Jingqian Shu

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dynamic convolutional model based on distribution-collaboration strategy for remote sensing scene classification.
Int. J. Digit. Earth
Chenjun Xu, Jingqian Shu, Zhenghan Wang, Jialin Wang
2025 J jnl
Lie Group Intrinsic Mean Feature Detectors for Real-Time Industrial Surface Defect Detection.
Symmetry
Chengjun Xu, Jingqian Shu, Zhenghan Wang, Jialin Wang
2024 J jnl
A Scene Classification Model Based on Global-Local Features and Attention in Lie Group Space.
Remote. Sens.
Chengjun Xu, Jingqian Shu, Zhenghan Wang, Jialin Wang
2023 J jnl
Adversarial Remote Sensing Scene Classification Based on Lie Group Feature Learning.
Remote. Sens.
Chengjun Xu, Jingqian Shu, Guobin Zhu
2023 J jnl
Multi-Feature Dynamic Fusion Cross-Domain Scene Classification Model Based on Lie Group Space.
Remote. Sens.
Chengjun Xu, Jingqian Shu, Guobin Zhu
2023 J jnl
Scene Classification Based on Heterogeneous Features of Multi-Source Data.
Remote. Sens.
Chengjun Xu, Jingqian Shu, Guobin Zhu
2022 J jnl
A Combination of Lie Group Machine Learning and Deep Learning for Remote Sensing Scene Classification Using Multi-Layer Heterogeneous Feature Extraction and Fusion.
Remote. Sens.
Chengjun Xu, Guobin Zhu, Jingqian Shu
2022 J jnl
A Lightweight and Robust Lie Group-Convolutional Neural Networks Joint Representation for Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens.
Chengjun Xu, Guobin Zhu, Jingqian Shu
2022 J jnl
Educational Data Mining: Dropout Prediction in XuetangX MOOCs.
Neural Process. Lett.
Chengjun Xu, Guobin Zhu, Jian Ye, Jingqian Shu
2021 J jnl
A Lightweight Intrinsic Mean for Remote Sensing Classification With Lie Group Kernel Function.
IEEE Geosci. Remote. Sens. Lett.
Chengjun Xu, Guobin Zhu, Jingqian Shu
2021 J jnl
Robust Joint Representation of Intrinsic Mean and Kernel Function of Lie Group for Remote Sensing Scene Classification.
IEEE Geosci. Remote. Sens. Lett.
Chengjun Xu, Guobin Zhu, Jingqian Shu