility Modeling Using Bagging-Based Positive-Unlabeled Learning.
IEEE Geosci. Remote. Sens. Lett., 2021

Expressway Exit Station Short-Term Traffic Flow Prediction With Split Traffic Flows According Originating Entry Stations.
IEEE Access, 2021

Expressway Exit Traffic Flow Prediction for ETC and MTC Charging System Based on Entry Traffic Flows and LSTM Model.
IEEE Access, 2021

Frequency-Domain Trapezoid Grid Acoustic Wave Simulating Method.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Attention Neural Network Semblance Velocity Auto Picking with Reference Velocity Curve Data Augmentation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Seismic Traffic Noise Attenuation Using $l_{p}$ -Norm Robust PCA.
IEEE Geosci. Remote. Sens. Lett., 2020

Seismic Impedance Inversion Using Fully Convolutional Residual Network and Transfer Learning.
IEEE Geosci. Remote. Sens. Lett., 2020

Correction to "Seismic Time-Frequency Analysis via Adaptive Mode Separation-Based Wavelet Transform".
IEEE Geosci. Remote. Sens. Lett., 2020

Seismic Time-Frequency Analysis via Adaptive Mode Separation-Based Wavelet Transform.
IEEE Geosci. Remote. Sens. Lett., 2020

Semi-Supervised Deep Learning Seismic Impedance Inversion Using Generative Adversarial Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2018
A Carleman estimate of some anisotropic space-fractional diffusion equations.
Appl. Math. Lett., 2018

2017
An Iterative Feature-Pair Updating Framework for Rigid Template Matching with Outliers.
Proceedings of the 19th IEEE International Symposium on Multimedia, 2017

2010
High Availability Data Model for P2P Storage Network.
Proceedings of the Web Information Systems Engineering - WISE 2010, 2010

2009
QoS Requirement Generation and Algorithm Selection for Composite Service Based on Reference Vector.
J. Comput. Sci. Technol., 2009

Workflow-based resource allocation to optimize overall performance of composite services.
Future Gener. Comput. Syst., 2009

2007
Service Selection Model Based on QoS Reference Vector.
Proceedings of the 2007 IEEE International Conference on Services Computing, 2007

Resource Allocation Based On Workflow For Enhancing the Performance of Composite Service.
Proceedings of the 2007 IEEE International Conference on Services Computing (SCC 2007), 2007

2005
Secure Construction of Virtual Organizations in Grid Computing Systems.
Proceedings of the Internet and Network Economics, First International Workshop, 2005


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