Yongshan Zhang

According to our database, Yongshan Zhang authored at least 38 papers between 2012 and 2024.

Collaborative distances:

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

2024

Superpixelwise PCA based data augmentation for hyperspectral image classification.

Shang Gao, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Qianjin Xiong, Zhihua Cai

Multim. Tools Appl., October, 2024

Bipartite Graph-Based Projected Clustering With Local Region Guidance for Hyperspectral Imagery.

Yongshan Zhang, Guozhu Jiang, Zhihua Cai, Yicong Zhou

IEEE Trans. Multim., 2024

Fast Projected Fuzzy Clustering With Anchor Guidance for Multimodal Remote Sensing Imagery.

Yongshan Zhang, Shuaikang Yan, Lefei Zhang, Bo Du

IEEE Trans. Image Process., 2024

Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering.

Yongshan Zhang, Shuaikang Yan, Xinwei Jiang, Lefei Zhang, Zhihua Cai, Jun Li

IEEE Trans. Geosci. Remote. Sens., 2024

Probability Prediction Network With Checkerboard Prior for Lossless Remote Sensing Image Compression.

Xuxiang Feng, Enjia Gu, Yongshan Zhang, An Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Stacked Graph Fusion Denoising Autoencoder for Hyperspectral Anomaly Detection.

Yongshan Zhang, Yijiang Li, Xinxin Wang, Xinwei Jiang, Yicong Zhou

IEEE Geosci. Remote. Sens. Lett., 2024

Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification.

Kangdao Liu, Tianhao Sun, Hao Zeng, Yongshan Zhang, Chi-Man Pun, Chi-Man Vong

CoRR, 2024

2023

Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images.

Pengyu Lu, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Junjun Jiang, Antonio Plaza

IEEE Trans. Geosci. Remote. Sens., 2023

Spectral-Spatial Superpixel Anchor Graph-Based Clustering for Hyperspectral Imagery.

Xiaohong Chen, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai

IEEE Geosci. Remote. Sens. Lett., 2023

Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification.

Jie Zhang, Yongshan Zhang, Yicong Zhou

CoRR, 2023

Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection.

Jianwen Qi, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai

Proceedings of the IEEE International Conference on Acoustics, 2023

Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection.

Yuyun Lian, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai

Proceedings of the IEEE International Conference on Acoustics, 2023

Structured-Anchor Projected Clustering for Hyperspectral Images.

Guozhu Jiang, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai

Proceedings of the IEEE International Conference on Acoustics, 2023

Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification.

Jie Zhang, Yongshan Zhang, Yicong Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection.

Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou

IEEE Trans. Geosci. Remote. Sens., 2022

Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection.

Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou

IEEE Trans. Geosci. Remote. Sens., 2022

Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery.

Xin Zhang, Xinwei Jiang, Junjun Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai

IEEE Trans. Geosci. Remote. Sens., 2022

Spectral-Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering.

Yongshan Zhang, Yang Wang, Xiaohong Chen, Xinwei Jiang, Yicong Zhou

IEEE Trans. Circuits Syst. Video Technol., 2022

Latent representation learning based autoencoder for unsupervised feature selection in hyperspectral imagery.

Xinxin Wang, Zhenyu Wang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai

Multim. Tools Appl., 2022

Deep Mutual Information Subspace Clustering Network for Hyperspectral Images.

Tiancong Li, Yaoming Cai, Yongshan Zhang, Zhihua Cai, Xiaobo Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection.

Xinwei Jiang, Liwen Xiong, Qin Yan, Yongshan Zhang, Xiaobo Liu, Zhihua Cai

IEEE Geosci. Remote. Sens. Lett., 2022

Superpixel Correction Based Label Propagation for Hyperspectral Images Classification.

Qin Yan, Xinwei Jiang, Yongshan Zhang, Zhihua Cai

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Graph Learning Based Autoencoder for Hyperspectral Band Selection.

Yongshan Zhang, Xinxin Wang, Zhenyu Wang, Xinwei Jiang, Yicong Zhou

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition.

Yongshan Zhang, Xinxin Wang, Zhihua Cai, Yicong Zhou, Philip S. Yu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation.

Yongshan Zhang, Jia Wu, Zhihua Cai, Philip S. Yu

IEEE Trans. Multim., 2020

2019

Multi-View Fusion with Extreme Learning Machine for Clustering.

Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai, Jian Yang, Philip S. Yu

ACM Trans. Intell. Syst. Technol., 2019

Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine.

Yongshan Zhang, Xinwei Jiang, Xinxin Wang, Zhihua Cai

Remote. Sens., 2019

Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery.

Xinwei Jiang, Xin Song, Yongshan Zhang, Junjun Jiang, Junbin Gao, Zhihua Cai

Remote. Sens., 2019

An unsupervised parameter learning model for RVFL neural network.

Yongshan Zhang, Jia Wu, Zhihua Cai, Bo Du, Philip S. Yu

Neural Networks, 2019

2018

Hierarchical ensemble of Extreme Learning Machine.

Yaoming Cai, Xiaobo Liu, Yongshan Zhang, Zhihua Cai

Pattern Recognit. Lett., 2018

A multiobjective optimization-based sparse extreme learning machine algorithm.

Yu Wu, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Yaoming Cai

Neurocomputing, 2018

2017

Instance cloned extreme learning machine.

Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai

Pattern Recognit., 2017

Pre-trained Extreme Learning Machine.

Yongshan Zhang, Jia Wu, Zhihua Cai, Siwei Jiang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Memetic Extreme Learning Machine.

Yongshan Zhang, Jia Wu, Zhihua Cai, Peng Zhang, Ling Chen

Pattern Recognit., 2016

Multiple-Instance Learning with Evolutionary Instance Selection.

Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai

Proceedings of the Database Systems for Advanced Applications, 2016

2015

A memetic algorithm based extreme learning machine for classification.

Yongshan Zhang, Zhihua Cai, Jia Wu, Xinxin Wang, Xiaobo Liu

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013

A new meandering RFID antenna designed by evolutionary algorithm.

Jizhi Chen, Meng Li, Sanyou Zeng, Xiaolei Liang, Yongshan Zhang

Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Communication Systems and Networks, 2013

2012

Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm.

Jia Wu, Zhihua Cai, Xiaolin Chen, Shuang Ao, Yongshan Zhang

J. Comput., 2012