Kunxi Wang

发表

Unsupervised Learning for Seismic Internal Multiple Suppression Based on Adaptive Virtual Events

Shangxu Wang, T. Hu, Kunxi Wang, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Deblending of Seismic Data Based on Neural Network Trained in the CSG

T. Hu, Kunxi Wang, 2022, IEEE Transactions on Geoscience and Remote Sensing.

An Unsupervised Deep Neural Network Approach Based on Ensemble Learning to Suppress Seismic Surface-Related Multiples

T. Hu, Kunxi Wang, Bangliu Zhao, 2022, IEEE Transactions on Geoscience and Remote Sensing.

A multi‐data training method for a deep neural network to improve the separation effect of simultaneous‐source data

W. Mao, Kunxi Wang, Huang Song, 2022, Geophysical Prospecting.

Random Noise Attenuation Using an Unsupervised Deep Neural Network Method Based on Local Orthogonalization and Ensemble Learning

Shangxu Wang, T. Hu, Kunxi Wang, 2023, IEEE Transactions on Geoscience and Remote Sensing.

An Unsupervised Deep Learning Method for Direct Seismic Deblending in Shot Domain

Shangxu Wang, T. Hu, Kunxi Wang, 2023, IEEE Transactions on Geoscience and Remote Sensing.

An unsupervised learning approach to deblend seismic data from denser shot coverage surveys

Shangxu Wang, T. Hu, Kunxi Wang, 2022, Geophysical Journal International.

Surface-related multiple attenuation based on self-supervised deep neural network with local wavefield characteristics

Shangxu Wang, T. Hu, Kunxi Wang, 2023, GEOPHYSICS.

An Unsupervised Learning Method to Suppress Seismic Internal Multiples Based on Adaptive Virtual Events and Joint Constraints of Multiple Deep Neural Networks

Shangxu Wang, T. Hu, Kunxi Wang, 2023, IEEE Transactions on Geoscience and Remote Sensing.