Yaoming Cai

According to our database, Yaoming Cai authored at least 39 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Efficient Graph Convolutional RVFL Network for Hyperspectral Image Classification.

Zijia Zhang, Yaoming Cai, Xiaobo Liu, Min Zhang, Yan Meng

Remote. Sens., January, 2024

2023

Transformer-based contrastive prototypical clustering for multimodal remote sensing data.

Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Behnood Rasti, Xiaobo Liu, Zhihua Cai

Inf. Sci., November, 2023

Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification.

Zhili Zhang, Yao Ding, Xiaofeng Zhao, Siye Li, Nengjun Yang, Yaoming Cai, Ying Zhan

Expert Syst. Appl., May, 2023

Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification.

Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Zhihua Cai, Xiaobo Liu, Yao Ding

ACM Trans. Intell. Syst. Technol., 2023

Spectral Difference Guided Graph Attention Autoencoder for Hyperspectral Anomaly Detection.

Kun Li, Qiang Ling, Yingqian Wang, Yaoming Cai, Yao Qin, Zaiping Lin, Wei An

IEEE Trans. Instrum. Meas., 2023

Semi-supervised learning with graph convolutional extreme learning machines.

Zijia Zhang, Yaoming Cai, Wenyin Gong

Expert Syst. Appl., 2023

2022

Evolution-Driven Randomized Graph Convolutional Networks.

Zijia Zhang, Yaoming Cai, Wenyin Gong

IEEE Trans. Syst. Man Cybern. Syst., 2022

Spectral-Spatial Deep Support Vector Data Description for Hyperspectral Anomaly Detection.

Kun Li, Qiang Ling, Yao Qin, Yingqian Wang, Yaoming Cai, Zaiping Lin, Wei An

IEEE Trans. Geosci. Remote. Sens., 2022

Self-Supervised Locality Preserving Low-Pass Graph Convolutional Embedding for Large-Scale Hyperspectral Image Clustering.

Yao Ding, Zhili Zhang, Xiaofeng Zhao, Yaoming Cai, Siye Li, Biao Deng, Weiwei Cai

IEEE Trans. Geosci. Remote. Sens., 2022

Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images.

Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Yao Ding, Xiaobo Liu, Zhihua Cai, Richard Gloaguen

IEEE Trans. Geosci. Remote. Sens., 2022

Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image.

Zijia Zhang, Yaoming Cai, Wenyin Gong, Pedram Ghamisi, Xiaobo Liu, Richard Gloaguen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Deep Mutual Information Subspace Clustering Network for Hyperspectral Images.

Tiancong Li, Yaoming Cai, Yongshan Zhang, Zhihua Cai, Xiaobo Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image.

Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image.

Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan

IEEE Trans. Geosci. Remote. Sens., 2021

Nonlocal Band Attention Network for Hyperspectral Image Band Selection.

Tiancong Li, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Qiubo Hu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Cooperative Spectral-Spatial Attention Dense Network for Hyperspectral Image Classification.

Zhimin Dong, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Zhaoyu Yang, Mingchen Zhuge

IEEE Geosci. Remote. Sens. Lett., 2021

Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering.

Yaoming Cai, Meng Zeng, Zhihua Cai, Xiaobo Liu, Zijia Zhang

Inf. Sci., 2021

Densely connected convolutional extreme learning machine for hyperspectral image classification.

Yaoming Cai, Zijia Zhang, Qin Yan, Dongfang Zhang, Mst Jainab Banu

Neurocomputing, 2021

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning.

Yaoming Cai, Zijia Zhang, Yan Liu, Pedram Ghamisi, Kun Li, Xiaobo Liu, Zhihua Cai

CoRR, 2021

Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering.

Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi

CoRR, 2021

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning.

Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, Xiaobo Liu

Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

2020

BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image.

Yaoming Cai, Xiaobo Liu, Zhihua Cai

IEEE Trans. Geosci. Remote. Sens., 2020

Extreme Learning Machine-Based Ensemble Transfer Learning for Hyperspectral Image Classification.

Xiaobo Liu, Qiubo Hu, Yaoming Cai, Zhihua Cai

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image.

Yaoming Cai, Zijia Zhang, Xiaobo Liu, Zhihua Cai

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine.

Xiaoping Fang, Yaoming Cai, Zhihua Cai, Xinwei Jiang, Zhikun Chen

Sensors, 2020

Visual Saliency-Based Extended Morphological Profiles for Unsupervised Feature Learning of Hyperspectral Images.

Xiaobo Liu, Xu Yin, Yaoming Cai, Min Wang, Zhihua Cai, Bo Huang

IEEE Geosci. Remote. Sens. Lett., 2020

Solving Ordinary Differential Equations With Adaptive Differential Evolution.

Zijia Zhang, Yaoming Cai, Dongfang Zhang

IEEE Access, 2020

Hyper-Graph Regularized Kernel Subspace Clustering for Band Selection of Hyperspectral Image.

Meng Zeng, Bin Ning, Chunyang Hu, Qiong Gu, Yaoming Cai, Shuijia Li

IEEE Access, 2020

Graph Convolutional Extreme Learning Machine.

Zijia Zhang, Yaoming Cai, Wenyin Gong, Xiaobo Liu, Zhihua Cai

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Deep Multigrained Cascade Forest for Hyperspectral Image Classification.

Xiaobo Liu, Ruilin Wang, Zhihua Cai, Yaoming Cai, Xu Yin

IEEE Trans. Geosci. Remote. Sens., 2019

Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering.

Meng Zeng, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Peng Hu, Junhua Ku

IEEE Geosci. Remote. Sens. Lett., 2019

Band Selection of Hyperspectral Images Using Multiobjective Optimization-Based Sparse Self-Representation.

Peng Hu, Xiaobo Liu, Yaoming Cai, Zhihua Cai

IEEE Geosci. Remote. Sens. Lett., 2019

Emotion Recognition Based on Multi-Composition Deep Forest and Transferred Convolutional Neural Network.

Xiaobo Liu, Xu Yin, Min Wang, Yaoming Cai, Guang Qi

J. Adv. Comput. Intell. Intell. Informatics, 2019

Discriminative Spectral-Spatial Attention-Aware Residual Network For Hyperspectral Image Classification.

Yaoming Cai, Zhimin Dong, Zhihua Cai, Xiaobo Liu, Guangjun Wang

Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Spectral-Spatial Clustering of Hyperspectral Image Based on Laplacian Regularized Deep Subspace Clustering.

Meng Zeng, Yaoming Cai, Xiaobo Liu, Zhihua Cai, Xiang Li

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Hierarchical ensemble of Extreme Learning Machine.

Yaoming Cai, Xiaobo Liu, Yongshan Zhang, Zhihua Cai

Pattern Recognit. Lett., 2018

A multiobjective optimization-based sparse extreme learning machine algorithm.

Yu Wu, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Yaoming Cai

Neurocomputing, 2018

A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder.

Yaoming Cai, Zhihua Cai, Meng Zeng, Xiaobo Liu, Jia Wu, Guangjun Wang

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Extreme Learning Machine Based on Evolutionary Multi-objective Optimization.

Yaoming Cai, Xiaobo Liu, Yu Wu, Peng Hu, Ruilin Wang, Bi Wu, Zhihua Cai

Proceedings of the Bio-inspired Computing: Theories and Applications, 2017