Yang Liu

According to our database, Yang Liu authored at least 21 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Seismic AVO Inversion Method for Viscoelastic Media Based on a Tandem Invertible Neural Network Model.

Yuhang Sun, Yang Liu, Hongli Dong, Gui Chen, Xuegui Li

IEEE Trans. Geosci. Remote. Sens., 2024

Seismic PP-Wave AVO Inversion Method for VTI Media Based on Double Discriminator Conditional Generative Adversarial Networks.

Yuhang Sun, Hongli Dong, Gui Chen, Yamin Shang, Liyan Zhang, Yang Liu

IEEE Trans. Geosci. Remote. Sens., 2024

CO₂Seg: Automatic CO₂ Segmentation From 4-D Seismic Image Using Convolutional Vision Transformer.

Gui Chen, Yang Liu, Xi Di, Haoran Zhang

IEEE Trans. Geosci. Remote. Sens., 2024

FUDLInter: Frequency-Space-Dependent Unsupervised Deep Learning Framework for 3-D and 5-D Seismic Data Interpolation.

Gui Chen, Yang Liu

IEEE Trans. Geosci. Remote. Sens., 2024

Enhancing Seismic Waveform Inversion Using a Three-Step Strategy With Adversarial Neural Networks and Seismic Envelope.

Wenbin Tian, Yang Liu, Xi Di

IEEE Geosci. Remote. Sens. Lett., 2024

2023

Improving the Generalization of Deep Neural Networks in Seismic Resolution Enhancement.

Haoran Zhang, Tariq Alkhalifah, Yang Liu, Claire Birnie, Xi Di

IEEE Geosci. Remote. Sens. Lett., 2023

Three-Dimensional Initial Salt Body Building for Full-Waveform Inversion Assisted by Deep Learning.

Carlos H. Bastidas Pérez, Yang Liu

IEEE Geosci. Remote. Sens. Lett., 2023

K-space dispersion error compensators for the fractional spatial derivatives based constant-Q viscoelastic wave equation modeling.

Hongyu Zhou, Yang Liu, Jing Wang

J. Comput. Phys., 2023

2022

Elastic Wave Modeling With High-Order Temporal and Spatial Accuracies by a Selectively Modified and Linearly Optimized Staggered-Grid Finite-Difference Scheme.

Hongyu Zhou, Yang Liu, Jing Wang

IEEE Trans. Geosci. Remote. Sens., 2022

Deep Learning-Based Low-Frequency Extrapolation and Impedance Inversion of Seismic Data.

Haoran Zhang, Ping Yang, Yang Liu, Yaneng Luo, Jingyi Xu

IEEE Geosci. Remote. Sens. Lett., 2022

3-D Seismic Data Recovery via Neural Network-Based Matrix Completion.

Mi Zhang, Yang Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Dropout-Based Robust Self-Supervised Deep Learning for Seismic Data Denoising.

Gui Chen, Yang Liu, Mi Zhang, Haoran Zhang

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Deblending Method of Multisource Seismic Data Based on a Periodically Varying Cosine Code.

Mengyao Jiao, Tianyue Hu, Yang Liu, Shaohuan Zu, Weikang Kuang

IEEE Geosci. Remote. Sens. Lett., 2021

2020

Incoherent Noise Suppression of Seismic Data Based on Robust Low-Rank Approximation.

Mi Zhang, Yang Liu, Haoran Zhang, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2020

Seismic Facies Analysis Based on Deep Learning.

Yuxi Zhang, Yang Liu, Haoran Zhang, Hao Xue

IEEE Geosci. Remote. Sens. Lett., 2020

Maximizing the CFL number of stable time-space domain explicit finite-difference modeling.

Yang Liu

J. Comput. Phys., 2020

2019

Seismic Noise Attenuation Using Unsupervised Sparse Feature Learning.

Mi Zhang, Yang Liu, Min Bai, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2019

Unsupervised Seismic Random Noise Attenuation Based on Deep Convolutional Neural Network.

Mi Zhang, Yang Liu, Yangkang Chen

IEEE Access, 2019

2018

Acoustic reverse-time migration using GPU card and POSIX thread based on the adaptive optimal finite-difference scheme and the hybrid absorbing boundary condition.

Xiaohui Cai, Yang Liu, Zhiming Ren

Comput. Geosci., 2018

2013

Time-space domain dispersion-relation-based finite-difference method with arbitrary even-order accuracy for the 2D acoustic wave equation.

Yang Liu, Mrinal K. Sen

J. Comput. Phys., 2013

2009

A new time-space domain high-order finite-difference method for the acoustic wave equation.

Yang Liu, Mrinal K. Sen

J. Comput. Phys., 2009