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Yaoming Cai
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2020 – today
- 2024
- [j33]Zijia Zhang, Yaoming Cai
, Xiaobo Liu
An Efficient Graph Convolutional RVFL Network for Hyperspectral Image Classification. Remote. Sens. 16(1): 37 (2024) - [j32]Shiqi Huang, Yao Ding, Zhili Zhang, Aitao Yang, Shujun Yang, Yaoming Cai, Weiwei Cai:
S²GFormer: A Transformer and Graph Convolution Combining Framework for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j31]Aitao Yang, Min Li, Yao Ding, Leyuan Fang, Yaoming Cai, Yujie He:
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [i5]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 abs/2407.08255 (2024) - 2023
- [j30]Zijia Zhang
Semi-supervised learning with graph convolutional extreme learning machines. Expert Syst. Appl. 213(Part): 119164 (2023) - [j29]Zhili Zhang, Yao Ding
Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification. Expert Syst. Appl. 217: 119508 (2023) - [j28]Yaoming Cai
Transformer-based contrastive prototypical clustering for multimodal remote sensing data. Inf. Sci. 649: 119655 (2023) - [j27]Kun Li
Spectral Difference Guided Graph Attention Autoencoder for Hyperspectral Anomaly Detection. IEEE Trans. Instrum. Meas. 72: 1-17 (2023) - [j26]Yaoming Cai
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. ACM Trans. Intell. Syst. Technol. 14(3): 40:1-40:23 (2023) - 2022
- [j25]Yaoming Cai
Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j24]Tiancong Li
Deep Mutual Information Subspace Clustering Network for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j23]Zijia Zhang
Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 676-686 (2022) - [j22]Yaoming Cai
Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j21]Yao Ding
Self-Supervised Locality Preserving Low-Pass Graph Convolutional Embedding for Large-Scale Hyperspectral Image Clustering. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j20]Kun Li
Spectral-Spatial Deep Support Vector Data Description for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j19]Zijia Zhang
Evolution-Driven Randomized Graph Convolutional Networks. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7516-7526 (2022) - 2021
- [j18]Yaoming Cai
Densely connected convolutional extreme learning machine for hyperspectral image classification. Neurocomputing 434: 21-32 (2021) - [j17]Yaoming Cai
Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering. Inf. Sci. 578: 85-101 (2021) - [j16]Zhimin Dong
Cooperative Spectral-Spatial Attention Dense Network for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18(5): 866-870 (2021) - [j15]Tiancong Li
Nonlocal Band Attention Network for Hyperspectral Image Band Selection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3462-3474 (2021) - [j14]Yaoming Cai
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 59(5): 4191-4202 (2021) - [c6]Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, Xiaobo Liu:
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CIKM Workshops 2021 - [i4]Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi:
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering. CoRR abs/2111.07942 (2021) - [i3]Yaoming Cai, Zijia Zhang, Yan Liu, Pedram Ghamisi, Kun Li, Xiaobo Liu, Zhihua Cai:
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CoRR abs/2111.07945 (2021) - 2020
- [j13]Zijia Zhang
Solving Ordinary Differential Equations With Adaptive Differential Evolution. IEEE Access 8: 128908-128922 (2020) - [j12]Meng Zeng
Hyper-Graph Regularized Kernel Subspace Clustering for Band Selection of Hyperspectral Image. IEEE Access 8: 135920-135932 (2020) - [j11]Xiaobo Liu
Visual Saliency-Based Extended Morphological Profiles for Unsupervised Feature Learning of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 17(11): 1963-1967 (2020) - [j10]Xiaoping Fang
Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine. Sensors 20(5): 1262 (2020) - [j9]Xiaobo Liu
Extreme Learning Machine-Based Ensemble Transfer Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3892-3902 (2020) - [j8]Yaoming Cai
Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4869-4880 (2020) - [j7]Yaoming Cai
BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 58(3): 1969-1984 (2020) - [c5]Zijia Zhang
Graph Convolutional Extreme Learning Machine. IJCNN 2020: 1-8 - [i2]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 abs/2004.10476 (2020)
2010 – 2019
- 2019
- [j6]Xiaobo Liu, Xu Yin, Min Wang, Yaoming Cai
Emotion Recognition Based on Multi-Composition Deep Forest and Transferred Convolutional Neural Network. J. Adv. Comput. Intell. Intell. Informatics 23(5): 883-890 (2019) - [j5]Peng Hu
Band Selection of Hyperspectral Images Using Multiobjective Optimization-Based Sparse Self-Representation. IEEE Geosci. Remote. Sens. Lett. 16(3): 452-456 (2019) - [j4]Meng Zeng
Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering. IEEE Geosci. Remote. Sens. Lett. 16(12): 1889-1893 (2019) - [j3]Xiaobo Liu
Deep Multigrained Cascade Forest for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(10): 8169-8183 (2019) - [c4]Meng Zeng, Yaoming Cai
Spectral-Spatial Clustering of Hyperspectral Image Based on Laplacian Regularized Deep Subspace Clustering. IGARSS 2019: 2694-2697 - [c3]Yaoming Cai
Discriminative Spectral-Spatial Attention-Aware Residual Network For Hyperspectral Image Classification. WHISPERS 2019: 1-5 - [i1]Yaoming Cai, Xiaobo Liu, Zhihua Cai:
BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image. CoRR abs/1904.08269 (2019) - 2018
- [j2]Yu Wu, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Yaoming Cai
A multiobjective optimization-based sparse extreme learning machine algorithm. Neurocomputing 317: 88-100 (2018) - [j1]Yaoming Cai
Hierarchical ensemble of Extreme Learning Machine. Pattern Recognit. Lett. 116: 101-106 (2018) - [c2]Yaoming Cai
A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder. IJCNN 2018: 1-8 - 2017
- [c1]Yaoming Cai
Extreme Learning Machine Based on Evolutionary Multi-objective Optimization. BIC-TA 2017: 420-435
Coauthor Index
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