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Journal Articles
- 2024
[j25]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: 1-5 (2024)- [j24]Shang Gao, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Qianjin Xiong, Zhihua Cai:
Superpixelwise PCA based data augmentation for hyperspectral image classification. Multim. Tools Appl. 83(34): 81209-81229 (2024) - [j23]Xuxiang Feng, Enjia Gu, Yongshan Zhang, An Li:
Probability Prediction Network With Checkerboard Prior for Lossless Remote Sensing Image Compression. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 17971-17982 (2024) - [j22]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: 1-13 (2024) - [j21]Yongshan Zhang, Shuaikang Yan, Lefei Zhang, Bo Du:
Fast Projected Fuzzy Clustering With Anchor Guidance for Multimodal Remote Sensing Imagery. IEEE Trans. Image Process. 33: 4640-4653 (2024) - [j20]Yongshan Zhang, Guozhu Jiang, Zhihua Cai, Yicong Zhou:
Bipartite Graph-Based Projected Clustering With Local Region Guidance for Hyperspectral Imagery. IEEE Trans. Multim. 26: 9551-9563 (2024) - 2023
- [j19]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: 1-5 (2023) - [j18]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: 1-15 (2023) - 2022
- [j17]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: 1-5 (2022) - [j16]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: 1-5 (2022) - [j15]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): 12061-12075 (2022) - [j14]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): 8500-8511 (2022) - [j13]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: 1-10 (2022) - [j12]Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou:
Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j11]Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou:
Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - 2020
- [j10]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): 2844-2857 (2020) - 2019
- [j9]Yongshan Zhang, Jia Wu, Zhihua Cai, Bo Du, Philip S. Yu:
An unsupervised parameter learning model for RVFL neural network. Neural Networks 112: 85-97 (2019) - [j8]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): 29 (2019) - [j7]Yongshan Zhang, Xinwei Jiang, Xinxin Wang, Zhihua Cai:
Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine. Remote. Sens. 11(17): 1983 (2019) - [j6]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): 53:1-53:23 (2019) - 2018
- [j5]Yu Wu, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Yaoming Cai:
A multiobjective optimization-based sparse extreme learning machine algorithm. Neurocomputing 317: 88-100 (2018) - [j4]Yaoming Cai, Xiaobo Liu, Yongshan Zhang, Zhihua Cai:
Hierarchical ensemble of Extreme Learning Machine. Pattern Recognit. Lett. 116: 101-106 (2018) - 2017
- [j3]Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai:
Instance cloned extreme learning machine. Pattern Recognit. 68: 52-65 (2017) - 2016
- [j2]Yongshan Zhang, Jia Wu, Zhihua Cai, Peng Zhang, Ling Chen:
Memetic Extreme Learning Machine. Pattern Recognit. 58: 135-148 (2016) - 2012
- [j1]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): 3013-3019 (2012)
Conference and Workshop Papers
- 2023
- [c11]Jie Zhang, Yongshan Zhang, Yicong Zhou:
Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification. CVPR 2023: 9925-9934 - [c10]Guozhu Jiang, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai:
Structured-Anchor Projected Clustering for Hyperspectral Images. ICASSP 2023: 1-5 - [c9]Yuyun Lian, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai:
Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection. ICASSP 2023: 1-5 - [c8]Jianwen Qi, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai:
Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection. ICASSP 2023: 1-5 - 2022
- [c7]Yongshan Zhang, Xinxin Wang, Zhenyu Wang, Xinwei Jiang, Yicong Zhou:
Graph Learning Based Autoencoder for Hyperspectral Band Selection. ICASSP 2022: 2794-2798 - [c6]Qin Yan, Xinwei Jiang, Yongshan Zhang, Zhihua Cai:
Superpixel Correction Based Label Propagation for Hyperspectral Images Classification. IGARSS 2022: 3616-3619 - 2021
- [c5]Yongshan Zhang, Xinxin Wang, Zhihua Cai, Yicong Zhou, Philip S. Yu:
Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition. ICME 2021: 1-6 - 2017
- [c4]Yongshan Zhang, Jia Wu, Zhihua Cai, Siwei Jiang:
Pre-trained Extreme Learning Machine. ICONIP (5) 2017: 14-23 - 2016
- [c3]Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai:
Multiple-Instance Learning with Evolutionary Instance Selection. DASFAA (1) 2016: 229-241 - 2015
- [c2]Yongshan Zhang, Zhihua Cai, Jia Wu, Xinxin Wang, Xiaobo Liu:
A memetic algorithm based extreme learning machine for classification. IJCNN 2015: 1-8 - 2013
- [c1]Jizhi Chen, Meng Li, Sanyou Zeng, Xiaolei Liang, Yongshan Zhang:
A new meandering RFID antenna designed by evolutionary algorithm. CIComms 2013: 5-9
Informal and Other Publications
- 2024
- [i2]Kangdao Liu, Tianhao Sun, Hao Zeng, Yongshan Zhang, Chi-Man Pun, Chi-Man Vong:
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification. CoRR abs/2409.01236 (2024) - 2023
- [i1]Jie Zhang, Yongshan Zhang, Yicong Zhou:
Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification. CoRR abs/2310.07186 (2023)
Coauthor Index
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