23 citations · 35 across the 8 of their papers we have counts for
8 papers
OpenEM: Large-scale multi-structural 3D datasets for electromagnetic methods
Shuang Wang, Xuben Wang, Fei Deng +3
Electromagnetic (EM) methods, owing to their efficiency and non-invasive nature, have become one of the most widely used techniques in geological exploration. Nevertheless, data pr…
SeisRDT: Latent Diffusion Model Based On Representation Learning For Seismic Data Interpolation And Reconstruction
Shuang Wang, Fei Deng, Peifan Jiang +2
Due to limitations such as geographic, physical, or economic factors, collected seismic data often have missing traces. Traditional seismic data reconstruction methods face the cha…
Interpretable Deep Learning Paradigm for Airborne Transient Electromagnetic Inversion
Shuang Wang, Xuben Wang, Fei Deng +2
The extraction of geoelectric structural information from airborne transient electromagnetic (ATEM) data primarily involves data processing and inversion. Conventional methods rely…
SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote Sensing
Bin Wang, Fei Deng, Shuang Wang +3
Semantic segmentation of remote sensing (RS) images is a challenging yet essential task with broad applications. While deep learning, particularly supervised learning with large-sc…
3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information
Peifan Jiang, Xuben Wang, Shuang Wang +4
Magnetotelluric deep learning (DL) inversion methods based on joint data-driven and physics-driven have become a hot topic in recent years. When mapping observation data (or forwar…
EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive Network
Bin Wang, Fei Deng, Peifan Jiang
Electroencephalogram (EEG) signals play a pivotal role in clinical medicine, brain research, and neurological disease studies. However, susceptibility to various physiological and…
WiTUnet: A U-Shaped Architecture Integrating CNN and Transformer for Improved Feature Alignment and Local Information Fusion
Bin Wang, Fei Deng, Peifan Jiang +3
Low-dose computed tomography (LDCT) has become the technology of choice for diagnostic medical imaging, given its lower radiation dose compared to standard CT, despite increasing i…
SeisFusion: Constrained Diffusion Model with Input Guidance for 3D Seismic Data Interpolation and Reconstruction
Shuang Wang, Fei Deng, Peifan Jiang +3
Geographical, physical, or economic constraints often result in missing traces within seismic data, making the reconstruction of complete seismic data a crucial step in seismic dat…