Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm. - Jia Wu 001; Zhihua Cai; Xiaolin Chen; Shuang Ao; Yongshan Zhang (J. Comput., 2012)

A new meandering RFID antenna designed by evolutionary algorithm. - Jizhi Chen; Meng Li; Sanyou Zeng; Xiaolei Liang; Yongshan Zhang (CIComms, 2013)

A memetic algorithm based extreme learning machine for classification. - Yongshan Zhang; Zhihua Cai; Jia Wu 001; Xinxin Wang 003; Xiaobo Liu 001 (IJCNN, 2015)

Multiple-Instance Learning with Evolutionary Instance Selection. - Yongshan Zhang; Jia Wu 001; Chuan Zhou 001; Peng Zhang 001; Zhihua Cai (DASFAA (1), 2016)

Memetic Extreme Learning Machine. - Yongshan Zhang; Jia Wu 001; Zhihua Cai; Peng Zhang 001; Ling Chen 006 (Pattern Recognit., 2016)

Pre-trained Extreme Learning Machine. - Yongshan Zhang; Jia Wu 001; Zhihua Cai; Siwei Jiang (ICONIP (5), 2017)

Instance cloned extreme learning machine. - Yongshan Zhang; Jia Wu 001; Chuan Zhou 001; Zhihua Cai (Pattern Recognit., 2017)

A multiobjective optimization-based sparse extreme learning machine algorithm. - Yu Wu; Yongshan Zhang; Xiaobo Liu 001; Zhihua Cai; Yaoming Cai (Neurocomputing, 2018)

Hierarchical ensemble of Extreme Learning Machine. - Yaoming Cai; Xiaobo Liu 001; Yongshan Zhang; Zhihua Cai (Pattern Recognit. Lett., 2018)

An unsupervised parameter learning model for RVFL neural network. - Yongshan Zhang; Jia Wu 001; Zhihua Cai; Bo Du 001; Philip S. Yu (Neural Networks, 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)

Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine. - Yongshan Zhang; Xinwei Jiang; Xinxin Wang 003; Zhihua Cai (Remote. Sens., 2019)

Multi-View Fusion with Extreme Learning Machine for Clustering. - Yongshan Zhang; Jia Wu 001; Chuan Zhou 001; Zhihua Cai; Jian Yang 001; Philip S. Yu (ACM Trans. Intell. Syst. Technol., 2019)

Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation. - Yongshan Zhang; Jia Wu 001; Zhihua Cai; Philip S. Yu (IEEE Trans. Multim., 2020)

Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition. - Yongshan Zhang; Xinxin Wang 003; Zhihua Cai; Yicong Zhou; Philip S. Yu (ICME, 2021)

Graph Learning Based Autoencoder for Hyperspectral Band Selection. - Yongshan Zhang; Xinxin Wang 003; Zhenyu Wang; Xinwei Jiang; Yicong Zhou (ICASSP, 2022)

Superpixel Correction Based Label Propagation for Hyperspectral Images Classification. - Qin Yan; Xinwei Jiang; Yongshan Zhang; Zhihua Cai (IGARSS, 2022)

Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection. - Xinwei Jiang; Liwen Xiong; Qin Yan; Yongshan Zhang; Xiaobo Liu 001; Zhihua Cai (IEEE Geosci. Remote. Sens. Lett., 2022)

Deep Mutual Information Subspace Clustering Network for Hyperspectral Images. - Tiancong Li; Yaoming Cai; Yongshan Zhang; Zhihua Cai; Xiaobo Liu 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Latent representation learning based autoencoder for unsupervised feature selection in hyperspectral imagery. - Xinxin Wang 003; Zhenyu Wang; Yongshan Zhang; Xinwei Jiang; Zhihua Cai (Multim. Tools Appl., 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)

Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery. - Xin Zhang; Xinwei Jiang; Junjun Jiang; Yongshan Zhang; Xiaobo Liu 001; Zhihua Cai (IEEE Trans. Geosci. Remote. Sens., 2022)

Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection. - Yongshan Zhang; Xinxin Wang 003; Xinwei Jiang; Yicong Zhou (IEEE Trans. Geosci. Remote. Sens., 2022)

Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection. - Yongshan Zhang; Xinxin Wang 003; Xinwei Jiang; Yicong Zhou (IEEE Trans. Geosci. Remote. Sens., 2022)

Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification. - Jie Zhang; Yongshan Zhang; Yicong Zhou (CVPR, 2023)

Structured-Anchor Projected Clustering for Hyperspectral Images. - Guozhu Jiang; Jie Zhang; Yongshan Zhang; Xinwei Jiang; Zhihua Cai (ICASSP, 2023)

Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection. - Yuyun Lian; Yongshan Zhang; Xuxiang Feng; Xinwei Jiang; Zhihua Cai (ICASSP, 2023)

Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection. - Jianwen Qi; Jie Zhang; Yongshan Zhang; Xinwei Jiang; Zhihua Cai (ICASSP, 2023)

Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification. - Jie Zhang; Yongshan Zhang; Yicong Zhou (CoRR, 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)

Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images. - Pengyu Lu; Xinwei Jiang; Yongshan Zhang; Xiaobo Liu 001; Zhihua Cai; Junjun Jiang; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2023)

Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification. - Kangdao Liu; Tianhao Sun; Hao Zeng 005; Yongshan Zhang; Chi-Man Pun; Chi-Man Vong (CoRR, 2024)

Management Analysis Method of Multivariate Time Series Anomaly Detection in Financial Risk Assessment. - Yongshan Zhang; Zhiyun Jiang; Cong Peng; Xiumei Zhu; Gang Wang 023 (J. Organ. End User Comput., 2024)

Stacked Graph Fusion Denoising Autoencoder for Hyperspectral Anomaly Detection. - Yongshan Zhang; Yijiang Li; Xinxin Wang 003; Xinwei Jiang; Yicong Zhou (IEEE Geosci. Remote. Sens. Lett., 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)

Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering. - Yongshan Zhang; Shuaikang Yan; Xinwei Jiang; Lefei Zhang; Zhihua Cai; Jun Li 009 (IEEE Trans. Geosci. Remote. Sens., 2024)

Fast Projected Fuzzy Clustering With Anchor Guidance for Multimodal Remote Sensing Imagery. - Yongshan Zhang; Shuaikang Yan; Lefei Zhang; Bo Du 001 (IEEE Trans. Image Process., 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)

Superpixelwise PCA based data augmentation for hyperspectral image classification. - Shang Gao; Xinwei Jiang; Yongshan Zhang; Xiaobo Liu 001; Qianjin Xiong; Zhihua Cai (Multim. Tools Appl., 2024)

Tensorial Global-Local Graph Self-Representation for Hyperspectral Band Selection. - Yongshan Zhang; Jianwen Qi; Xinxin Wang 003; Zhihua Cai; Jiangtao Peng; Yicong Zhou (IEEE Trans. Circuits Syst. Video Technol., 2024)

Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering. - Xinxin Wang 003; Yongshan Zhang; Yicong Zhou (AAAI, 2025)

Multiscale Memory Autoencoder and Spatial Filtering for Hyperspectral Anomaly Detection. - Ziyang Ma; Yongshan Zhang; Yuyun Lian; Xinwei Jiang; Xiaobo Liu 001; Zhihua Cai (IEEE Geosci. Remote. Sens. Lett., 2025)

Lossless Compression Framework Using Lossy Prior for High-Resolution Remote Sensing Images. - Enjia Gu; Yongshan Zhang; Xinxin Wang 003; Xinwei Jiang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Dual-Branch Convolution-Transformer Network With Spectral-Spatial Attention for Hyperspectral Image Classification. - Yao Lu; Yongshan Zhang; Xinwei Jiang; Xiaobo Liu 001; Zhihua Cai (IEEE Trans. Geosci. Remote. Sens., 2025)

Multimodal Remote Sensing Image Clustering With Multiscale Spectral-Spatial Anchor Graphs. - Xinxin Wang 003; Yongshan Zhang; Yicong Zhou (IEEE Trans. Geosci. Remote. Sens., 2025)

Bidirectional Probabilistic Multi-Graph Learning and Decomposition for Multi-View Clustering. - Xinxin Wang 003; Yongshan Zhang; Yicong Zhou (IEEE Trans. Image Process., 2025)

Superpixel Prior Cluster-Level Contrastive Clustering Network for Large-Scale Urban Hyperspectral Images and Vehicle Detection. - Tiancong Li; Yaoming Cai; Yongshan Zhang; Zhihua Cai; Guozhu Jiang; Xiaobo Liu 001 (IEEE Trans. Veh. Technol., 2025)

Structured Anchor Learning for Large-Scale Hyperspectral Image Projected Clustering. - Guozhu Jiang; Yongshan Zhang; Xinxin Wang 003; Xinwei Jiang; Lefei Zhang (IEEE Trans. Circuits Syst. Video Technol., 2025)

Elastic Graph Fusion Subspace Clustering for Large Hyperspectral Image. - Yongshan Zhang; Xinxin Wang 003; Xinwei Jiang; Lefei Zhang; Bo Du 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Pseudo-Supervision Affinity Propagation for Efficient and Scalable Multiview Clustering. - Xinxin Wang 003; Yongshan Zhang; Yicong Zhou (IEEE Trans. Neural Networks Learn. Syst., 2025)