Method based on bitonic filtering decomposition and sparse representation for fusion of infrared and visible images. - Changda Xing; Zhisheng Wang; Quan Ouyang; Chong Dong (IET Image Process., 2018)

Rapid handling of outliers in dense sampling descriptor correspondence fields. - Chong Dong; Zhisheng Wang; Changda Xing; Yuan Xue (J. Electronic Imaging, 2018)

Occlusion Detection of Dense Correspondence Fields Using Motion Statistics and Triangulation. - Chong Dong; Zhisheng Wang; Changda Xing; Jiaming Han; Pingan Huang (IEEE Access, 2019)

Fusion of infrared and visible images with Gaussian smoothness and joint bilateral filtering iteration decomposition. - Changda Xing; Zhisheng Wang; Fan-liang Meng; Chong Dong (IET Comput. Vis., 2019)

Image fusion method based on spatially masked convolutional sparse representation. - Changda Xing; Zhisheng Wang; Quan Ouyang; Chong Dong; Chaowei Duan (Image Vis. Comput., 2019)

Two-scale fusion method of infrared and visible images via parallel saliency features. - Chaowei Duan; Changda Xing; Shanshan Lu; Zhisheng Wang (IET Image Process., 2020)

Using Taylor Expansion and Convolutional Sparse Representation for Image Fusion. - Changda Xing; Meiling Wang 001; Chong Dong; Chaowei Duan; Zhisheng Wang (Neurocomputing, 2020)

Joint sparse-collaborative representation to fuse hyperspectral and multispectral images. - Changda Xing; Meiling Wang 001; Chong Dong; Chaowei Duan; Zhisheng Wang (Signal Process., 2020)

A Binary Feature Representation Method for Hyperspectral Image Classification. - Changda Xing; Meiling Wang 001; Zhisheng Wang; Chaowei Duan; Yiliu Liu (IGARSS, 2021)

Group-Aware Low-Rank Representation for Hyperspectral Image Classification. - Changda Xing; Meiling Wang 001; Zhisheng Wang; Chaowei Duan; Yiliu Liu (IGARSS, 2021)

A non-local propagation filtering scheme for edge-preserving in variational optical flow computation. - Chong Dong; Zhisheng Wang; Jiaming Han; Changda Xing; Shufang Tang (Signal Process. Image Commun., 2021)

Fusion of Hyperspectral and Multispectral Images by Convolutional Sparse Representation. - Changda Xing; Yuhua Cong; Zhisheng Wang; Meiling Wang 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Fusion of Infrared and Visible Images Using Fast Global Smoothing Decomposition and Target-Enhanced Parallel Gaussian Fuzzy Logic. - Chaowei Duan; Changda Xing; Yiliu Liu; Zhisheng Wang (Sensors, 2022)

Diagonalized Low-Rank Learning for Hyperspectral Image Classification. - Changda Xing; Meiling Wang 001; Zhisheng Wang; Chaowei Duan; Yiliu Liu (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Encoder With Kernel-Wise Taylor Series for Hyperspectral Image Classification. - Changda Xing; Jianlong Zhao; Chaowei Duan; Zhisheng Wang; Meiling Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Binary feature learning with local spectral context-aware attention for classification of hyperspectral images. - Changda Xing; Chaowei Duan; Zhisheng Wang; Meiling Wang 001 (Pattern Recognit., 2023)

Deep Margin Cosine Autoencoder-Based Medical Hyperspectral Image Classification for Tumor Diagnosis. - Meiling Wang 001; Yongchang Xu; Zhisheng Wang; Changda Xing (IEEE Trans. Instrum. Meas., 2023)

Sparse coding with morphology segmentation and multi-label fusion for hyperspectral image super-resolution. - Changda Xing; Meiling Wang 001; Yuhua Cong; Zhisheng Wang; Chaowei Duan; Yiliu Liu (Comput. Vis. Image Underst., 2023)

Deep Network With Irregular Convolutional Kernels and Self-Expressive Property for Classification of Hyperspectral Images. - Changda Xing; Yuhua Cong; Chaowei Duan; Zhisheng Wang; Meiling Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

SOML: Structure-Wise Ordinal Measure Learning for Hyperspectral Image Classification. - Changda Xing; Meiling Wang 001; Yongchang Xu; Zhisheng Wang (IEEE Trans. Instrum. Meas., 2024)

Prescribed Time Tracking Controller for a Class of Nonholonomic Systems: Theory and Experiment. - Yongchang Xu; Yuhua Cong; Changda Xing; Zhisheng Wang (IEEE Trans. Ind. Informatics, 2024)

Deep Ring-Block-Wise Network for Hyperspectral Image Classification. - Changda Xing; Jianlong Zhao; Zhisheng Wang; Meiling Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

TDAE: Tensored Deep Autoencoder for Classification of Hyperspectral Images. - Changda Xing; Meiling Wang 001; Xuesong Wang 001; Yuhu Cheng (IEEE Trans. Geosci. Remote. Sens., 2025)

Error Mechanisms and Calibration Scheme for Low Bias Mode-Matched Micro Resonant Gyroscopes Under Ocean Environment. - Chong Li 006; Changda Xing; Jin Wu 002; Ming Zhou; Wei Qiao (IEEE Trans. Instrum. Meas., 2025)