Xiaobo Liu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 49

Top Topics

Hyperspectral Image Classification

Subspace Clustering

Convolutional Network

Top Venues

IEEE Geosci. Remote. Sens. Lett.

IEEE Trans. Geosci. Remote. Sens.

Publications

Zijia Zhang, Yaoming Cai, Xiaobo Liu, Min Zhang, Yan Meng
An Efficient Graph Convolutional RVFL Network for Hyperspectral Image Classification. Remote. Sens. 16 (1) (2024)
Xiaobo Liu, Xiang Li, Haoran Dai, Xudong Kang, Antonio Plaza, Wenjie Zu
Mun-GAN: A Multiscale Unsupervised Network for Remote Sensing Image Pansharpening. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Zhihua Cai, Xiaobo Liu, Yao Ding
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. ACM Trans. Intell. Syst. Technol. 14 (3) (2023)
Pengyu Lu, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Junjun Jiang, Antonio Plaza
Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Behnood Rasti, Xiaobo Liu, Zhihua Cai
Transformer-based contrastive prototypical clustering for multimodal remote sensing data. Inf. Sci. 649 (2023)
Xinwei Jiang, Liwen Xiong, Qin Yan, Yongshan Zhang, Xiaobo Liu, Zhihua Cai
Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Zijia Zhang, Yaoming Cai, Wenyin Gong, Pedram Ghamisi, Xiaobo Liu, Richard Gloaguen
Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Yao Ding, Xiaobo Liu, Zhihua Cai, Richard Gloaguen
Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Tiancong Li, Yaoming Cai, Yongshan Zhang, Zhihua Cai, Xiaobo Liu
Deep Mutual Information Subspace Clustering Network for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Xiaobo Liu, Xin Gong, Antonio Plaza, Zhihua Cai, Xiao Xiao, Xinwei Jiang, Xiang Li
MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Qiubo Hu, Wenxiang Xu, Xiaobo Liu, Zhihua Cai, Junjie Cai
Hyperspectral Image Classification Based on Bilateral Filter With Multispatial Domain. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Xin Zhang, Xinwei Jiang, Junjun Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai
Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang
Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Xiaobo Liu, Mostofa Zaman Mohammad, Chaochao Zhang, Xin Gong, Zhihua Cai
Multi-feature Fusion Based Deep Forest for Hyperspectral Image Classification. BIC-TA (2) (2021)
Tiancong Li, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Qiubo Hu
Nonlocal Band Attention Network for Hyperspectral Image Band Selection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, Xiaobo Liu
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CIKM Workshops (2021)
Yaoming Cai, Zijia Zhang, Yan Liu, Pedram Ghamisi, Kun Li, Xiaobo Liu, Zhihua Cai
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CoRR (2021)
Yaoming Cai, Meng Zeng, Zhihua Cai, Xiaobo Liu, Zijia Zhang
Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering. Inf. Sci. 578 (2021)
Xiaobo Liu, Chaochao Zhang, Zhihua Cai, Jianfeng Yang, Zhilang Zhou, Xin Gong
Continuous Particle Swarm Optimization-Based Deep Learning Architecture Search for Hyperspectral Image Classification. Remote. Sens. 13 (6) (2021)
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 59 (5) (2021)
Zhimin Dong, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Zhaoyu Yang, Mingchen Zhuge
Cooperative Spectral-Spatial Attention Dense Network for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18 (5) (2021)
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering. CoRR (2021)
Xiaobo Liu, Xu Yin, Yaoming Cai, Min Wang, Zhihua Cai, Bo Huang
Visual Saliency-Based Extended Morphological Profiles for Unsupervised Feature Learning of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 17 (11) (2020)
Chaochao Zhang, Xiaobo Liu, Guangjun Wang, Zhihua Cai
Particle Swarm Optimization Based Deep Learning Architecture Search for Hyperspectral Image Classification. IGARSS (2020)
Yaoming Cai, Xiaobo Liu, Zhihua Cai
BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 58 (3) (2020)
Xiaobo Liu, Yulin Qiao, Yonghua Xiong, Zhihua Cai, Peng Liu
Cascade conditional generative adversarial nets for spatial-spectral hyperspectral sample generation. Sci. China Inf. Sci. 63 (4) (2020)
Zijia Zhang, Yaoming Cai, Wenyin Gong, Xiaobo Liu, Zhihua Cai
Graph Convolutional Extreme Learning Machine. IJCNN (2020)
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. CoRR (2020)
Chengyu Hu, Xuesong Yan, Wenyin Gong, Xiaobo Liu, Ling Wang, Liang Gao
Multi-objective based scheduling algorithm for sudden drinking water contamination incident. Swarm Evol. Comput. 55 (2020)
Chengyu Hu, Liguo Dai, Xuesong Yan, Wenyin Gong, Xiaobo Liu, Ling Wang
Modified NSGA-III for sensor placement in water distribution system. Inf. Sci. 509 (2020)
Xiaobo Liu, Qiubo Hu, Yaoming Cai, Zhihua Cai
Extreme Learning Machine-Based Ensemble Transfer Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Yaoming Cai, Zijia Zhang, Xiaobo Liu, Zhihua Cai
Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Yaoming Cai, Zhimin Dong, Zhihua Cai, Xiaobo Liu, Guangjun Wang
Discriminative Spectral-Spatial Attention-Aware Residual Network For Hyperspectral Image Classification. WHISPERS (2019)
Xiaobo Liu, Xu Yin, Min Wang, Yaoming Cai, Guang Qi
Emotion Recognition Based on Multi-Composition Deep Forest and Transferred Convolutional Neural Network. J. Adv. Comput. Intell. Intell. Informatics 23 (5) (2019)
Meng Zeng, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Peng Hu, Junhua Ku
Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering. IEEE Geosci. Remote. Sens. Lett. 16 (12) (2019)
Xiaobo Liu, Ruilin Wang, Zhihua Cai, Yaoming Cai, Xu Yin
Deep Multigrained Cascade Forest for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57 (10) (2019)
Peng Hu, Xiaobo Liu, Yaoming Cai, Zhihua Cai
Band Selection of Hyperspectral Images Using Multiobjective Optimization-Based Sparse Self-Representation. IEEE Geosci. Remote. Sens. Lett. 16 (3) (2019)
Yaoming Cai, Xiaobo Liu, Zhihua Cai
BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image. CoRR (2019)
Meng Zeng, Yaoming Cai, Xiaobo Liu, Zhihua Cai, Xiang Li
Spectral-Spatial Clustering of Hyperspectral Image Based on Laplacian Regularized Deep Subspace Clustering. IGARSS (2019)
Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu
Shared Deep Kernel Learning for Dimensionality Reduction. PAKDD (3) (2018)
Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
Ensemble Transfer Learning Algorithm. IEEE Access 6 (2018)
Bi Wu, Zhihua Cai, Xiaobo Liu
Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation. IJCNN (2018)
Yaoming Cai, Xiaobo Liu, Yongshan Zhang, Zhihua Cai
Hierarchical ensemble of Extreme Learning Machine. Pattern Recognit. Lett. 116 (2018)
Gai-Ge Wang, Danyu Bai, Wenyin Gong, Teng Ren, Xiaobo Liu, Xuesong Yan
Particle-swarm Krill Herd Algorithm. IEEM (2018)
Yaoming Cai, Zhihua Cai, Meng Zeng, Xiaobo Liu, Jia Wu, Guangjun Wang
A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder. IJCNN (2018)
Yu Wu, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Yaoming Cai
A multiobjective optimization-based sparse extreme learning machine algorithm. Neurocomputing 317 (2018)
Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
A weighted-resampling based transfer learning algorithm. IJCNN (2017)
Yaoming Cai, Xiaobo Liu, Yu Wu, Peng Hu, Ruilin Wang, Bi Wu, Zhihua Cai
Extreme Learning Machine Based on Evolutionary Multi-objective Optimization. BIC-TA (2017)
Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
Bagging based ensemble transfer learning. J. Ambient Intell. Humaniz. Comput. 7 (1) (2016)
Yongshan Zhang, Zhihua Cai, Jia Wu, Xinxin Wang, Xiaobo Liu
A memetic algorithm based extreme learning machine for classification. IJCNN (2015)
Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
A MultiBoosting Based Transfer Learning Algorithm. J. Adv. Comput. Intell. Intell. Informatics 19 (3) (2015)
Xiaobo Liu, Harry Zhang, Zhihua Cai, Guangjun Wang
A Tri-training Based Transfer Learning Algorithm. ICTAI (2012)
Yuanyuan Guo, Harry Zhang, Xiaobo Liu
Instance Selection in Semi-supervised Learning. Canadian Conference on AI (2011)
Xiaobo Liu, Chao Yu, Zhihua Cai
Differential Evolution Based Band Selection in Hyperspectral Data Classification. ISICA (1) (2010)
Xiaobo Liu, Zhihua Cai, Wenyin Gong
An Improved Gene Expression Programming for Fuzzy Classification. ISICA (2008)