Yongshan Zhang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 31

Top Topics

Discriminant Analysis

Extreme Learning Machine

Top Venues

IEEE Trans. Geosci. Remote. Sens.

IEEE Geosci. Remote. Sens. Lett.

Pattern Recognit.

Publications

Yongshan Zhang, Yijiang Li, Xinxin Wang, Xinwei Jiang, Yicong Zhou
Stacked Graph Fusion Denoising Autoencoder for Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Yongshan Zhang, Shuaikang Yan, Xinwei Jiang, Lefei Zhang, Zhihua Cai, Jun Li
Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Yuyun Lian, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai
Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection. ICASSP (2023)
Jianwen Qi, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai
Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection. ICASSP (2023)
Jie Zhang, Yongshan Zhang, Yicong Zhou
Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification. CoRR (2023)
Pengyu Lu, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Junjun Jiang, Antonio Plaza
Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Xiaohong Chen, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai
Spectral-Spatial Superpixel Anchor Graph-Based Clustering for Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Guozhu Jiang, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai
Structured-Anchor Projected Clustering for Hyperspectral Images. ICASSP (2023)
Jie Zhang, Yongshan Zhang, Yicong Zhou
Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification. CVPR (2023)
Xinwei Jiang, Liwen Xiong, Qin Yan, Yongshan Zhang, Xiaobo Liu, Zhihua Cai
Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Yongshan Zhang, Yang Wang, Xiaohong Chen, Xinwei Jiang, Yicong Zhou
Spectral-Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering. IEEE Trans. Circuits Syst. Video Technol. 32 (12) (2022)
Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou
Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Xinxin Wang, Zhenyu Wang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai
Latent representation learning based autoencoder for unsupervised feature selection in hyperspectral imagery. Multim. Tools Appl. 81 (9) (2022)
Yongshan Zhang, Xinxin Wang, Zhenyu Wang, Xinwei Jiang, Yicong Zhou
Graph Learning Based Autoencoder for Hyperspectral Band Selection. ICASSP (2022)
Tiancong Li, Yaoming Cai, Yongshan Zhang, Zhihua Cai, Xiaobo Liu
Deep Mutual Information Subspace Clustering Network for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Qin Yan, Xinwei Jiang, Yongshan Zhang, Zhihua Cai
Superpixel Correction Based Label Propagation for Hyperspectral Images Classification. IGARSS (2022)
Xin Zhang, Xinwei Jiang, Junjun Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai
Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou
Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yongshan Zhang, Xinxin Wang, Zhihua Cai, Yicong Zhou, Philip S. Yu
Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition. ICME (2021)
Yongshan Zhang, Jia Wu, Zhihua Cai, Philip S. Yu
Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation. IEEE Trans. Multim. 22 (11) (2020)
Yongshan Zhang, Xinwei Jiang, Xinxin Wang, Zhihua Cai
Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine. Remote. Sens. 11 (17) (2019)
Xinwei Jiang, Xin Song, Yongshan Zhang, Junjun Jiang, Junbin Gao, Zhihua Cai
Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery. Remote. Sens. 11 (1) (2019)
Yongshan Zhang, Jia Wu, Zhihua Cai, Bo Du, Philip S. Yu
An unsupervised parameter learning model for RVFL neural network. Neural Networks 112 (2019)
Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai, Jian Yang, Philip S. Yu
Multi-View Fusion with Extreme Learning Machine for Clustering. ACM Trans. Intell. Syst. Technol. 10 (5) (2019)
Yaoming Cai, Xiaobo Liu, Yongshan Zhang, Zhihua Cai
Hierarchical ensemble of Extreme Learning Machine. Pattern Recognit. Lett. 116 (2018)
Yu Wu, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Yaoming Cai
A multiobjective optimization-based sparse extreme learning machine algorithm. Neurocomputing 317 (2018)
Yongshan Zhang, Jia Wu, Zhihua Cai, Siwei Jiang
Pre-trained Extreme Learning Machine. ICONIP (5) (2017)
Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai
Instance cloned extreme learning machine. Pattern Recognit. 68 (2017)
Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai
Multiple-Instance Learning with Evolutionary Instance Selection. DASFAA (1) (2016)
Yongshan Zhang, Jia Wu, Zhihua Cai, Peng Zhang, Ling Chen
Memetic Extreme Learning Machine. Pattern Recognit. 58 (2016)
Yongshan Zhang, Zhihua Cai, Jia Wu, Xinxin Wang, Xiaobo Liu
A memetic algorithm based extreme learning machine for classification. IJCNN (2015)
Jizhi Chen, Meng Li, Sanyou Zeng, Xiaolei Liang, Yongshan Zhang
A new meandering RFID antenna designed by evolutionary algorithm. CIComms (2013)
Jia Wu, Zhihua Cai, Xiaolin Chen, Shuang Ao, Yongshan Zhang
Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm. J. Comput. 7 (12) (2012)