✧ first author | 3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information
Published in arXiv, Submit to IEEE TGRS, 2024
A new deep learning method for 3-D magnetotelluric inversion.
Published in arXiv, Submit to IEEE TGRS, 2024
A new deep learning method for 3-D magnetotelluric inversion.
Published in IEEE Transactions on Geoscience and Remote Sensing, 2024
3-D seismic data interpolation and reconstruction using Diffusion Model.
Published in IEEE Transactions on Geoscience and Remote Sensing, 2024
Propose a two channel mask strategy to improve the accuracy and generalization of first break picking.
Published in IEEE Transactions on Geoscience and Remote Sensing, 2024
Implementing 3-D magnetotelluric(MT) forward modeling with certain generalization through deep learning network.
Published in Computers in Biology and Medicine, 2024
Deep learning-based EEG denoising techniques leverage the Retentive Network (Retnet) from large-scale language models.
Published in IEEE Transactions on Geoscience and Remote Sensing, 2024
Using Diffusion Model for denoising Semi-Aerial Electromagnetic signals.
Published in IEEE Geoscience and Remote Sensing Letters, 2024
A remote sensing image segmentation network with both performance and efficiency.
Published in IEEE Geoscience and Remote Sensing Letters, 2023
High precision first break picking achieved using MSA based Swin Transformer.
Published in Sensors, 2023
Proposed a lightweight speaker recognition network based on ResNet.