Yaoming Cai

53 papers B 2C 1Journal 45Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
A cascaded autoencoder unmixing network for Hyperspectral anomaly detection.
Int. J. Appl. Earth Obs. Geoinformation
Kun Li, Yingqian Wang, Qiang Ling, Yaoming Cai, Yao Qin
2025 J jnl
A robust low-pass filtering graph diffusion clustering framework for hyperspectral images.
Knowl. Based Syst.
Aitao Yang, Min Li, Yao Ding, Yaoming Cai, Jie Feng, Yujie He, Yuanchao Su
2025 — conf
Anchor-Guided Scalable Deep Subspace Clustering.
PRCV (1)
Jiale Li, Yaoming Cai, Zijia Zhang, Yao Ding, Fei Li
2025 J jnl
FG-GAN: Frequency-Guided Generative Adversarial Networks for Unsupervised Pansharpening.
IEEE Trans. Geosci. Remote. Sens.
Xiaobo Liu, Dongsen Zhang, Jun Li, Yaoming Cai, Xinwei Jiang, Yongshan Zhang, Ying Xin
2025 J jnl
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data.
IEEE Trans. Neural Networks Learn. Syst.
Yaoming Cai, Zijia Zhang, Xiaobo Liu, Yao Ding, Fei Li, Jinhua Tan
2025 J jnl
MMAGL: Multiobjective Multiview Attributed Graph Learning for Joint Clustering of Hyperspectral and LiDAR Data.
IEEE Trans. Geosci. Remote. Sens.
Zijia Zhang, Yaoming Cai, Wenyin Gong, Xiaobo Liu, Cheng Zeng, Gan Yu
2025 J jnl
SLCGC: A lightweight Self-supervised Low-Pass Contrastive Graph Clustering Network for Hyperspectral Images.
IEEE Trans. Multim.
Yao Ding, Zhili Zhang, Aitao Yang, Yaoming Cai, Xiongwu Xiao, Danfeng Hong, Junsong Yuan
2025 J jnl
Superpixel Prior Cluster-Level Contrastive Clustering Network for Large-Scale Urban Hyperspectral Images and Vehicle Detection.
IEEE Trans. Veh. Technol.
Tiancong Li, Yaoming Cai, Yongshan Zhang, Zhihua Cai, Guozhu Jiang, Xiaobo Liu
2025 — conf
Uncertainty-Aware Deep Anchor Graph Learning for Multimodal Remote Sensing Image Clustering.
PRCV (6)
Xiaodi Yu, Yaoming Cai, Zijia Zhang, Yao Ding, Xiaobo Liu, Fei Li
2024 J jnl
An Efficient Graph Convolutional RVFL Network for Hyperspectral Image Classification.
Remote. Sens.
Zijia Zhang, Yaoming Cai, Xiaobo Liu, Min Zhang, Yan Meng
2024 J jnl
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification.
CoRR
Aitao Yang, Min Li, Yao Ding, Leyuan Fang, Yaoming Cai, Yujie He
2024 J jnl
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Aitao Yang, Min Li, Yao Ding, Leyuan Fang, Yaoming Cai, Yujie He
2024 J jnl
S²GFormer: A Transformer and Graph Convolution Combining Framework for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Shiqi Huang, Yao Ding, Zhili Zhang, Aitao Yang, Shujun Yang, Yaoming Cai, Weiwei Cai
2023 J jnl
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification.
ACM Trans. Intell. Syst. Technol.
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Zhihua Cai, Xiaobo Liu, Yao Ding
2023 J jnl
Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification.
Expert Syst. Appl.
Zhili Zhang, Yao Ding, Xiaofeng Zhao, Siye Li, Nengjun Yang, Yaoming Cai, Ying Zhan
2023 J jnl
Semi-supervised learning with graph convolutional extreme learning machines.
Expert Syst. Appl.
Zijia Zhang, Yaoming Cai, Wenyin Gong
2023 J jnl
Spectral Difference Guided Graph Attention Autoencoder for Hyperspectral Anomaly Detection.
IEEE Trans. Instrum. Meas.
Kun Li, Qiang Ling, Yingqian Wang, Yaoming Cai, Yao Qin, Zaiping Lin, Wei An
2023 J jnl
Transformer-based contrastive prototypical clustering for multimodal remote sensing data.
Inf. Sci.
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Behnood Rasti, Xiaobo Liu, Zhihua Cai
2022 J jnl
Deep Mutual Information Subspace Clustering Network for Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett.
Tiancong Li, Yaoming Cai, Yongshan Zhang, Zhihua Cai, Xiaobo Liu
2022 J jnl
Evolution-Driven Randomized Graph Convolutional Networks.
IEEE Trans. Syst. Man Cybern. Syst.
Zijia Zhang, Yaoming Cai, Wenyin Gong
2022 J jnl
Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zijia Zhang, Yaoming Cai, Wenyin Gong, Pedram Ghamisi, Xiaobo Liu, Richard Gloaguen
2022 J jnl
Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image.
IEEE Geosci. Remote. Sens. Lett.
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang
2022 J jnl
Self-Supervised Locality Preserving Low-Pass Graph Convolutional Embedding for Large-Scale Hyperspectral Image Clustering.
IEEE Trans. Geosci. Remote. Sens.
Yao Ding, Zhili Zhang, Xiaofeng Zhao, Yaoming Cai, Siye Li, Biao Deng, Weiwei Cai
2022 J jnl
Spectral-Spatial Deep Support Vector Data Description for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens.
Kun Li, Qiang Ling, Yao Qin, Yingqian Wang, Yaoming Cai, Zaiping Lin, Wei An
2022 J jnl
Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens.
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Yao Ding, Xiaobo Liu, Zhihua Cai, Richard Gloaguen
2021 J jnl
Cooperative Spectral-Spatial Attention Dense Network for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Zhimin Dong, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Zhaoyu Yang, Mingchen Zhuge
2021 J jnl
Densely connected convolutional extreme learning machine for hyperspectral image classification.
Neurocomputing
Yaoming Cai, Zijia Zhang, Qin Yan, Dongfang Zhang, Mst Jainab Banu
2021 J jnl
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering.
CoRR
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi
2021 J jnl
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens.
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan
2021 J jnl
Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering.
Inf. Sci.
Yaoming Cai, Meng Zeng, Zhihua Cai, Xiaobo Liu, Zijia Zhang
2021 — conf
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning.
CIKM Workshops
Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, Xiaobo Liu
2021 J jnl
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning.
CoRR
Yaoming Cai, Zijia Zhang, Yan Liu, Pedram Ghamisi, Kun Li, Xiaobo Liu, Zhihua Cai
2021 J jnl
Nonlocal Band Attention Network for Hyperspectral Image Band Selection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Tiancong Li, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Qiubo Hu
2020 J jnl
BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens.
Yaoming Cai, Xiaobo Liu, Zhihua Cai
2020 J jnl
Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yaoming Cai, Zijia Zhang, Xiaobo Liu, Zhihua Cai
2020 J jnl
Extreme Learning Machine-Based Ensemble Transfer Learning for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xiaobo Liu, Qiubo Hu, Yaoming Cai, Zhihua Cai
2020 B conf
Graph Convolutional Extreme Learning Machine.
IJCNN
Zijia Zhang, Yaoming Cai, Wenyin Gong, Xiaobo Liu, Zhihua Cai
2020 J jnl
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image.
CoRR
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan
2020 J jnl
Hyper-Graph Regularized Kernel Subspace Clustering for Band Selection of Hyperspectral Image.
IEEE Access
Meng Zeng, Bin Ning, Chunyang Hu, Qiong Gu, Yaoming Cai, Shuijia Li
2020 J jnl
Solving Ordinary Differential Equations With Adaptive Differential Evolution.
IEEE Access
Zijia Zhang, Yaoming Cai, Dongfang Zhang
2020 J jnl
Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine.
Sensors
Xiaoping Fang, Yaoming Cai, Zhihua Cai, Xinwei Jiang, Zhikun Chen
2020 J jnl
Visual Saliency-Based Extended Morphological Profiles for Unsupervised Feature Learning of Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett.
Xiaobo Liu, Xu Yin, Yaoming Cai, Min Wang, Zhihua Cai, Bo Huang
2019 J jnl
BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image.
CoRR
Yaoming Cai, Xiaobo Liu, Zhihua Cai
2019 J jnl
Band Selection of Hyperspectral Images Using Multiobjective Optimization-Based Sparse Self-Representation.
IEEE Geosci. Remote. Sens. Lett.
Peng Hu, Xiaobo Liu, Yaoming Cai, Zhihua Cai
2019 J jnl
Deep Multigrained Cascade Forest for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Xiaobo Liu, Ruilin Wang, Zhihua Cai, Yaoming Cai, Xu Yin
2019 — conf
Discriminative Spectral-Spatial Attention-Aware Residual Network For Hyperspectral Image Classification.
WHISPERS
Yaoming Cai, Zhimin Dong, Zhihua Cai, Xiaobo Liu, Guangjun Wang
2019 J jnl
Emotion Recognition Based on Multi-Composition Deep Forest and Transferred Convolutional Neural Network.
J. Adv. Comput. Intell. Intell. Informatics
Xiaobo Liu, Xu Yin, Min Wang, Yaoming Cai, Guang Qi
2019 C conf
Spectral-Spatial Clustering of Hyperspectral Image Based on Laplacian Regularized Deep Subspace Clustering.
IGARSS
Meng Zeng, Yaoming Cai, Xiaobo Liu, Zhihua Cai, Xiang Li
2019 J jnl
Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering.
IEEE Geosci. Remote. Sens. Lett.
Meng Zeng, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Peng Hu, Junhua Ku
2018 B conf
A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder.
IJCNN
Yaoming Cai, Zhihua Cai, Meng Zeng, Xiaobo Liu, Jia Wu, Guangjun Wang
2018 J jnl
A multiobjective optimization-based sparse extreme learning machine algorithm.
Neurocomputing
Yu Wu, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Yaoming Cai
2018 J jnl
Hierarchical ensemble of Extreme Learning Machine.
Pattern Recognit. Lett.
Yaoming Cai, Xiaobo Liu, Yongshan Zhang, Zhihua Cai
2017 — conf
Extreme Learning Machine Based on Evolutionary Multi-objective Optimization.
BIC-TA
Yaoming Cai, Xiaobo Liu, Yu Wu, Peng Hu, Ruilin Wang, Bi Wu, Zhihua Cai