FAD: Foundation-Model Aided Deep Learning for Marine Seismic Interference Attenuation
Foundation-model-aided deep learning for marine seismic interference attenuation, recorded as accepted by Geophysics on the official PKU faculty profile.
刘马
Publications
Every record retains a traceable source.
20 recordsVerified 2026-08-29
Feature-Space Planes Searcher: A Universal Domain Adaptation Framework for Interpretability and Computational Efficiency
A domain-adaptation framework that freezes feature encoders and searches decision boundaries for efficiency and interpretability.
成葛马
GeoFormer: Geometry-Aware Transformer and its application to 5D First-Arrival Picking
A geometry-aware transformer that injects acquisition geometry into prestack seismic representations for robust 5D first-arrival picking.
高马
Personalized Federated Learning via Gaussian Generative Modeling
Gaussian generative modeling of client heterogeneity with dual-scale fusion for personalized federated learning.
胡马
Robust Losses from Univariate Base Functions for Noisy-Label Learning
A systematic framework for constructing analyzable multiclass robust losses from univariate base functions under label noise.
胡马
Spectral Convolutional Neural Networks for Ground Roll Attenuation
A spectral convolutional neural-network approach to coherent ground-roll attenuation, currently recorded as revised.
高马
Towards Foundation Model-Driven Geophysical Inversion by Low-Rank Adaptation and Attention Gates
A parameter-efficient velocity-model-building workflow combining attention gates and enhanced LoRA to adapt multimodal initial velocity, RTM and sparse well information.
马
Foundation Models for Exploration Geophysics
A review of the hierarchy, development workflow, applications and challenges of foundation models for exploration geophysics, including agents and copilots.
刘马
Interpolation-Inspired Self-Supervised Method for Seismic Deblending
An interpolation-inspired self-supervised formulation for seismic deblending that learns interference-attenuation representations without complete labels.
胡马
Seismology Modeling Agent: A Smart Assistant for Geophysical Researchers
SPECFEM MCP serversMCP server suites expose SPECFEM 2D, 3D Cartesian and 3D Globe parameter, meshing, solver and visualization workflows to automated and human-in-the-loop agents.
马
Generative Interpolation via Diffusion Probabilistic Model
A diffusion-probabilistic approach that learns seismic data distributions for generative missing-trace interpolation.
刘马
HC-MVSNet: A Probability Sampling-Based Multi-View-Stereo Network with Hybrid Cascade Structure for 3D Reconstruction
A hybrid-cascade multi-view stereo network that decouples feature resolution from depth intervals and uses probability sampling for accurate, complete 3D reconstruction.
高马
FWIGAN: Full-Waveform Inversion via a Physics-Informed Generative Adversarial Network
FWIGAN implementationA physics-informed adversarial formulation that updates velocity models through an acoustic-wave-equation generator.
马
Sensing Prior Constraints in Deep Neural Networks for Solving Exploration Geophysical Problems
Three strategies for embedding geological and geophysical prior constraints into data, neural layers and learning objectives.
马
Deep Learning for Geophysics: Current and Future Trends
A broad review of deep learning across exploration geophysics, seismology and remote sensing, with challenges and future directions.
马
Deep Learning for Denoising
MathGeo toolboxA systematic study of supervised deep learning for seismic denoising and the role of data and label quality.
马
Deep-Learning Inversion: A Next-Generation Seismic Velocity Model Building Method
FCNVMB implementationA fully convolutional mapping from multishot seismic records to velocity models for rapid next-generation model building.
马
Seismic Data Restoration via Data-Driven Tight Frame
MathGeo toolboxAdaptive tight-frame filters learned from the current estimate for sparse restoration of missing seismic traces.
马
Seismic Data Reconstruction via Matrix Completion
A low-rank matrix-completion formulation for reconstructing sparsely and incompletely sampled seismic traces.
马
The Curvelet Transform
A review of the multiscale, multidirectional curvelet transform and its applications in imaging and scientific computing.
马
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