Changda Xing

27 papers C 2Journal 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
Context-enriched contrastive auto-encoder with topology learning for medical hyperspectral image classification to diagnose tumors.
Medical Image Anal.
Meiling Wang, Changda Xing, Yifang Wu, Cheng Wang
2026 J jnl
Hierarchical Gradient Preserved Network for High Resolution Hyperspectral Fusion Imaging.
IEEE Signal Process. Lett.
Changda Xing, Meiling Wang, Yongchang Xu, Cheng Wang
2026 J jnl
TCNet: Topological Consistency Network for Hyperspectral and Multispectral Image Fusion.
IEEE Geosci. Remote. Sens. Lett.
Changda Xing, Meiling Wang, Yongchang Xu, Cheng Wang
2025 J jnl
Error Mechanisms and Calibration Scheme for Low Bias Mode-Matched Micro Resonant Gyroscopes Under Ocean Environment.
IEEE Trans. Instrum. Meas.
Chong Li, Changda Xing, Jin Wu, Ming Zhou, Wei Qiao
2025 J jnl
TDAE: Tensored Deep Autoencoder for Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens.
Changda Xing, Meiling Wang, Xuesong Wang, Yuhu Cheng
2024 J jnl
Deep Ring-Block-Wise Network for Hyperspectral Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Changda Xing, Jianlong Zhao, Zhisheng Wang, Meiling Wang
2024 J jnl
Prescribed Time Tracking Controller for a Class of Nonholonomic Systems: Theory and Experiment.
IEEE Trans. Ind. Informatics
Yongchang Xu, Yuhua Cong, Changda Xing, Zhisheng Wang
2024 J jnl
SOML: Structure-Wise Ordinal Measure Learning for Hyperspectral Image Classification.
IEEE Trans. Instrum. Meas.
Changda Xing, Meiling Wang, Yongchang Xu, Zhisheng Wang
2023 J jnl
Binary feature learning with local spectral context-aware attention for classification of hyperspectral images.
Pattern Recognit.
Changda Xing, Chaowei Duan, Zhisheng Wang, Meiling Wang
2023 J jnl
Deep Margin Cosine Autoencoder-Based Medical Hyperspectral Image Classification for Tumor Diagnosis.
IEEE Trans. Instrum. Meas.
Meiling Wang, Yongchang Xu, Zhisheng Wang, Changda Xing
2023 J jnl
Deep Network With Irregular Convolutional Kernels and Self-Expressive Property for Classification of Hyperspectral Images.
IEEE Trans. Neural Networks Learn. Syst.
Changda Xing, Yuhua Cong, Chaowei Duan, Zhisheng Wang, Meiling Wang
2023 J jnl
Sparse coding with morphology segmentation and multi-label fusion for hyperspectral image super-resolution.
Comput. Vis. Image Underst.
Changda Xing, Meiling Wang, Yuhua Cong, Zhisheng Wang, Chaowei Duan, Yiliu Liu
2022 J jnl
Deep Encoder With Kernel-Wise Taylor Series for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Changda Xing, Jianlong Zhao, Chaowei Duan, Zhisheng Wang, Meiling Wang
2022 J jnl
Diagonalized Low-Rank Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Changda Xing, Meiling Wang, Zhisheng Wang, Chaowei Duan, Yiliu Liu
2022 J jnl
Fusion of Hyperspectral and Multispectral Images by Convolutional Sparse Representation.
IEEE Geosci. Remote. Sens. Lett.
Changda Xing, Yuhua Cong, Zhisheng Wang, Meiling Wang
2022 J jnl
Fusion of Infrared and Visible Images Using Fast Global Smoothing Decomposition and Target-Enhanced Parallel Gaussian Fuzzy Logic.
Sensors
Chaowei Duan, Changda Xing, Yiliu Liu, Zhisheng Wang
2021 C conf
A Binary Feature Representation Method for Hyperspectral Image Classification.
IGARSS
Changda Xing, Meiling Wang, Zhisheng Wang, Chaowei Duan, Yiliu Liu
2021 J jnl
A non-local propagation filtering scheme for edge-preserving in variational optical flow computation.
Signal Process. Image Commun.
Chong Dong, Zhisheng Wang, Jiaming Han, Changda Xing, Shufang Tang
2021 C conf
Group-Aware Low-Rank Representation for Hyperspectral Image Classification.
IGARSS
Changda Xing, Meiling Wang, Zhisheng Wang, Chaowei Duan, Yiliu Liu
2020 J jnl
Joint sparse-collaborative representation to fuse hyperspectral and multispectral images.
Signal Process.
Changda Xing, Meiling Wang, Chong Dong, Chaowei Duan, Zhisheng Wang
2020 J jnl
Two-scale fusion method of infrared and visible images via parallel saliency features.
IET Image Process.
Chaowei Duan, Changda Xing, Shanshan Lu, Zhisheng Wang
2020 J jnl
Using Taylor Expansion and Convolutional Sparse Representation for Image Fusion.
Neurocomputing
Changda Xing, Meiling Wang, Chong Dong, Chaowei Duan, Zhisheng Wang
2019 J jnl
Fusion of infrared and visible images with Gaussian smoothness and joint bilateral filtering iteration decomposition.
IET Comput. Vis.
Changda Xing, Zhisheng Wang, Fan-liang Meng, Chong Dong
2019 J jnl
Image fusion method based on spatially masked convolutional sparse representation.
Image Vis. Comput.
Changda Xing, Zhisheng Wang, Quan Ouyang, Chong Dong, Chaowei Duan
2019 J jnl
Occlusion Detection of Dense Correspondence Fields Using Motion Statistics and Triangulation.
IEEE Access
Chong Dong, Zhisheng Wang, Changda Xing, Jiaming Han, Pingan Huang
2018 J jnl
Method based on bitonic filtering decomposition and sparse representation for fusion of infrared and visible images.
IET Image Process.
Changda Xing, Zhisheng Wang, Quan Ouyang, Chong Dong
2018 J jnl
Rapid handling of outliers in dense sampling descriptor correspondence fields.
J. Electronic Imaging
Chong Dong, Zhisheng Wang, Changda Xing, Yuan Xue