activity
20182026
most citedInvisible Steganography via Generative Adversarial Networks

21 citations · 22 across the 9 of their papers we have counts for

collaborators

10 papers

physics.geo-ph2026

A Review of Deep-learning-based Seismic Data Denoising and Its Promising Paradigm Shift to Foundation Models

Xintong Dong, Zhengyi Yuan, Changxin Wei +3

Denoising is a long-standing and widely-concerned topic in seismic data processing, for it can significantly increase the signal-to-noise ratio of seismic data. Numerous deep learn…

physics.geo-ph2026

Horizontal-Component Prior-based Framework for Adaptive Shear-wave Leakage Suppression in OBC Data

Zheng Cong, Shiqi Dong, Xintong Dong +1

Shear-wave leakage in the vertical (Z) component of ocean-bottom cable (OBC) seismic data commonly results from the receiver tilt and poor seafloor coupling, introducing unwanted c…

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

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…

physics.geo-ph2024

Transformer for seismic image super-resolution

Shiqi Dong, Xintong Dong, Kaiyuan Zheng +3

Seismic images obtained by stacking or migration are usually characterized as low signal-to-noise ratio (SNR), low dominant frequency and sparse sampling both in depth (or time) an…

physics.geo-ph2024

Self-Supervised Diffusion Model for 3-D Seismic Data Reconstruction

Xinyang Wang, Qianyu Ge, Xintong Dong +2

Seismic data reconstruction is an effective tool for compensating nonuniform and incomplete seismic geometry. Compared with methods for 2D seismic data, 3D reconstruction methods c…

physics.geo-ph2024★ 1 cited

MAE-GAN: A Novel Strategy for Simultaneous Super-resolution Reconstruction and Denoising of Post-stack Seismic Profile

Wenshuo Yu, Shiqi Dong, Shaoping Lu +1

Post-stack seismic profiles are images reflecting containing geological structures which provides a critical foundation for understanding the distribution of oil and gas resources.…

physics.geo-ph2024

Transformer For Low-frequency Extrapolating of Seismic Data

Zheng Cong, Xintong Dong, Shaoping Lu +2

Full waveform inversion (FWI) is used to reconstruct the physical properties of subsurface media which plays an important role in seismic exploration. However, the precision of FWI…

physics.geo-ph2024

Modeling Seismic Wave Propagation in TTI Media Using Residual Perfectly Matched Layer

Yuqin Luo, Xintong Dong, Shiqi Dong +4

The perfectly matched layer(PML) is commonly used in wave propagation, radiation and diffraction problems in unbounded space domains. A new implementation scheme of PML is presente…

cs.MM2018★ 21 cited

Invisible Steganography via Generative Adversarial Networks

Ru Zhang, Shiqi Dong, Jianyi Liu

Nowadays, there are plenty of works introducing convolutional neural networks (CNNs) to the steganalysis and exceeding conventional steganalysis algorithms. These works have shown…