Zijia Zhang

According to our database, Zijia Zhang authored at least 18 papers between 2020 and 2025.

Collaborative distances:

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

2025

MMAGL: Multiobjective Multiview Attributed Graph Learning for Joint Clustering of Hyperspectral and LiDAR Data.

Zijia Zhang, Yaoming Cai, Wenyin Gong, Xiaobo Liu, Cheng Zeng, Gan Yu

IEEE Trans. Geosci. Remote. Sens., 2025

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

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

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

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

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

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

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

Solving Ordinary Differential Equations With Adaptive Differential Evolution.

Zijia Zhang, Yaoming Cai, Dongfang Zhang

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