Shuang Liu

According to our database, Shuang Liu authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Gravity and Magnetic Data Extraction Based on Multispatial Sparsity Optimization.

Dan Zhu, Xiangyun Hu, Shuang Liu, Danping Cao

IEEE Trans. Geosci. Remote. Sens., 2025

2024

Deep Learning Inversion for Multivariate Magnetic Data.

Xiaoqing Shi, Zhuo Jia, Hua Geng, Shuang Liu, Yinshuo Li

IEEE Trans. Geosci. Remote. Sens., 2024

Deep Temperature-Field Prediction Utilizing the Temperature-Pressure-Coupled Resistivity Model: A Case Study in the Xiong'an New Area, China.

Guoshu Huang, Xiangyun Hu, Shuang Liu, Ronghua Peng, Junjun Zhou, Ningbo Bai, Liang Liu, Mangen Mu

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Adaptive Mesh-Free Approach for Gravity Inversion Using Modified Radial Basis Function.

Yan Liu, Yao Huang, Qingtian Lü, Shuang Liu

IEEE Trans. Geosci. Remote. Sens., 2023

2022

An Efficient Alternating Algorithm for the Lₚ-Norm Cross-Gradient Joint Inversion of Gravity and Magnetic Data Using the 2-D Fast Fourier Transform.

Saeed Vatankhah, Shuang Liu, Rosemary Anne Renaut, Xiangyun Hu, Jarom D. Hogue, Mostafa Gharloghi

IEEE Trans. Geosci. Remote. Sens., 2022

Identifying the Lineament Structure Cooperatively Using the Airborne Gravimetric, Magnetic, and Remote Sensing Data: A Case Study From the Pobei Area, NW China.

Guoli Li, Shuang Liu, Xiange Jian, Dan Zhu, Lihua Fu, Tao Chen, Xiangyun Hu

IEEE Trans. Geosci. Remote. Sens., 2022

Magnetization Vector Inversion Based on Amplitude and Gradient Constraints.

Xiaoqing Shi, Hua Geng, Shuang Liu

Remote. Sens., 2022

3-D Gravity Inversion Based on Deep Convolution Neural Networks.

Qianguo Yang, Xiangyun Hu, Shuang Liu, Qu Jie, Huaijiang Wang, Qiuhua Chen

IEEE Geosci. Remote. Sens. Lett., 2022

2020

Imaging Methods Versus Inverse Methods: An Option or An Alternative?

Shuang Liu, Jamaledin Baniamerian, Maurizio Fedi

IEEE Trans. Geosci. Remote. Sens., 2020

Generalized L$_p$-norm joint inversion of gravity and magnetic data using cross-gradient constraint.

Saeed Vatankhah, Shuang Liu, Rosemary A. Renaut, Xiangyun Hu, Mostafa Gharloghi

CoRR, 2020

2019

Improving the use of the randomized singular value decomposition for the inversion of gravity and magnetic data.

Saeed Vatankhah, Shuang Liu, Rosemary A. Renaut, Xiangyun Hu, Jamaledin Baniamerian

CoRR, 2019