Yaoming Cai

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 42

Top Topics

Subspace Clustering

Image Classification

Extreme Learning Machine

Top Venues

IEEE Geosci. Remote. Sens. Lett.

IEEE Trans. Geosci. Remote. Sens.

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

Publications

Aitao Yang, Min Li, Yao Ding, Leyuan Fang, Yaoming Cai, Yujie He
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification. CoRR (2024)
Zijia Zhang, Yaoming Cai, Xiaobo Liu, Min Zhang, Yan Meng
An Efficient Graph Convolutional RVFL Network for Hyperspectral Image Classification. Remote. Sens. 16 (1) (2024)
Zhili Zhang, Yao Ding, Xiaofeng Zhao, Siye Li, Nengjun Yang, Yaoming Cai, Ying Zhan
Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification. Expert Syst. Appl. 217 (2023)
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Zhihua Cai, Xiaobo Liu, Yao Ding
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. ACM Trans. Intell. Syst. Technol. 14 (3) (2023)
Zijia Zhang, Yaoming Cai, Wenyin Gong
Semi-supervised learning with graph convolutional extreme learning machines. Expert Syst. Appl. 213 (Part) (2023)
Kun Li, Qiang Ling, Yingqian Wang, Yaoming Cai, Yao Qin, Zaiping Lin, Wei An
Spectral Difference Guided Graph Attention Autoencoder for Hyperspectral Anomaly Detection. IEEE Trans. Instrum. Meas. 72 (2023)
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Behnood Rasti, Xiaobo Liu, Zhihua Cai
Transformer-based contrastive prototypical clustering for multimodal remote sensing data. Inf. Sci. 649 (2023)
Zijia Zhang, Yaoming Cai, Wenyin Gong
Evolution-Driven Randomized Graph Convolutional Networks. IEEE Trans. Syst. Man Cybern. Syst. 52 (12) (2022)
Zijia Zhang, Yaoming Cai, Wenyin Gong, Pedram Ghamisi, Xiaobo Liu, Richard Gloaguen
Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Yao Ding, Xiaobo Liu, Zhihua Cai, Richard Gloaguen
Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60 (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)
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang
Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Yao Ding, Zhili Zhang, Xiaofeng Zhao, Yaoming Cai, Siye Li, Biao Deng, Weiwei Cai
Self-Supervised Locality Preserving Low-Pass Graph Convolutional Embedding for Large-Scale Hyperspectral Image Clustering. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Kun Li, Qiang Ling, Yao Qin, Yingqian Wang, Yaoming Cai, Zaiping Lin, Wei An
Spectral-Spatial Deep Support Vector Data Description for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Tiancong Li, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Qiubo Hu
Nonlocal Band Attention Network for Hyperspectral Image Band Selection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, Xiaobo Liu
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CIKM Workshops (2021)
Yaoming Cai, Zijia Zhang, Yan Liu, Pedram Ghamisi, Kun Li, Xiaobo Liu, Zhihua Cai
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CoRR (2021)
Yaoming Cai, Zijia Zhang, Qin Yan, Dongfang Zhang, Mst Jainab Banu
Densely connected convolutional extreme learning machine for hyperspectral image classification. Neurocomputing 434 (2021)
Yaoming Cai, Meng Zeng, Zhihua Cai, Xiaobo Liu, Zijia Zhang
Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering. Inf. Sci. 578 (2021)
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 59 (5) (2021)
Zhimin Dong, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Zhaoyu Yang, Mingchen Zhuge
Cooperative Spectral-Spatial Attention Dense Network for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18 (5) (2021)
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering. CoRR (2021)
Xiaobo Liu, Xu Yin, Yaoming Cai, Min Wang, Zhihua Cai, Bo Huang
Visual Saliency-Based Extended Morphological Profiles for Unsupervised Feature Learning of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 17 (11) (2020)
Yaoming Cai, Xiaobo Liu, Zhihua Cai
BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 58 (3) (2020)
Meng Zeng, Bin Ning, Chunyang Hu, Qiong Gu, Yaoming Cai, Shuijia Li
Hyper-Graph Regularized Kernel Subspace Clustering for Band Selection of Hyperspectral Image. IEEE Access 8 (2020)
Zijia Zhang, Yaoming Cai, Wenyin Gong, Xiaobo Liu, Zhihua Cai
Graph Convolutional Extreme Learning Machine. IJCNN (2020)
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. CoRR (2020)
Xiaoping Fang, Yaoming Cai, Zhihua Cai, Xinwei Jiang, Zhikun Chen
Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine. Sensors 20 (5) (2020)
Xiaobo Liu, Qiubo Hu, Yaoming Cai, Zhihua Cai
Extreme Learning Machine-Based Ensemble Transfer Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Yaoming Cai, Zijia Zhang, Xiaobo Liu, Zhihua Cai
Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Zijia Zhang, Yaoming Cai, Dongfang Zhang
Solving Ordinary Differential Equations With Adaptive Differential Evolution. IEEE Access 8 (2020)
Yaoming Cai, Zhimin Dong, Zhihua Cai, Xiaobo Liu, Guangjun Wang
Discriminative Spectral-Spatial Attention-Aware Residual Network For Hyperspectral Image Classification. WHISPERS (2019)
Xiaobo Liu, Xu Yin, Min Wang, Yaoming Cai, Guang Qi
Emotion Recognition Based on Multi-Composition Deep Forest and Transferred Convolutional Neural Network. J. Adv. Comput. Intell. Intell. Informatics 23 (5) (2019)
Meng Zeng, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Peng Hu, Junhua Ku
Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering. IEEE Geosci. Remote. Sens. Lett. 16 (12) (2019)
Xiaobo Liu, Ruilin Wang, Zhihua Cai, Yaoming Cai, Xu Yin
Deep Multigrained Cascade Forest for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57 (10) (2019)
Peng Hu, Xiaobo Liu, Yaoming Cai, Zhihua Cai
Band Selection of Hyperspectral Images Using Multiobjective Optimization-Based Sparse Self-Representation. IEEE Geosci. Remote. Sens. Lett. 16 (3) (2019)
Yaoming Cai, Xiaobo Liu, Zhihua Cai
BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image. CoRR (2019)
Meng Zeng, Yaoming Cai, Xiaobo Liu, Zhihua Cai, Xiang Li
Spectral-Spatial Clustering of Hyperspectral Image Based on Laplacian Regularized Deep Subspace Clustering. IGARSS (2019)
Yaoming Cai, Xiaobo Liu, Yongshan Zhang, Zhihua Cai
Hierarchical ensemble of Extreme Learning Machine. Pattern Recognit. Lett. 116 (2018)
Yaoming Cai, Zhihua Cai, Meng Zeng, Xiaobo Liu, Jia Wu, Guangjun Wang
A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder. IJCNN (2018)
Yu Wu, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Yaoming Cai
A multiobjective optimization-based sparse extreme learning machine algorithm. Neurocomputing 317 (2018)
Yaoming Cai, Xiaobo Liu, Yu Wu, Peng Hu, Ruilin Wang, Bi Wu, Zhihua Cai
Extreme Learning Machine Based on Evolutionary Multi-objective Optimization. BIC-TA (2017)