Yang Liu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 17

Top Topics

Noise Suppression

Weakly Supervised

Top Venues

IEEE Geosci. Remote. Sens. Lett.

IEEE Trans. Geosci. Remote. Sens.

J. Comput. Phys.

Comput. Geosci.

Publications

Wenbin Tian, Yang Liu, Xi Di
Enhancing Seismic Waveform Inversion Using a Three-Step Strategy With Adversarial Neural Networks and Seismic Envelope. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Gui Chen, Yang Liu
FUDLInter: Frequency-Space-Dependent Unsupervised Deep Learning Framework for 3-D and 5-D Seismic Data Interpolation. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Yuhang Sun, Yang Liu, Hongli Dong, Gui Chen, Xuegui Li
Seismic AVO Inversion Method for Viscoelastic Media Based on a Tandem Invertible Neural Network Model. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Gui Chen, Yang Liu, Xi Di, Haoran Zhang
Segmentation From 4-D Seismic Image Using Convolutional Vision Transformer. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Hongyu Zhou, Yang Liu, Jing Wang
K-space dispersion error compensators for the fractional spatial derivatives based constant-Q viscoelastic wave equation modeling. J. Comput. Phys. 487 (2023)
Carlos H. Bastidas Pérez, Yang Liu
Three-Dimensional Initial Salt Body Building for Full-Waveform Inversion Assisted by Deep Learning. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Hongyu Zhou, Yang Liu, Jing Wang
Elastic Wave Modeling With High-Order Temporal and Spatial Accuracies by a Selectively Modified and Linearly Optimized Staggered-Grid Finite-Difference Scheme. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Gui Chen, Yang Liu, Mi Zhang, Haoran Zhang
Dropout-Based Robust Self-Supervised Deep Learning for Seismic Data Denoising. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Mi Zhang, Yang Liu
3-D Seismic Data Recovery via Neural Network-Based Matrix Completion. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Haoran Zhang, Ping Yang, Yang Liu, Yaneng Luo, Jingyi Xu
Deep Learning-Based Low-Frequency Extrapolation and Impedance Inversion of Seismic Data. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Mengyao Jiao, Tianyue Hu, Yang Liu, Shaohuan Zu, Weikang Kuang
Deblending Method of Multisource Seismic Data Based on a Periodically Varying Cosine Code. IEEE Geosci. Remote. Sens. Lett. 18 (9) (2021)
Yang Liu
Maximizing the CFL number of stable time-space domain explicit finite-difference modeling. J. Comput. Phys. 416 (2020)
Yuxi Zhang, Yang Liu, Haoran Zhang, Hao Xue
Seismic Facies Analysis Based on Deep Learning. IEEE Geosci. Remote. Sens. Lett. 17 (7) (2020)
Mi Zhang, Yang Liu, Haoran Zhang, Yangkang Chen
Incoherent Noise Suppression of Seismic Data Based on Robust Low-Rank Approximation. IEEE Trans. Geosci. Remote. Sens. 58 (12) (2020)
Mi Zhang, Yang Liu, Yangkang Chen
Unsupervised Seismic Random Noise Attenuation Based on Deep Convolutional Neural Network. IEEE Access 7 (2019)
Mi Zhang, Yang Liu, Min Bai, Yangkang Chen
Seismic Noise Attenuation Using Unsupervised Sparse Feature Learning. IEEE Trans. Geosci. Remote. Sens. 57 (12) (2019)
Xiaohui Cai, Yang Liu, Zhiming Ren
Acoustic reverse-time migration using GPU card and POSIX thread based on the adaptive optimal finite-difference scheme and the hybrid absorbing boundary condition. Comput. Geosci. 115 (2018)
Yang Liu, Mrinal K. Sen
Time-space domain dispersion-relation-based finite-difference method with arbitrary even-order accuracy for the 2D acoustic wave equation. J. Comput. Phys. 232 (1) (2013)
Yang Liu, Mrinal K. Sen
A new time-space domain high-order finite-difference method for the acoustic wave equation. J. Comput. Phys. 228 (23) (2009)