Zhuo Jia

According to our database, Zhuo Jia authored at least 19 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Enhanced Electrical Resistivity Tomography With Prior Physical Information.

Zhuo Jia, Meijia Huang, Zhijun Huo, Yabin Li

IEEE Geosci. Remote. Sens. Lett., 2025

Enhanced Ground-Penetrating Radar Inversion With Closed-Loop Convolutional Neural Networks.

Meijia Huang, Jieyong Liang, Ziyang Zhou, Xuelei Li, Zhijun Huo, Zhuo Jia

IEEE Geosci. Remote. Sens. Lett., 2025

2024

Rock Layer Classification and Identification in Ground-Penetrating Radar via Machine Learning.

Hong Xu, Jie Yan, Guang-Liang Feng, Zhuo Jia, Peiqi Jing

Remote. Sens., April, 2024

SEMI Net: Seismic-Electromagnetic Joint Inversion Network.

Yonghao Wang, Zhuo Jia, Wenkai Lu

IEEE Trans. Geosci. Remote. Sens., 2024

Physics-Driven Neural Network for Interval Q Inversion.

Yonghao Wang, Wei Cao, Weiheng Geng, Zhuo Jia, Wenkai Lu

IEEE Trans. Geosci. Remote. Sens., 2024

Deep Learning Inversion for Multivariate Magnetic Data.

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

IEEE Trans. Geosci. Remote. Sens., 2024

GPR Closed-Loop Denoising Based on Bandpass Filtering Constraints.

Xianghao Liu, Sixin Liu, Zhuo Jia, Declan Vogt, Sen Tian, Xintong Liu, Qi Lu

IEEE Trans. Geosci. Remote. Sens., 2024

Machine Learning-Enhanced Interpolation of Gravity-Assisted Magnetic Data.

Hong Xu, Lvshen Zhao, Peiqi Jing, Jie Yan, Xuming Zhu, Zhuo Jia

IEEE Geosci. Remote. Sens. Lett., 2024

Self-Supervised Knowledge-Driven Method for 3-D Magnetic Inversion.

Yinshuo Li, Zhuo Jia, Wenkai Lu, Cao Song

IEEE Geosci. Remote. Sens. Lett., 2024

2023

Magnetotelluric Closed-Loop Inversion.

Zhuo Jia, Yonghao Wang, Yinshuo Li, Chenyang Xu, Xu Wang, Wenkai Lu

IEEE Trans. Geosci. Remote. Sens., 2023

Deep Learning for 3-D Magnetic Inversion.

Zhuo Jia, Yinshuo Li, Yonghao Wang, Yang Li, Songbai Jin, Yuxuan Li, Wenkai Lu

IEEE Trans. Geosci. Remote. Sens., 2023

Self-Supervised Knowledge-Driven Deep Learning for 3D Magnetic Inversion.

Yinshuo Li, Zhuo Jia, Wenkai Lu, Cao Song

CoRR, 2023

2022

Self-Supervised Deep Learning for 3D Gravity Inversion.

Yinshuo Li, Zhuo Jia, Wenkai Lu

IEEE Trans. Geosci. Remote. Sens., 2022

EMRNet: End-to-End Electrical Model Restoration Network.

Zhuo Jia, Yinshuo Li, Wenkai Lu, Ling Zhang, Patrice Monkam

IEEE Trans. Geosci. Remote. Sens., 2022

2021

Structural Characteristics of Moho Surface Based on Time Series Function of Natural Earthquakes.

Xuelei Li, Zhuo Jia, Nanqiao Du, Yi Xu, Gongbo Zhang

Remote. Sens., 2021

2015

Application of improved core vector machine in the prediction of algal blooms in Tolo Harbour.

Xiu Li, Jin Yu, Zhuo Jia, Huimin Wang

Proceedings of the 16th IEEE/ACIS International Conference on Software Engineering, 2015

A sewage outfall management system based on WebGIS: Design and implement.

Xiu Li, Zhuo Jia, Jin Yu, Zhixiong Yang

Proceedings of the 16th IEEE/ACIS International Conference on Software Engineering, 2015

2014

Harmful algal blooms prediction with machine learning models in Tolo Harbour.

Xiu Li, Jin Yu, Zhuo Jia, Jingdong Song

Proceedings of the International Conference on Smart Computing, 2014

Research on Visualization of Ocean Environment Data Using ArcGIS.

Xiu Li, Zhuo Jia, Jin Yu

Proceedings of the Geo-Informatics in Resource Management and Sustainable Ecosystem, 2014