张子佳｜湖北大学｜学者主页

期刊论文

2026

Beyond Implicit Constraint: Explicit Low-Rank Structured Subspace Learning for Fast Attributed Graph Clustering

Yao-Ming Cai, Song Liu, Zijia Zhang, You Wu, Xiaobo Liu, Yao Ding, Fei Li

Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence

DOI

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 Transactions on Geoscience and Remote Sensing

DOI

2025

Uncertainty-Aware Deep Anchor Graph Learning for Multimodal Remote Sensing Image Clustering

Xiaodi Yu, Yao-Ming Cai, Zijia Zhang, Yao Ding, Xiao-Bo Liu, Fei Li

Chinese Conference on Pattern Recognition and Computer Vision

DOI

2025

Anchor-Guided Scalable Deep Subspace Clustering

Jiale Li, Yao-Ming Cai, Zijia Zhang, Yao Ding, Fei Li

Chinese Conference on Pattern Recognition and Computer Vision

DOI

2024

Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data

Yaoming Cai, Zijia Zhang, Xiaobo Liu, Yao Ding, Fei Li, Jinhua Tan

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

Semi-supervised learning with graph convolutional extreme learning machines

Zijia Zhang, Yaoming Cai, Wenyin Gong

Expert Systems With Applications，Vol. 213

DOI

2023

An Efficient Graph Convolutional RVFL Network for Hyperspectral Image Classification

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

Remote Sensing

DOI

2023

Transformer-based contrastive prototypical clustering for multimodal remote sensing data

Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Behnood Rasti, Xiaobo Liu, Zhi-Hua Cai

Information Sciences

DOI

2023

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

Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Zhi-Hua Cai, Xiaobo Liu, Yao Ding

ACM Transactions on Intelligent Systems and Technology

DOI

2022

Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images

Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Yao Ding, Xiaobo Liu, Zhi-Hua Cai, Richard Gloaguen

IEEE Transactions on Geoscience and Remote Sensing

DOI

2022

Evolution-Driven Randomized Graph Convolutional Networks

Zijia Zhang, Yaoming Cai, Wen-Yin Gong

IEEE Transactions on Systems, Man & Cybernetics. Systems

DOI

2022

Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image

Zijia Zhang, Yaoming Cai, Wen-Yin Gong, Pedram Ghamisi, Xiaobo Liu, Richard Gloaguen

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DOI

2021

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning

Yaoming Cai, Zijia Zhang, Y. Liu, Pedram Ghamisi, Kunping Li, Xiaobo Liu, Zhi-Hua Cai

CIKM Workshops

2021

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

Yaoming Cai, Zijia Zhang, Zhi-Hua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi

arXiv.org

2021

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

Yaoming Cai, Zijia Zhang, Zhi-Hua Cai, Xiaobo Liu, Xin-Wei Jiang

IEEE Geoscience and Remote Sensing Letters

DOI

2021

Densely connected convolutional extreme learning machine for hyperspectral image classification

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

Neurocomputing

DOI

2021

Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering

Yaoming Cai, Meng Zeng, Zhi-Hua Cai, Xiaobo Liu, Zijia Zhang

Information Sciences

DOI

2021

Semi-Supervised Classification via Hypergraph Convolutional Extreme Learning Machine

Zhe-Wei Liu, Zijia Zhang, Yaoming Cai, Yilin Miao, Zhikun Chen

Applied Sciences

DOI

2020

Graph Convolutional Extreme Learning Machine

Zijia Zhang, Yaoming Cai, Wen-Yin Gong, Xiaobo Liu, Zhi-Hua Cai

IEEE International Joint Conference on Neural Network

DOI

2020

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

Yaoming Cai, Zijia Zhang, Xiaobo Liu, Zhi-Hua Cai

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DOI

预印本

2026

RoES: Rotational Equivariant Selective-frequency Fusion for Multimodal Images

Jiabao Wang, Wenjian Liu, Yaoming Cai, Gengyu Zhang, Boyan Zhao, Zijia Zhang, Yao Ding, Xiaobo Liu

arXiv (Cornell University)

DOI

2020

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

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

arXiv preprint

DOI

张子佳

精选作品

期刊论文

Beyond Implicit Constraint: Explicit Low-Rank Structured Subspace Learning for Fast Attributed Graph Clustering

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

Uncertainty-Aware Deep Anchor Graph Learning for Multimodal Remote Sensing Image Clustering

Anchor-Guided Scalable Deep Subspace Clustering

Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data

Semi-supervised learning with graph convolutional extreme learning machines

An Efficient Graph Convolutional RVFL Network for Hyperspectral Image Classification

Transformer-based contrastive prototypical clustering for multimodal remote sensing data

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

Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images

Evolution-Driven Randomized Graph Convolutional Networks

Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning

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

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

Densely connected convolutional extreme learning machine for hyperspectral image classification

Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering

Semi-Supervised Classification via Hypergraph Convolutional Extreme Learning Machine

Graph Convolutional Extreme Learning Machine

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

预印本

RoES: Rotational Equivariant Selective-frequency Fusion for Multimodal Images

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

研究方向