3 papers
cs.LG2026
Transcending Classical Neural Network Boundaries: A Quantum-Classical Synergistic Paradigm for Seismic Data Processing
Zhengyi Yuan, Xintong Dong, Xinyang Wang +2
In recent years, a number of neural-network (NN) methods have exhibited good performance in seismic data processing, such as denoising, interpolation, and frequency-band extension.…
physics.geo-ph2025
Light-weighted foundation model for seismic data processing based on representative and non-redundant pre-training dataset
Xintong Dong, Wenshuo Yu, Jun Lin +3
In the fields of computer vision (CV) and remote sensing (RS), foundational models typically follow the "big data + large model parameters" paradigm. However, the application of th…
physics.geo-ph2025
PreAdaptFWI: Pretrained-Based Adaptive Residual Learning for Full-Waveform Inversion Without Dataset Dependency
Xintong Dong, Zhengyi Yuan, Jun Lin +3
Full-waveform inversion (FWI) is a method that utilizes seismic data to invert the physical parameters of subsurface media by minimizing the difference between simulated and observ…