Extreme Learning Machine Based on Evolutionary Multi-objective Optimization. - Yaoming Cai; Xiaobo Liu 001; Yu Wu; Peng Hu 001; Ruilin Wang; Bi Wu; Zhihua Cai (BIC-TA, 2017)

A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder. - Yaoming Cai; Zhihua Cai; Meng Zeng; Xiaobo Liu 001; Jia Wu 001; Guangjun Wang (IJCNN, 2018)

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)

Spectral-Spatial Clustering of Hyperspectral Image Based on Laplacian Regularized Deep Subspace Clustering. - Meng Zeng; Yaoming Cai; Xiaobo Liu 001; Zhihua Cai; Xiang Li 070 (IGARSS, 2019)

Discriminative Spectral-Spatial Attention-Aware Residual Network For Hyperspectral Image Classification. - Yaoming Cai; Zhimin Dong; Zhihua Cai; Xiaobo Liu 001; Guangjun Wang (WHISPERS, 2019)

Emotion Recognition Based on Multi-Composition Deep Forest and Transferred Convolutional Neural Network. - Xiaobo Liu 001; Xu Yin; Min Wang; Yaoming Cai; Guang Qi (J. Adv. Comput. Intell. Intell. Informatics, 2019)

Band Selection of Hyperspectral Images Using Multiobjective Optimization-Based Sparse Self-Representation. - Peng Hu 001; Xiaobo Liu 001; Yaoming Cai; Zhihua Cai (IEEE Geosci. Remote. Sens. Lett., 2019)

Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering. - Meng Zeng; Yaoming Cai; Zhihua Cai; Xiaobo Liu 001; Peng Hu 001; Junhua Ku (IEEE Geosci. Remote. Sens. Lett., 2019)

Deep Multigrained Cascade Forest for Hyperspectral Image Classification. - Xiaobo Liu 001; Ruilin Wang; Zhihua Cai; Yaoming Cai; Xu Yin (IEEE Trans. Geosci. Remote. Sens., 2019)

Graph Convolutional Extreme Learning Machine. - Zijia Zhang 001; Yaoming Cai; Wenyin Gong; Xiaobo Liu 001; Zhihua Cai (IJCNN, 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)

Solving Ordinary Differential Equations With Adaptive Differential Evolution. - Zijia Zhang 001; Yaoming Cai; Dongfang Zhang (IEEE Access, 2020)

Visual Saliency-Based Extended Morphological Profiles for Unsupervised Feature Learning of Hyperspectral Images. - Xiaobo Liu 001; Xu Yin; Yaoming Cai; Min Wang; Zhihua Cai; Bo Huang 005 (IEEE Geosci. Remote. Sens. Lett., 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)

Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image. - Yaoming Cai; Zijia Zhang 001; Xiaobo Liu 001; Zhihua Cai (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Extreme Learning Machine-Based Ensemble Transfer Learning for Hyperspectral Image Classification. - Xiaobo Liu 001; Qiubo Hu; Yaoming Cai; Zhihua Cai (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image. - Yaoming Cai; Xiaobo Liu 001; Zhihua Cai (IEEE Trans. Geosci. Remote. Sens., 2020)

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. - Yaoming Cai; Yan Liu; Zijia Zhang 001; Zhihua Cai; Xiaobo Liu 001 (CIKM Workshops, 2021)

Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering. - Yaoming Cai; Zijia Zhang 001; Zhihua Cai; Xiaobo Liu 001; Yao Ding 010; Pedram Ghamisi (CoRR, 2021)

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. - Yaoming Cai; Zijia Zhang 001; Yan Liu; Pedram Ghamisi; Kun Li; Xiaobo Liu 001; Zhihua Cai (CoRR, 2021)

Densely connected convolutional extreme learning machine for hyperspectral image classification. - Yaoming Cai; Zijia Zhang 001; Qin Yan; Dongfang Zhang; Mst Jainab Banu (Neurocomputing, 2021)

Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering. - Yaoming Cai; Meng Zeng; Zhihua Cai; Xiaobo Liu 001; Zijia Zhang 001 (Inf. Sci., 2021)

Cooperative Spectral-Spatial Attention Dense Network for Hyperspectral Image Classification. - Zhimin Dong; Yaoming Cai; Zhihua Cai; Xiaobo Liu 001; Zhaoyu Yang; Mingchen Zhuge (IEEE Geosci. Remote. Sens. Lett., 2021)

Nonlocal Band Attention Network for Hyperspectral Image Band Selection. - Tiancong Li; Yaoming Cai; Zhihua Cai; Xiaobo Liu 001; Qiubo Hu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. - Yaoming Cai; Zijia Zhang 001; Zhihua Cai; Xiaobo Liu 001; Xinwei Jiang; Qin Yan (IEEE Trans. Geosci. Remote. Sens., 2021)

Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image. - Yaoming Cai; Zijia Zhang 001; Zhihua Cai; Xiaobo Liu 001; Xinwei Jiang (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)

Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image. - Zijia Zhang 001; Yaoming Cai; Wenyin Gong; Pedram Ghamisi; Xiaobo Liu 001; Richard Gloaguen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. - Yaoming Cai; Zijia Zhang 001; Pedram Ghamisi; Yao Ding 010; Xiaobo Liu 001; Zhihua Cai; Richard Gloaguen (IEEE Trans. Geosci. Remote. Sens., 2022)

Self-Supervised Locality Preserving Low-Pass Graph Convolutional Embedding for Large-Scale Hyperspectral Image Clustering. - Yao Ding 010; Zhili Zhang; Xiaofeng Zhao; Yaoming Cai; Siye Li; Biao Deng; Weiwei Cai 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Spectral-Spatial Deep Support Vector Data Description for Hyperspectral Anomaly Detection. - Kun Li; Qiang Ling 002; Yao Qin 002; Yingqian Wang 002; Yaoming Cai; Zaiping Lin; Wei An (IEEE Trans. Geosci. Remote. Sens., 2022)

Evolution-Driven Randomized Graph Convolutional Networks. - Zijia Zhang 001; Yaoming Cai; Wenyin Gong (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Semi-supervised learning with graph convolutional extreme learning machines. - Zijia Zhang 001; Yaoming Cai; Wenyin Gong (Expert Syst. Appl., 2023)

Spectral Difference Guided Graph Attention Autoencoder for Hyperspectral Anomaly Detection. - Kun Li; Qiang Ling 002; Yingqian Wang 002; Yaoming Cai; Yao Qin 002; Zaiping Lin; Wei An (IEEE Trans. Instrum. Meas., 2023)

Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. - Yaoming Cai; Zijia Zhang 001; Pedram Ghamisi; Zhihua Cai; Xiaobo Liu 001; Yao Ding 010 (ACM Trans. Intell. Syst. Technol., 2023)

Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification. - Zhili Zhang; Yao Ding 010; Xiaofeng Zhao; Siye Li; Nengjun Yang; Yaoming Cai; Ying Zhan (Expert Syst. Appl., 2023)

Transformer-based contrastive prototypical clustering for multimodal remote sensing data. - Yaoming Cai; Zijia Zhang 001; Pedram Ghamisi; Behnood Rasti; Xiaobo Liu 001; Zhihua Cai (Inf. Sci., 2023)

S²GFormer: A Transformer and Graph Convolution Combining Framework for Hyperspectral Image Classification. - Shiqi Huang; Yao Ding 010; Zhili Zhang; Aitao Yang; Shujun Yang; Yaoming Cai; Weiwei Cai 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification. - Aitao Yang; Min Li 030; Yao Ding 010; Leyuan Fang; Yaoming Cai; Yujie He 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

An Efficient Graph Convolutional RVFL Network for Hyperspectral Image Classification. - Zijia Zhang 001; Yaoming Cai; Xiaobo Liu 001; Min Zhang 032; Yan Meng (Remote. Sens., 2024)

A cascaded autoencoder unmixing network for Hyperspectral anomaly detection. - Kun Li; Yingqian Wang 002; Qiang Ling 002; Yaoming Cai; Yao Qin 002 (Int. J. Appl. Earth Obs. Geoinformation, 2025)

A robust low-pass filtering graph diffusion clustering framework for hyperspectral images. - Aitao Yang; Min Li 030; Yao Ding 010; Yaoming Cai; Jie Feng; Yujie He; Yuanchao Su (Knowl. Based Syst., 2025)

MMAGL: Multiobjective Multiview Attributed Graph Learning for Joint Clustering of Hyperspectral and LiDAR Data. - Zijia Zhang 001; Yaoming Cai; Wenyin Gong; Xiaobo Liu 001; Cheng Zeng; Gan Yu (IEEE Trans. Geosci. Remote. Sens., 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)

Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data. - Yaoming Cai; Zijia Zhang 001; Xiaobo Liu 001; Yao Ding 010; Fei Li; Jinhua Tan (IEEE Trans. Neural Networks Learn. Syst., 2025)