Graph Convolutional Extreme Learning Machine. - Zijia Zhang 001; Yaoming Cai; Wenyin Gong; Xiaobo Liu 001; Zhihua Cai (IJCNN, 2020)

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

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)

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)

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)

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)

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)

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)

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)

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)

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)