Xiaobo Liu

According to our database, Xiaobo Liu authored at least 54 papers between 2008 and 2024.

Collaborative distances:

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

2024

Superpixelwise PCA based data augmentation for hyperspectral image classification.

Shang Gao, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Qianjin Xiong, Zhihua Cai

Multim. Tools Appl., October, 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

Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images.

Pengyu Lu, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Junjun Jiang, Antonio Plaza

IEEE Trans. Geosci. Remote. Sens., 2023

Mun-GAN: A Multiscale Unsupervised Network for Remote Sensing Image Pansharpening.

Xiaobo Liu, Xiang Li, Haoran Dai, Xudong Kang, Antonio Plaza, Wenjie Zu

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery.

Xin Zhang, Xinwei Jiang, Junjun Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai

IEEE Trans. Geosci. Remote. Sens., 2022

MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification.

Xiaobo Liu, Xin Gong, Antonio Plaza, Zhihua Cai, Xiao Xiao, Xinwei Jiang, Xiang Li

IEEE Trans. Geosci. Remote. Sens., 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

Deep Mutual Information Subspace Clustering Network for Hyperspectral Images.

Tiancong Li, Yaoming Cai, Yongshan Zhang, Zhihua Cai, Xiaobo Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection.

Xinwei Jiang, Liwen Xiong, Qin Yan, Yongshan Zhang, Xiaobo Liu, Zhihua Cai

IEEE Geosci. Remote. Sens. Lett., 2022

Hyperspectral Image Classification Based on Bilateral Filter With Multispatial Domain.

Qiubo Hu, Wenxiang Xu, Xiaobo Liu, Zhihua Cai, Junjie Cai

IEEE Geosci. Remote. Sens. Lett., 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

Nonlocal Band Attention Network for Hyperspectral Image Band Selection.

Tiancong Li, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Qiubo Hu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Continuous Particle Swarm Optimization-Based Deep Learning Architecture Search for Hyperspectral Image Classification.

Xiaobo Liu, Chaochao Zhang, Zhihua Cai, Jianfeng Yang, Zhilang Zhou, Xin Gong

Remote. Sens., 2021

Cooperative Spectral-Spatial Attention Dense Network for Hyperspectral Image Classification.

Zhimin Dong, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Zhaoyu Yang, Mingchen Zhuge

IEEE Geosci. Remote. Sens. Lett., 2021

Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering.

Yaoming Cai, Meng Zeng, Zhihua Cai, Xiaobo Liu, Zijia Zhang

Inf. Sci., 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

Multi-feature Fusion Based Deep Forest for Hyperspectral Image Classification.

Xiaobo Liu, Mostofa Zaman Mohammad, Chaochao Zhang, Xin Gong, Zhihua Cai

Proceedings of the Bio-Inspired Computing: Theories and Applications, 2021

2020

BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image.

Yaoming Cai, Xiaobo Liu, Zhihua Cai

IEEE Trans. Geosci. Remote. Sens., 2020

Multi-objective based scheduling algorithm for sudden drinking water contamination incident.

Chengyu Hu, Xuesong Yan, Wenyin Gong, Xiaobo Liu, Ling Wang, Liang Gao

Swarm Evol. Comput., 2020

Extreme Learning Machine-Based Ensemble Transfer Learning for Hyperspectral Image Classification.

Xiaobo Liu, Qiubo Hu, Yaoming Cai, Zhihua Cai

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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

Visual Saliency-Based Extended Morphological Profiles for Unsupervised Feature Learning of Hyperspectral Images.

Xiaobo Liu, Xu Yin, Yaoming Cai, Min Wang, Zhihua Cai, Bo Huang

IEEE Geosci. Remote. Sens. Lett., 2020

Modified NSGA-III for sensor placement in water distribution system.

Chengyu Hu, Liguo Dai, Xuesong Yan, Wenyin Gong, Xiaobo Liu, Ling Wang

Inf. Sci., 2020

Cascade conditional generative adversarial nets for spatial-spectral hyperspectral sample generation.

Xiaobo Liu, Yulin Qiao, Yonghua Xiong, Zhihua Cai, Peng Liu

Sci. China Inf. Sci., 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

Particle Swarm Optimization Based Deep Learning Architecture Search for Hyperspectral Image Classification.

Chaochao Zhang, Xiaobo Liu, Guangjun Wang, Zhihua Cai

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Deep Multigrained Cascade Forest for Hyperspectral Image Classification.

Xiaobo Liu, Ruilin Wang, Zhihua Cai, Yaoming Cai, Xu Yin

IEEE Trans. Geosci. Remote. Sens., 2019

Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering.

Meng Zeng, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Peng Hu, Junhua Ku

IEEE Geosci. Remote. Sens. Lett., 2019

Band Selection of Hyperspectral Images Using Multiobjective Optimization-Based Sparse Self-Representation.

Peng Hu, Xiaobo Liu, Yaoming Cai, Zhihua Cai

IEEE Geosci. Remote. Sens. Lett., 2019

Emotion Recognition Based on Multi-Composition Deep Forest and Transferred Convolutional Neural Network.

Xiaobo Liu, Xu Yin, Min Wang, Yaoming Cai, Guang Qi

J. Adv. Comput. Intell. Intell. Informatics, 2019

Discriminative Spectral-Spatial Attention-Aware Residual Network For Hyperspectral Image Classification.

Yaoming Cai, Zhimin Dong, Zhihua Cai, Xiaobo Liu, Guangjun Wang

Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Spectral-Spatial Clustering of Hyperspectral Image Based on Laplacian Regularized Deep Subspace Clustering.

Meng Zeng, Yaoming Cai, Xiaobo Liu, Zhihua Cai, Xiang Li

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Hierarchical ensemble of Extreme Learning Machine.

Yaoming Cai, Xiaobo Liu, Yongshan Zhang, Zhihua Cai

Pattern Recognit. Lett., 2018

A multiobjective optimization-based sparse extreme learning machine algorithm.

Yu Wu, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Yaoming Cai

Neurocomputing, 2018

Ensemble Transfer Learning Algorithm.

Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang

IEEE Access, 2018

Shared Deep Kernel Learning for Dimensionality Reduction.

Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation.

Bi Wu, Zhihua Cai, Xiaobo Liu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder.

Yaoming Cai, Zhihua Cai, Meng Zeng, Xiaobo Liu, Jia Wu, Guangjun Wang

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Particle-swarm Krill Herd Algorithm.

Gai-Ge Wang, Danyu Bai, Wenyin Gong, Teng Ren, Xiaobo Liu, Xuesong Yan

Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

2017

A weighted-resampling based transfer learning algorithm.

Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Extreme Learning Machine Based on Evolutionary Multi-objective Optimization.

Yaoming Cai, Xiaobo Liu, Yu Wu, Peng Hu, Ruilin Wang, Bi Wu, Zhihua Cai

Proceedings of the Bio-inspired Computing: Theories and Applications, 2017

2016

Bagging based ensemble transfer learning.

Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang

J. Ambient Intell. Humaniz. Comput., 2016

2015

A MultiBoosting Based Transfer Learning Algorithm.

Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang

J. Adv. Comput. Intell. Intell. Informatics, 2015

A memetic algorithm based extreme learning machine for classification.

Yongshan Zhang, Zhihua Cai, Jia Wu, Xinxin Wang, Xiaobo Liu

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2012

A Tri-training Based Transfer Learning Algorithm.

Xiaobo Liu, Harry Zhang, Zhihua Cai, Guangjun Wang

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011

Instance Selection in Semi-supervised Learning.

Yuanyuan Guo, Harry Zhang, Xiaobo Liu

Proceedings of the Advances in Artificial Intelligence, 2011

2010

Differential Evolution Based Band Selection in Hyperspectral Data Classification.

Xiaobo Liu, Chao Yu, Zhihua Cai

Proceedings of the Advances in Computation and Intelligence - 5th International Symposium, 2010

2008

An Improved Gene Expression Programming for Fuzzy Classification.

Xiaobo Liu, Zhihua Cai, Wenyin Gong

Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008