Jingqian Shu

According to our database, Jingqian Shu authored at least 8 papers between 2021 and 2023.

Collaborative distances:

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

2023

Multi-Feature Dynamic Fusion Cross-Domain Scene Classification Model Based on Lie Group Space.

Chengjun Xu, Jingqian Shu, Guobin Zhu

Remote. Sens., October, 2023

Adversarial Remote Sensing Scene Classification Based on Lie Group Feature Learning.

Chengjun Xu, Jingqian Shu, Guobin Zhu

Remote. Sens., February, 2023

Scene Classification Based on Heterogeneous Features of Multi-Source Data.

Chengjun Xu, Jingqian Shu, Guobin Zhu

Remote. Sens., January, 2023

2022

A Lightweight and Robust Lie Group-Convolutional Neural Networks Joint Representation for Remote Sensing Scene Classification.

Chengjun Xu, Guobin Zhu, Jingqian Shu

IEEE Trans. Geosci. Remote. Sens., 2022

A Combination of Lie Group Machine Learning and Deep Learning for Remote Sensing Scene Classification Using Multi-Layer Heterogeneous Feature Extraction and Fusion.

Chengjun Xu, Guobin Zhu, Jingqian Shu

Remote. Sens., 2022

Educational Data Mining: Dropout Prediction in XuetangX MOOCs.

Chengjun Xu, Guobin Zhu, Jian Ye, Jingqian Shu

Neural Process. Lett., 2022

2021

A Lightweight Intrinsic Mean for Remote Sensing Classification With Lie Group Kernel Function.

Chengjun Xu, Guobin Zhu, Jingqian Shu

IEEE Geosci. Remote. Sens. Lett., 2021

Robust Joint Representation of Intrinsic Mean and Kernel Function of Lie Group for Remote Sensing Scene Classification.

Chengjun Xu, Guobin Zhu, Jingqian Shu

IEEE Geosci. Remote. Sens. Lett., 2021