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2020 – today
- 2024
[j19]Ling Chen, Xiangming Jiang
, Yuhong Wang:
A Bayesian network learning method for sparse and unbalanced data with GNN-based multilabel classification application. Appl. Soft Comput. 154: 111393 (2024)- [j18]Xiangming Jiang, Tianqi Gao, Maoguo Gong, Fenlong Jiang, Mingyang Zhang, Jieyi Liu:
Multiobjective sparse unmixing based hyperspectral change detection. Appl. Soft Comput. 166: 112160 (2024) - [j17]Jianzhao Li, Maoguo Gong, Jinxin Wei, Yourun Zhang, Yue Zhao, Shanfeng Wang, Xiangming Jiang:
Evolutionary multitasking cooperative transfer for multiobjective hyperspectral sparse unmixing. Knowl. Based Syst. 285: 111306 (2024) - [c7]Chonghua Lv, Wei Wang, Dou Quan, Shuang Wang, Le Dong, Xiangming Jiang, Yu Gu, Licheng Jiao:
Fourier Domain Adaptive Multi-Modal Remote Sensing Image Template Matching Based on Siamese Network. IGARSS 2024: 7325-7329 - [c6]Jiaxin Zhang, Mingyang Zhang, Maoguo Gong, Fenlong Jiang, Xiangming Jiang, Yu Zhou, Dan Feng:
Unsupervised Domain Adaptation for Cross-Scene Hyperspectral Image Classification Based on Decoupled Contrastive Learning. IJCNN 2024: 1-8 - 2023
- [j16]Tao Zhan, Maoguo Gong, Xiangming Jiang, Erlei Zhang:
S3Net: Superpixel-Guided Self-Supervised Learning Network for Multitemporal Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j15]Mingyang Zhang, Hanhong Zheng, Maoguo Gong, Yue Wu, Hao Li, Xiangming Jiang:
Self-structured pyramid network with parallel spatial-channel attention for change detection in VHR remote sensed imagery. Pattern Recognit. 138: 109354 (2023) - [j14]Mingyang Zhang, Hao Liu, Maoguo Gong, Hao Li, Yue Wu, Xiangming Jiang:
Cross-Domain Self-Taught Network for Few-Shot Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-19 (2023) - 2022
- [j13]Tao Zhan, Maoguo Gong, Xiangming Jiang, Wei Zhao:
Transfer Learning-Based Bilinear Convolutional Networks for Unsupervised Change Detection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j12]Xiangming Jiang, Yizhe Zhao, Maoguo Gong, Tao Zhan, Mingyang Zhang:
A Vertex-Directed Evolutionary Algorithm for Multiobjective Endmember Estimation. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [c5]Pu Xiong, Xiangming Jiang, Runyu Wang, Hao Li, Yue Wu, Maoguo Gong:
Evolutionary Multitasking Optimization for Multiobjective Hyperspectral Band Selection. CICAI (3) 2022: 374-385 - [i2]Xiaolong Fan, Maoguo Gong, Yue Wu, Mingyang Zhang, Hao Li, Xiangming Jiang:
Towards Consistency and Complementarity: A Multiview Graph Information Bottleneck Approach. CoRR abs/2210.05676 (2022) - [i1]Mingyang Zhang, Ziqi Di, Maoguo Gong, Yue Wu, Hao Li, Xiangming Jiang:
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification. CoRR abs/2211.07316 (2022) - 2021
- [j11]Xiangming Jiang, Maoguo Gong, Tao Zhan, Hao Li:
Geodesic simplex based multiobjective endmember extraction for nonlinear hyperspectral mixtures. Inf. Sci. 577: 398-423 (2021) - [j10]Xiangming Jiang, Maoguo Gong, Tao Zhan, Kai Sheng, Mingliang Xu:
Efficient Two-Phase Multiobjective Sparse Unmixing Approach for Hyperspectral Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2418-2431 (2021) - 2020
- [j9]Tao Zhan, Maoguo Gong, Xiangming Jiang, Mingyang Zhang:
Unsupervised Scale-Driven Change Detection With Deep Spatial-Spectral Features for VHR Images. IEEE Trans. Geosci. Remote. Sens. 58(8): 5653-5665 (2020) - [j8]Xiangming Jiang, Maoguo Gong, Tao Zhan, Mingyang Zhang:
Multiobjective Endmember Extraction Based on Bilinear Mixture Model. IEEE Trans. Geosci. Remote. Sens. 58(11): 8192-8210 (2020)
2010 – 2019
- 2019
- [j7]Maoguo Gong, Xiangming Jiang, Hao Li, Kay Chen Tan:
Multiobjective Sparse Non-Negative Matrix Factorization. IEEE Trans. Cybern. 49(8): 2941-2954 (2019) - 2018
- [j6]Jingjing Ma, Xiangming Jiang, Maoguo Gong:
Two-phase clustering algorithm with density exploring distance measure. CAAI Trans. Intell. Technol. 3(1): 59-64 (2018) - [j5]Tao Wu, Jiao Shi, Xiangming Jiang, Deyun Zhou, Maoguo Gong:
A multi-objective memetic algorithm for low rank and sparse matrix decomposition. Inf. Sci. 468: 172-192 (2018) - [j4]Tao Zhan, Maoguo Gong, Xiangming Jiang, Shuwei Li:
Log-Based Transformation Feature Learning for Change Detection in Heterogeneous Images. IEEE Geosci. Remote. Sens. Lett. 15(9): 1352-1356 (2018) - [j3]Xiangming Jiang, Maoguo Gong, Hao Li, Mingyang Zhang, Jun Li:
A Two-Phase Multiobjective Sparse Unmixing Approach for Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 56(1): 508-523 (2018) - [c4]Xiangming Jiang, Maoguo Gong, Tao Zhan, Zedong Tang:
Multiobjective sparse unmixing approach with noise removal. GECCO 2018: 681-688 - [c3]Tao Zhan, Zedong Tang, Maoguo Gong, Xiangming Jiang, Jiao Shi:
Decomposition-based multiobjective particle swarm optimization for change detection in SAR images. GECCO (Companion) 2018: 1729-1736 - 2017
- [j2]Maoguo Gong, Xiangming Jiang, Hao Li:
Optimization methods for regularization-based ill-posed problems: a survey and a multi-objective framework. Frontiers Comput. Sci. 11(3): 362-391 (2017) - 2016
- [j1]Maoguo Gong, Hao Li, Xiangming Jiang:
A multi-objective optimization framework for ill-posed inverse problems. CAAI Trans. Intell. Technol. 1(3): 225-240 (2016) - [c2]Xiangming Jiang, Jingjing Ma, Chao Lei:
Kernel Evolutionary Algorithm for Clustering. BIC-TA (2) 2016: 3-9 - [c1]Chao Lei, Jingjing Ma, Xiangming Jiang:
Unsupervised Image Segmentation Based on Watershed and Kernel Evolutionary Clustering Algorithm. BIC-TA (2) 2016: 20-34
Coauthor Index
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