Xiangming Jiang

According to our database, Xiangming Jiang authored at least 23 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Self-structured pyramid network with parallel spatial-channel attention for change detection in VHR remote sensed imagery.

Mingyang Zhang, Hanhong Zheng, Maoguo Gong, Yue Wu, Hao Li, Xiangming Jiang

Pattern Recognit., June, 2023

Cross-Domain Self-Taught Network for Few-Shot Hyperspectral Image Classification.

Mingyang Zhang, Hao Liu, Maoguo Gong, Hao Li, Yue Wu, Xiangming Jiang

IEEE Trans. Geosci. Remote. Sens., 2023

S³Net: Superpixel-Guided Self-Supervised Learning Network for Multitemporal Image Change Detection.

Tao Zhan, Maoguo Gong, Xiangming Jiang, Erlei Zhang

IEEE Geosci. Remote. Sens. Lett., 2023

2022

A Vertex-Directed Evolutionary Algorithm for Multiobjective Endmember Estimation.

Xiangming Jiang, Yizhe Zhao, Maoguo Gong, Tao Zhan, Mingyang Zhang

IEEE Trans. Geosci. Remote. Sens., 2022

Transfer Learning-Based Bilinear Convolutional Networks for Unsupervised Change Detection.

Tao Zhan, Maoguo Gong, Xiangming Jiang, Wei Zhao

IEEE Geosci. Remote. Sens. Lett., 2022

Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification.

Mingyang Zhang, Ziqi Di, Maoguo Gong, Yue Wu, Hao Li, Xiangming Jiang

CoRR, 2022

Towards Consistency and Complementarity: A Multiview Graph Information Bottleneck Approach.

Xiaolong Fan, Maoguo Gong, Yue Wu, Mingyang Zhang, Hao Li, Xiangming Jiang

CoRR, 2022

Evolutionary Multitasking Optimization for Multiobjective Hyperspectral Band Selection.

Pu Xiong, Xiangming Jiang, Runyu Wang, Hao Li, Yue Wu, Maoguo Gong

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Efficient Two-Phase Multiobjective Sparse Unmixing Approach for Hyperspectral Data.

Xiangming Jiang, Maoguo Gong, Tao Zhan, Kai Sheng, Mingliang Xu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Geodesic simplex based multiobjective endmember extraction for nonlinear hyperspectral mixtures.

Xiangming Jiang, Maoguo Gong, Tao Zhan, Hao Li

Inf. Sci., 2021

2020

Unsupervised Scale-Driven Change Detection With Deep Spatial-Spectral Features for VHR Images.

Tao Zhan, Maoguo Gong, Xiangming Jiang, Mingyang Zhang

IEEE Trans. Geosci. Remote. Sens., 2020

Multiobjective Endmember Extraction Based on Bilinear Mixture Model.

Xiangming Jiang, Maoguo Gong, Tao Zhan, Mingyang Zhang

IEEE Trans. Geosci. Remote. Sens., 2020

2019

Multiobjective Sparse Non-Negative Matrix Factorization.

Maoguo Gong, Xiangming Jiang, Hao Li, Kay Chen Tan

IEEE Trans. Cybern., 2019

2018

A Two-Phase Multiobjective Sparse Unmixing Approach for Hyperspectral Data.

Xiangming Jiang, Maoguo Gong, Hao Li, Mingyang Zhang, Jun Li

IEEE Trans. Geosci. Remote. Sens., 2018

Log-Based Transformation Feature Learning for Change Detection in Heterogeneous Images.

Tao Zhan, Maoguo Gong, Xiangming Jiang, Shuwei Li

IEEE Geosci. Remote. Sens. Lett., 2018

A multi-objective memetic algorithm for low rank and sparse matrix decomposition.

Tao Wu, Jiao Shi, Xiangming Jiang, Deyun Zhou, Maoguo Gong

Inf. Sci., 2018

Two-phase clustering algorithm with density exploring distance measure.

Jingjing Ma, Xiangming Jiang, Maoguo Gong

CAAI Trans. Intell. Technol., 2018

Decomposition-based multiobjective particle swarm optimization for change detection in SAR images.

Tao Zhan, Zedong Tang, Maoguo Gong, Xiangming Jiang, Jiao Shi

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Multiobjective sparse unmixing approach with noise removal.

Xiangming Jiang, Maoguo Gong, Tao Zhan, Zedong Tang

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Optimization methods for regularization-based ill-posed problems: a survey and a multi-objective framework.

Maoguo Gong, Xiangming Jiang, Hao Li

Frontiers Comput. Sci., 2017

2016

A multi-objective optimization framework for ill-posed inverse problems.

Maoguo Gong, Hao Li, Xiangming Jiang

CAAI Trans. Intell. Technol., 2016

Unsupervised Image Segmentation Based on Watershed and Kernel Evolutionary Clustering Algorithm.

Chao Lei, Jingjing Ma, Xiangming Jiang

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

Kernel Evolutionary Algorithm for Clustering.

Xiangming Jiang, Jingjing Ma, Chao Lei

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016