| Using Taylor expansion and convolutional sparse representation for image fusion C Xing, M Wang, C Dong, C Duan, Z Wang Neurocomputing 402, 437-455, 2020 | 55 | 2020 |
| Infrared and visible image fusion using multi-scale edge-preserving decomposition and multiple saliency features C Duan, Z Wang, C Xing, S Lu Optik 228, 165775, 2021 | 22 | 2021 |
| Joint sparse-collaborative representation to fuse hyperspectral and multispectral images C Xing, M Wang, C Dong, C Duan, Z Wang Signal Processing 173, 107585, 2020 | 22 | 2020 |
| Image fusion method based on spatially masked convolutional sparse representation C Xing, Z Wang, Q Ouyang, C Dong, C Duan Image and Vision Computing 90, 103806, 2019 | 17 | 2019 |
| Deep margin cosine autoencoder based medical hyperspectral image classification for tumor diagnosis M Wang, Y Xu, Z Wang, C Xing IEEE Transactions on Instrumentation and Measurement, 2023 | 14 | 2023 |
| Deep network with irregular convolutional kernels and self-expressive property for classification of hyperspectral images C Xing, Y Cong, C Duan, Z Wang, M Wang IEEE Transactions on Neural Networks and Learning Systems 34 (12), 10747-10761, 2022 | 14 | 2022 |
| Method based on bitonic filtering decomposition and sparse representation for fusion of infrared and visible images C Xing, Z Wang, Q Ouyang, C Dong IET Image Processing 12 (12), 2300-2310, 2018 | 13 | 2018 |
| Fusion of infrared and visible images with Gaussian smoothness and joint bilateral filtering iteration decomposition C Xing, Z Wang, F Meng, C Dong IET Computer Vision 13 (1), 44-52, 2019 | 12 | 2019 |
| Binary feature learning with local spectral context-aware attention for classification of hyperspectral images C Xing, C Duan, Z Wang, M Wang Pattern Recognition 134, 109123, 2023 | 8 | 2023 |
| Fusion of infrared and visible images with propagation filtering C Xing, Z Wang, C Dong Infrared Physics & Technology 94, 232-243, 2018 | 8 | 2018 |
| Fusion of hyperspectral and multispectral images by convolutional sparse representation C Xing, Y Cong, Z Wang, M Wang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 6 | 2022 |
| Fusion of infrared and visible images using fast global smoothing decomposition and target-enhanced parallel gaussian fuzzy logic C Duan, C Xing, Y Liu, Z Wang Sensors 22 (1), 40, 2021 | 5 | 2021 |
| Infrared and Visible Image Fusion Using Truncated Huber Penalty Function Smoothing and Visual Saliency Based Threshold Optimization C Duan, Y Liu, C Xing, Z Wang Electronics 11 (1), 33, 2021 | 4 | 2021 |
| Sparse coding with morphology segmentation and multi-label fusion for hyperspectral image super-resolution C Xing, M Wang, Y Cong, Z Wang, C Duan, Y Liu Computer Vision and Image Understanding 227, 103603, 2023 | 3 | 2023 |
| Two‐scale fusion method of infrared and visible images via parallel saliency features C Duan, C Xing, S Lu, Z Wang IET Image Processing 14 (16), 4412-4423, 2020 | 2 | 2020 |
| Prescribed Time Tracking Controller for a Class of Nonholonomic Systems: Theory and Experiment Y Xu, Y Cong, C Xing, Z Wang IEEE Transactions on Industrial Informatics, 2024 | 1 | 2024 |
| SOML: Structure-Wise Ordinal Measure Learning for Hyperspectral Image Classification C Xing, M Wang, Y Xu, Z Wang IEEE Transactions on Instrumentation and Measurement, 2023 | 1 | 2023 |
| Deep ring-block-wise network for hyperspectral image classification C Xing, J Zhao, Z Wang, M Wang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 1 | 2023 |
| Deep encoder with kernel-wise Taylor series for hyperspectral image classification C Xing, J Zhao, C Duan, Z Wang, M Wang IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 1 | 2022 |
| Group-aware low-rank representation for hyperspectral image classification C Xing, M Wang, Z Wang, C Duan, Y Liu 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 3625 …, 2021 | 1 | 2021 |
