Xinming Wu

发表

A Multilevel Correction Method for Interior Transmission Eigenvalue Problem

Hehu Xie, Xinming Wu, Hehu Xie, 2015, J. Sci. Comput..

FaultNet3D: Predicting Fault Probabilities, Strikes, and Dips With a Single Convolutional Neural Network

Sergey Fomel, Luming Liang, Xinming Wu, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations pdf

Jing Qin, Lionel Gueguen, Luming Liang, 2019, Neurocomputing.

Deep learning for local seismic image processing: Fault detection, structure-oriented smoothing with edge-preserving, and slope estimation by using a single convolutional neural network

Sergey Fomel, Luming Liang, Xinming Wu, 2019, SEG Technical Program Expanded Abstracts 2019.

Automatic fault interpretation using optimal surface voting

Sergey Fomel, Xinming Wu, Xinming Wu, 2018, SEG Technical Program Expanded Abstracts 2018.

Missing sonic log prediction using convolutional long short-term memory

Nam Pham, Xinming Wu, 2019 .

Error Estimates of the Finite Element Method for Interior Transmission Problems

Wenbin Chen, Xinming Wu, Wenbin Chen, 2013, J. Sci. Comput..

Finding an optimal well-log correlation sequence using coherence-weighted graphs

Sergey Fomel, Xinming Wu, Yunzhi Shi, 2017 .

FaultSeg3D: Using synthetic data sets to train an end-to-end convolutional neural network for 3D seismic fault segmentation

Sergey Fomel, Luming Liang, Xinming Wu, 2019, GEOPHYSICS.

Long-Time Stability and Convergence of the Uniaxial Perfectly Matched Layer Method for Time-Domain Acoustic Scattering Problems

Zhiming Chen, Xinming Wu, Zhiming Chen, 2012, SIAM J. Numer. Anal..

A Regularized Newton Method for Computing Ground States of Bose–Einstein Condensates

Weizhu Bao, Xinming Wu, Zaiwen Wen, 2015, Journal of Scientific Computing.

FaultNet: A deep CNN model for 3D automated fault picking

Xinming Wu, Yunzhi Shi, Qie Zhang, 2019 .

On joint optimization of sensing matrix and sparsifying dictionary for robust compressed sensing systems

Zhihui Zhu, Gang Li, Beiping Hou, 2018, Digit. Signal Process..

Relative time seislet transform

Yangkang Chen, Sergey Fomel, Xinming Wu, 2020 .

Introduction to special section: Machine learning in seismic data analysis

Ghassan AlRegib, Lei Huang, Fangyu Li, 2019, Interpretation.

Missing well log prediction using convolutional long short-term memory network

Nam Pham, Xinming Wu, Ehsan Zabihi Naeini, 2020 .

A splitting Fourier pseudospectral method for Vlasov-Poisson-Fokker-Planck system

Hanquan Wang, Xinming Wu, Ronghua Cheng, 2020, Comput. Math. Appl..

Interactive tracking of seismic geobodies using deep learning flood-filling network

Xinming Wu, Yunzhi Shi, 2019 .

Ground States of Spin-F Bose-Einstein Condensates

Xinming Wu, Zaiwen Wen, Yongyong Cai, 2020, SIAM J. Sci. Comput..

Automatic salt-body classification using deep-convolutional neural network

Sergey Fomel, Xinming Wu, Yunzhi Shi, 2018, SEG Technical Program Expanded Abstracts 2018.

An information entropy model on clinical assessment of patients based on the holographic field of meridian

Pengfei Li, Lihe Chai, Xinming Wu, 2017 .

3D seismic image processing for faults

Dave Hale, Xinming Wu, D. Hale, 2015 .

ADDCNN: An Attention-Based Deep Dilated Convolutional Neural Network for Seismic Facies Analysis With Interpretable Spatial–Spectral Maps

Fangyu Li, Xinming Wu, Huailai Zhou, 2021, IEEE Transactions on Geoscience and Remote Sensing.

C2B Orders Decision-making in Multiple Supply Chains Under Cloud Manufacturing

Xiaogang Ma, Xinming Wu, Niu Yu, 2017, WHICEB.

Automatic fault interpretation with optimal surface voting

Sergey Fomel, Xinming Wu, Xinming Wu, 2018, GEOPHYSICS.

Convolutional neural networks for fault interpretation in seismic images

Sergey Fomel, Luming Liang, Xinming Wu, 2018, SEG Technical Program Expanded Abstracts 2018.

Deep learning parameterization for geophysical inverse problems

Sergey Fomel, Xinming Wu, Yunzhi Shi, 2020 .

Hankel Low-Rank Approximation for Seismic Noise Attenuation

Shuaiqi Liu, Zhihui Zhu, Xinming Wu, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Modeling Chinese Painting Images Based on Ontology

Xinming Wu, Guofeng Li, Ye Liang, 2013, 2013 International Conference on Information Technology and Applications.

Ground states and their characterization of spin-F Bose-Einstein condensates pdf

Xinming Wu, Zaiwen Wen, Yongyong Cai, 2019, ArXiv.

A new hybrid stochastic approximation algorithm

Xinming Wu, Zi Xu, Xinming Wu, 2013, Optim. Lett..

Finite Element Approximation of the Modified Maxwell's Stekloff Eigenvalues pdf

Jiguang Sun, Xinming Wu, Bo Gong, 2020, SIAM J. Numer. Anal..

Building realistic structure models to train convolutional neural networks for seismic structural interpretation

Sergey Fomel, Guillaume Caumon, Nam Pham, 2020 .

Multitask learning for local seismic image processing: fault detection, structure-oriented smoothing with edge-preserving, and seismic normal estimation by using a single convolutional neural network

Sergey Fomel, Luming Liang, Xinming Wu, 2019 .

Waveform embedding: Automatic horizon picking with unsupervised deep learning

Sergey Fomel, Xinming Wu, Yunzhi Shi, 2020 .

Service Features Based KQI Definition Method

Xinming Wu, Guofeng Li, Ye Liang, 2013, 2013 International Conference on Information Technology and Applications.

Seismic Horizon Identification Using Semi-Supervised Learning With Virtual Adversarial Training

Xinming Wu, Huazhong Wang, Fu Wang, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Interactively tracking seismic geobodies with a deep-learning flood-filling network

Sergey Fomel, Xinming Wu, Yunzhi Shi, 2021 .

Deep learning for velocity model building with common-image gather volumes

Mrinal K. Sen, Mrinal Sen, Sergey Fomel, 2021, Geophysical Journal International.

Deep Learning for Simultaneous Seismic Image Super-Resolution and Denoising

Zhanxuan Hu, Xinming Wu, Jintao Li, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Least-squares horizons with local slopes and multigrid correlations

Sergey Fomel, Xinming Wu, Xinming Wu, 2018, GEOPHYSICS.

3D Seismic Image Processing for Faults

Dave Hale, Xinming Wu, 2015 .

Moving faults while unfaulting 3D seismic images

Dave Hale, Xinming Wu, D. Hale, 2015 .

Automatically interpreting all faults, unconformities, and horizons from 3D seismic images

Dave Hale, Xinming Wu, D. Hale, 2016 .

Extracting Horizons and Sequence Boundaries From 3D Seismic Images

Dave Hale, Xinming Wu, D. Hale, 2013 .

Moving Faults while Unfaulting 3D Seismic Images

Dave Hale, Xinming Wu, Simon Luo, 2015 .

Source‐independent waveform inversion for attenuation estimation in anisotropic media

Xinming Wu, Ilya Tsvankin, Tong Bai, 2017, Geophysical Prospecting.

Predictive painting across faults

Sergey Fomel, Xinming Wu, Zhiguang Xue, 2018 .

Inversion of Time‐Lapse Seismic Reservoir Monitoring Data Using CycleGAN: A Deep Learning‐Based Approach for Estimating Dynamic Reservoir Property Changes

Alexander Y. Sun, Xinming Wu, Xinming Wu, 2020, Journal of Geophysical Research: Solid Earth.

Horizon volumes with interpreted constraints

Dave Hale, Xinming Wu, D. Hale, 2015 .

Relative geologic time estimation using a deep convolutional neural network

Sergey Fomel, Xinming Wu, Yunzhi Shi, 2019, SEG Technical Program Expanded Abstracts 2019.

Structure-, stratigraphy- and fault-guided regularization in geophysical inversion

Xinming Wu, Xinming Wu, 2017 .

Missing log data interpolation and semiautomatic seismic well ties using data matching techniques

Sergey Fomel, Xinming Wu, Xinming Wu, 2019, Interpretation.