Xinming Wu
Orcid: 0000-0002-4910-8253
According to our database1,
Xinming Wu
authored at least 35 papers
between 2012 and 2024.
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Bibliography
2024
Missing log prediction using machine learning perspectives: A case study from upper Assam basin.
Earth Sci. Informatics, August, 2024
IPAD-DB: a manually curated database for experimentally verified inhibitors of proteins associated with Alzheimer's disease.
Database J. Biol. Databases Curation, January, 2024
Enhancing Deep Learning for Seismic Interpretation With Constraints From Seismic Attributes: A Fault Detection Case Study.
IEEE Trans. Geosci. Remote. Sens., 2024
SeisCLIP: A Seismology Foundation Model Pre-Trained by Multimodal Data for Multipurpose Seismic Feature Extraction.
IEEE Trans. Geosci. Remote. Sens., 2024
MAMCL: Multi-attributes Masking Contrastive Learning for explainable seismic facies analysis.
Comput. Geosci., 2024
FlexLogNet: A flexible deep learning-based well-log completion method of adaptively using what you have to predict what you are missing.
Comput. Geosci., 2024
A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys.
CoRR, 2024
Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis.
CoRR, 2024
2023
A finite element method with energy-adaptive grids for the coupled Schrödinger-Poisson-drift-diffusion model.
J. Comput. Phys., December, 2023
A Multi-Task Learning Method for Relative Geologic Time, Horizons, and Faults With Prior Information and Transformer.
IEEE Trans. Geosci. Remote. Sens., 2023
SeisCLIP: A seismology foundation model pre-trained by multi-modal data for multi-purpose seismic feature extraction.
CoRR, 2023
Multi-task multi-station earthquake monitoring: An all-in-one seismic Phase picking, Location, and Association Network (PLAN).
CoRR, 2023
A Deep-Learning-Based Neural Decoding Framework for Emotional Brain-Computer Interfaces.
CoRR, 2023
2022
Seismic Horizon Identification Using Semi-Supervised Learning With Virtual Adversarial Training.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
CoRR, 2022
2021
ADDCNN: An Attention-Based Deep Dilated Convolutional Neural Network for Seismic Facies Analysis With Interpretable Spatial-Spectral Maps.
IEEE Trans. Geosci. Remote. Sens., 2021
SIAM J. Numer. Anal., 2021
Convolutional neural network with median layers for denoising salt-and-pepper contaminations.
Neurocomputing, 2021
2020
Comput. Math. Appl., 2020
2019
FaultNet3D: Predicting Fault Probabilities, Strikes, and Dips With a Single Convolutional Neural Network.
IEEE Trans. Geosci. Remote. Sens., 2019
IEEE Trans. Geosci. Remote. Sens., 2019
Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations.
CoRR, 2019
CoRR, 2019
2018
On joint optimization of sensing matrix and sparsifying dictionary for robust compressed sensing systems.
Digit. Signal Process., 2018
2017
J. Sci. Comput., 2017
A Regularized Newton Method for Computing Ground States of Bose-Einstein Condensates.
J. Sci. Comput., 2017
Comput. Geosci., 2017
Proceedings of the 16th Wuhan International Conference on E-Business, 2017
2013
J. Sci. Comput., 2013
2012
Long-Time Stability and Convergence of the Uniaxial Perfectly Matched Layer Method for Time-Domain Acoustic Scattering Problems.
SIAM J. Numer. Anal., 2012