Mingyang Zhang

According to our database, Mingyang Zhang authored at least 44 papers between 2015 and 2024.

Collaborative distances:

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

2024

Spectral Knowledge Transfer for Remote Sensing Change Detection.

Hanhong Zheng, Dongyang Li, Mingyang Zhang, Maoguo Gong, A. Kai Qin, Tongfei Liu, Fenlong Jiang

IEEE Trans. Geosci. Remote. Sens., 2024

A Hybrid Multitask Learning Network for Hyperspectral Image Classification With Few Labels.

Hao Li, Mingyang Zhang, Ziqi Di, Maoguo Gong, Tianqi Gao, A. Kai Qin

IEEE Trans. Geosci. Remote. Sens., 2024

MSANet: Multiscale Self-Attention Aggregation Network for Few-Shot Aerial Imagery Segmentation.

Jianzhao Li, Maoguo Gong, Weihao Li, Mingyang Zhang, Yourun Zhang, Shanfeng Wang, Yue Wu

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Autonomous perception and adaptive standardization for few-shot learning.

Yourun Zhang, Maoguo Gong, Jianzhao Li, Kaiyuan Feng, Mingyang Zhang

Knowl. Based Syst., October, 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

Context-content collaborative network for building extraction from high-resolution imagery.

Maoguo Gong, Tongfei Liu, Mingyang Zhang, Qingfu Zhang, Di Lu, Hanhong Zheng, Fenlong Jiang

Knowl. Based Syst., March, 2023

Superpixel-based multiobjective change detection based on self-adaptive neighborhood-based binary differential evolution.

Tianqi Gao, Hao Li, Maoguo Gong, Mingyang Zhang, Wenyuan Qiao

Expert Syst. Appl., February, 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

Energy-Based CNN Pruning for Remote Sensing Scene Classification.

Yiheng Lu, Maoguo Gong, Zhuping Hu, Wei Zhao, Ziyu Guan, Mingyang Zhang

IEEE Trans. Geosci. Remote. Sens., 2023

Multiform Ensemble Self-Supervised Learning for Few-Shot Remote Sensing Scene Classification.

Jianzhao Li, Maoguo Gong, Huilin Liu, Yourun Zhang, Mingyang Zhang, Yue Wu

IEEE Trans. Geosci. Remote. Sens., 2023

Self-Supervised Global-Local Contrastive Learning for Fine-Grained Change Detection in VHR Images.

Fenlong Jiang, Maoguo Gong, Hanhong Zheng, Tongfei Liu, Mingyang Zhang, Jia Liu

IEEE Trans. Geosci. Remote. Sens., 2023

An M-Nary SAR Image Change Detection Based on GAN Architecture Search.

Maoguo Gong, Tianqi Gao, Mingyang Zhang, Wei Li, Zhibin Wang, Dezhong Li

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Self-Attention and Convolution Fusion Network for Land Cover Change Detection over a New Data Set in Wenzhou, China.

Yiqun Zhu, Guojian Jin, Tongfei Liu, Hanhong Zheng, Mingyang Zhang, Shuang Liang, Jieyi Liu, Linqi Li

Remote. Sens., December, 2022

Self-Supervised Monocular Depth Estimation With Multiscale Perception.

Yourun Zhang, Maoguo Gong, Jianzhao Li, Mingyang Zhang, Fenlong Jiang, Hongyu Zhao

IEEE Trans. Image Process., 2022

Building Change Detection for VHR Remote Sensing Images via Local-Global Pyramid Network and Cross-Task Transfer Learning Strategy.

Tongfei Liu, Maoguo Gong, Di Lu, Qingfu Zhang, Hanhong Zheng, Fenlong Jiang, Mingyang Zhang

IEEE Trans. Geosci. Remote. Sens., 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

Two-Path Aggregation Attention Network With Quad-Patch Data Augmentation for Few-Shot Scene Classification.

Maoguo Gong, Jianzhao Li, Yourun Zhang, Yue Wu, Mingyang Zhang

IEEE Trans. Geosci. Remote. Sens., 2022

A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images.

Maoguo Gong, Fenlong Jiang, Alex Kai Qin, Tongfei Liu, Tao Zhan, Di Lu, Hanhong Zheng, Mingyang Zhang

IEEE Trans. Geosci. Remote. Sens., 2022

Symmetric All Convolutional Neural-Network-Based Unsupervised Feature Extraction for Hyperspectral Images Classification.

Mingyang Zhang, Maoguo Gong, Haibo He, Shengqi Zhu

IEEE Trans. Cybern., 2022

HFA-Net: High frequency attention siamese network for building change detection in VHR remote sensing images.

Hanhong Zheng, Maoguo Gong, Tongfei Liu, Fenlong Jiang, Tao Zhan, Di Lu, Mingyang Zhang

Pattern Recognit., 2022

An anti-jamming method in multistatic radar system based on convolutional neural network.

Jieyi Liu, Maoguo Gong, Mingyang Zhang, Hao Li, Shanshan Zhao

IET Signal Process., 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

Local search driven periodic scheduling for workflows with random task runtime in clouds.

Lining Xing, Mingyang Zhang, Hao Li, Maoguo Gong, Jinghui Yang, Kesheng Wang

Comput. Ind. Eng., 2022

Evolutionary Multitasking CNN Architecture Search for Hyperspectral Image Classification.

Yiting Liu, Hao Li, Maoguo Gong, Jieyi Liu, Yue Wu, Mingyang Zhang, Jiao Shi

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Spatially Self-Paced Convolutional Networks for Change Detection in Heterogeneous Images.

Hao Li, Maoguo Gong, Mingyang Zhang, Yue Wu

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

Deep Fully Convolutional Embedding Networks for Hyperspectral Images Dimensionality Reduction.

Na Li, Deyun Zhou, Jiao Shi, Mingyang Zhang, Tao Wu, Maoguo Gong

Remote. Sens., 2021

Hyper-parameter Tuning of Federated Learning Based on Particle Swarm Optimization.

Zhiyuan Li, Hao Li, Mingyang Zhang

Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 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

Multi-objective optimization for location-based and preferences-aware recommendation.

Shanfeng Wang, Maoguo Gong, Yue Wu, Mingyang Zhang

Inf. Sci., 2020

2019

Unsupervised Feature Extraction in Hyperspectral Images Based on Wasserstein Generative Adversarial Network.

Mingyang Zhang, Maoguo Gong, Yishun Mao, Jun Li, Yue Wu

IEEE Trans. Geosci. Remote. Sens., 2019

A Novel Deep Framework for Change Detection of Multi-source Heterogeneous Images.

Hongying Liu, Zhongshu Wang, Fanhua Shang, Mingyang Zhang, Maoguo Gong, Feihang Ge, Licheng Jiao

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Evolutionary Multiobjective Change Detection via Self-paced Learning and Fuzzy Clustering.

Yingying Duan, Jingjing Ma, Hao Li, Mingyang Zhang, Zedong Tang, Maoguo Gong

Proceedings of the IEEE Congress on Evolutionary Computation, 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

Hyperspectral band selection based on multi-objective optimization with high information and low redundancy.

Mingyang Zhang, Maoguo Gong, Yongqiang Chan

Appl. Soft Comput., 2018

2017

Deep learning and mapping based ternary change detection for information unbalanced images.

Linzhi Su, Maoguo Gong, Puzhao Zhang, Mingyang Zhang, Jia Liu, Hailun Yang

Pattern Recognit., 2017

Unsupervised Hyperspectral Band Selection by Fuzzy Clustering With Particle Swarm Optimization.

Mingyang Zhang, Jingjing Ma, Maoguo Gong

IEEE Geosci. Remote. Sens. Lett., 2017

Memetic algorithm based feature selection for hyperspectral images classification.

Mingyang Zhang, Jingjing Ma, Maoguo Gong, Hao Li, Jia Liu

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Evolutionary multi-task learning for modular extremal learning machine.

Zedong Tang, Maoguo Gong, Mingyang Zhang

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

An improved multiobjective evolutionary approach for community detection in multilayer networks.

Wenfeng Liu, Shanfeng Wang, Maoguo Gong, Mingyang Zhang

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Multi-objective endmember extraction for hyperspectral images.

Hao Li, Jingjing Ma, Jia Liu, Maoguo Gong, Mingyang Zhang

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Unsupervised Band Selection Based on Evolutionary Multiobjective Optimization for Hyperspectral Images.

Maoguo Gong, Mingyang Zhang, Yuan Yuan

IEEE Trans. Geosci. Remote. Sens., 2016

2015

Unsupervised Hyperspectral Image Band Selection via Column Subset Selection.

Chi Wang, Maoguo Gong, Mingyang Zhang, Yongqiang Chan

IEEE Geosci. Remote. Sens. Lett., 2015