Yongshan Zhang

61 papers A* 9A 1B 1C 1Misc 4Journal 42Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Anchor-Guided Discriminative Subspace Alignment and Clustering for Cross-Scene Hyperspectral Imagery.
AAAI
Yongshan Zhang, Zixuan Zhang, Xinxin Wang, Lefei Zhang, Zhihua Cai
2026 A* conf
Cross-view Anchor Graph Learning and Factorization for Incomplete Multi-view Clustering.
AAAI
Xinxin Wang, Yongshan Zhang, Xiaochen Yuan, Yicong Zhou
2026 A* conf
Efficient Tensorized Multi-View Anchor Graph Clustering with Affinity Propagation for Remote Sensing Data.
AAAI
Yongshan Zhang, Kangyue Zheng, Shuaikang Yan, Xinxin Wang, Zhihua Cai
2025 J jnl
Bidirectional Probabilistic Multi-Graph Learning and Decomposition for Multi-View Clustering.
IEEE Trans. Image Process.
Xinxin Wang, Yongshan Zhang, Yicong Zhou
2025 A* conf
Deep Multi-Level Contrastive Clustering for Multi-Modal Remote Sensing Images.
ACM Multimedia
Weiqi Liu, Yongshan Zhang, Xinxin Wang, Lefei Zhang
2025 J jnl
Dual-Branch Convolution-Transformer Network With Spectral-Spatial Attention for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Yao Lu, Yongshan Zhang, Xinwei Jiang, Xiaobo Liu, Zhihua Cai
2025 J jnl
Elastic Graph Fusion Subspace Clustering for Large Hyperspectral Image.
IEEE Trans. Circuits Syst. Video Technol.
Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Lefei Zhang, Bo Du
2025 J jnl
FG-GAN: Frequency-Guided Generative Adversarial Networks for Unsupervised Pansharpening.
IEEE Trans. Geosci. Remote. Sens.
Xiaobo Liu, Dongsen Zhang, Jun Li, Yaoming Cai, Xinwei Jiang, Yongshan Zhang, Ying Xin
2025 A* conf
Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering.
AAAI
Xinxin Wang, Yongshan Zhang, Yicong Zhou
2025 J jnl
Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering.
CoRR
Xinxin Wang, Yongshan Zhang, Yicong Zhou
2025 J jnl
Incomplete Multiview Clustering Using Discriminative Feature Recovery and Tensorized Matrix Factorization.
IEEE Trans. Circuits Syst. Video Technol.
Xinxin Wang, Yongshan Zhang, Jie Zhang, Yicong Zhou
2025 A* conf
Learn Multi-task Anchor: Joint View Imputation and Label Generation for Incomplete Multi-view Clustering.
IJCAI
Xinxin Wang, Yongshan Zhang, Yicong Zhou
2025 J jnl
Lossless Compression Framework Using Lossy Prior for High-Resolution Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Enjia Gu, Yongshan Zhang, Xinxin Wang, Xinwei Jiang
2025 J jnl
Multimodal Remote Sensing Image Clustering With Multiscale Spectral-Spatial Anchor Graphs.
IEEE Trans. Geosci. Remote. Sens.
Xinxin Wang, Yongshan Zhang, Yicong Zhou
2025 J jnl
Multiscale Memory Autoencoder and Spatial Filtering for Hyperspectral Anomaly Detection.
IEEE Geosci. Remote. Sens. Lett.
Ziyang Ma, Yongshan Zhang, Yuyun Lian, Xinwei Jiang, Xiaobo Liu, Zhihua Cai
2025 J jnl
Pseudo-Supervision Affinity Propagation for Efficient and Scalable Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Xinxin Wang, Yongshan Zhang, Yicong Zhou
2025 J jnl
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification.
IEEE Trans. Circuits Syst. Video Technol.
Kangdao Liu, Tianhao Sun, Hao Zeng, Yongshan Zhang, Chi-Man Pun, Chi-Man Vong
2025 A* conf
Spatial-Spectral Similarity-Guided Fusion Network for Pansharpening.
IJCAI
Jiazhuang Xiong, Yongshan Zhang, Xinxin Wang, Lefei Zhang
2025 J jnl
Structured Anchor Learning for Large-Scale Hyperspectral Image Projected Clustering.
IEEE Trans. Circuits Syst. Video Technol.
Guozhu Jiang, Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Lefei Zhang
2025 J jnl
Superpixel Prior Cluster-Level Contrastive Clustering Network for Large-Scale Urban Hyperspectral Images and Vehicle Detection.
IEEE Trans. Veh. Technol.
Tiancong Li, Yaoming Cai, Yongshan Zhang, Zhihua Cai, Guozhu Jiang, Xiaobo Liu
2025 A* conf
Tensor-based Opposing yet Complementary Learning for Multi-view Multi-label Feature Selection.
ACM Multimedia
Pingting Hao, Huijie Zhang, Yongshan Zhang
2024 J jnl
Bipartite Graph-Based Projected Clustering With Local Region Guidance for Hyperspectral Imagery.
IEEE Trans. Multim.
Yongshan Zhang, Guozhu Jiang, Zhihua Cai, Yicong Zhou
2024 J jnl
Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering.
IEEE Trans. Geosci. Remote. Sens.
Yongshan Zhang, Shuaikang Yan, Xinwei Jiang, Lefei Zhang, Zhihua Cai, Jun Li
2024 J jnl
Fast Projected Fuzzy Clustering With Anchor Guidance for Multimodal Remote Sensing Imagery.
IEEE Trans. Image Process.
Yongshan Zhang, Shuaikang Yan, Lefei Zhang, Bo Du
2024 J jnl
Management Analysis Method of Multivariate Time Series Anomaly Detection in Financial Risk Assessment.
J. Organ. End User Comput.
Yongshan Zhang, Zhiyun Jiang, Cong Peng, Xiumei Zhu, Gang Wang
2024 J jnl
Probability Prediction Network With Checkerboard Prior for Lossless Remote Sensing Image Compression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xuxiang Feng, Enjia Gu, Yongshan Zhang, An Li
2024 J jnl
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification.
CoRR
Kangdao Liu, Tianhao Sun, Hao Zeng, Yongshan Zhang, Chi-Man Pun, Chi-Man Vong
2024 J jnl
Stacked Graph Fusion Denoising Autoencoder for Hyperspectral Anomaly Detection.
IEEE Geosci. Remote. Sens. Lett.
Yongshan Zhang, Yijiang Li, Xinxin Wang, Xinwei Jiang, Yicong Zhou
2024 J jnl
Superpixelwise PCA based data augmentation for hyperspectral image classification.
Multim. Tools Appl.
Shang Gao, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Qianjin Xiong, Zhihua Cai
2024 J jnl
Tensorial Global-Local Graph Self-Representation for Hyperspectral Band Selection.
IEEE Trans. Circuits Syst. Video Technol.
Yongshan Zhang, Jianwen Qi, Xinxin Wang, Zhihua Cai, Jiangtao Peng, Yicong Zhou
2023 Misc conf
Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection.
ICASSP
Yuyun Lian, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai
2023 J jnl
Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification.
CoRR
Jie Zhang, Yongshan Zhang, Yicong Zhou
2023 A* conf
Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification.
CVPR
Jie Zhang, Yongshan Zhang, Yicong Zhou
2023 J jnl
Spectral-Spatial Superpixel Anchor Graph-Based Clustering for Hyperspectral Imagery.
IEEE Geosci. Remote. Sens. Lett.
Xiaohong Chen, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai
2023 J jnl
Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens.
Pengyu Lu, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Junjun Jiang, Antonio Plaza
2023 Misc conf
Structured-Anchor Projected Clustering for Hyperspectral Images.
ICASSP
Guozhu Jiang, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai
2023 Misc conf
Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection.
ICASSP
Jianwen Qi, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai
2022 J jnl
Deep Mutual Information Subspace Clustering Network for Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett.
Tiancong Li, Yaoming Cai, Yongshan Zhang, Zhihua Cai, Xiaobo Liu
2022 Misc conf
Graph Learning Based Autoencoder for Hyperspectral Band Selection.
ICASSP
Yongshan Zhang, Xinxin Wang, Zhenyu Wang, Xinwei Jiang, Yicong Zhou
2022 J jnl
Latent representation learning based autoencoder for unsupervised feature selection in hyperspectral imagery.
Multim. Tools Appl.
Xinxin Wang, Zhenyu Wang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai
2022 J jnl
Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection.
IEEE Trans. Geosci. Remote. Sens.
Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou
2022 J jnl
Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection.
IEEE Trans. Geosci. Remote. Sens.
Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou
2022 J jnl
Spectral-Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering.
IEEE Trans. Circuits Syst. Video Technol.
Yongshan Zhang, Yang Wang, Xiaohong Chen, Xinwei Jiang, Yicong Zhou
2022 J jnl
Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens.
Xin Zhang, Xinwei Jiang, Junjun Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai
2022 C conf
Superpixel Correction Based Label Propagation for Hyperspectral Images Classification.
IGARSS
Qin Yan, Xinwei Jiang, Yongshan Zhang, Zhihua Cai
2022 J jnl
Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection.
IEEE Geosci. Remote. Sens. Lett.
Xinwei Jiang, Liwen Xiong, Qin Yan, Yongshan Zhang, Xiaobo Liu, Zhihua Cai
2021 A conf
Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition.
ICME
Yongshan Zhang, Xinxin Wang, Zhihua Cai, Yicong Zhou, Philip S. Yu
2020 J jnl
Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation.
IEEE Trans. Multim.
Yongshan Zhang, Jia Wu, Zhihua Cai, Philip S. Yu
2019 J jnl
An unsupervised parameter learning model for RVFL neural network.
Neural Networks
Yongshan Zhang, Jia Wu, Zhihua Cai, Bo Du, Philip S. Yu
2019 J jnl
Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery.
Remote. Sens.
Xinwei Jiang, Xin Song, Yongshan Zhang, Junjun Jiang, Junbin Gao, Zhihua Cai
2019 J jnl
Multi-View Fusion with Extreme Learning Machine for Clustering.
ACM Trans. Intell. Syst. Technol.
Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai, Jian Yang, Philip S. Yu
2019 J jnl
Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine.
Remote. Sens.
Yongshan Zhang, Xinwei Jiang, Xinxin Wang, Zhihua Cai
2018 J jnl
A multiobjective optimization-based sparse extreme learning machine algorithm.
Neurocomputing
Yu Wu, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Yaoming Cai
2018 J jnl
Hierarchical ensemble of Extreme Learning Machine.
Pattern Recognit. Lett.
Yaoming Cai, Xiaobo Liu, Yongshan Zhang, Zhihua Cai
2017 J jnl
Instance cloned extreme learning machine.
Pattern Recognit.
Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai
2017 — conf
Pre-trained Extreme Learning Machine.
ICONIP (5)
Yongshan Zhang, Jia Wu, Zhihua Cai, Siwei Jiang
2016 J jnl
Memetic Extreme Learning Machine.
Pattern Recognit.
Yongshan Zhang, Jia Wu, Zhihua Cai, Peng Zhang, Ling Chen
2016 — conf
Multiple-Instance Learning with Evolutionary Instance Selection.
DASFAA (1)
Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai
2015 B conf
A memetic algorithm based extreme learning machine for classification.
IJCNN
Yongshan Zhang, Zhihua Cai, Jia Wu, Xinxin Wang, Xiaobo Liu
2013 — conf
A new meandering RFID antenna designed by evolutionary algorithm.
CIComms
Jizhi Chen, Meng Li, Sanyou Zeng, Xiaolei Liang, Yongshan Zhang
2012 J jnl
Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm.
J. Comput.
Jia Wu, Zhihua Cai, Xiaolin Chen, Shuang Ao, Yongshan Zhang