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Xiaobo Liu 0001
Person information
- affiliation: China University of Geosciences, School of Automation, Wuhan, China
Other persons with the same name
- Xiaobo Liu — disambiguation page
- Xiaobo Liu 0002
— Southwest Jiaotong University, School of Transportation and Logistics, Chengdu, China
- Xiaobo Liu 0003
— Central South University, School of Software, Changsha, China
- Xiaobo Liu 0004
— University of Tulsa, Department of Geosciences, OK, USA
- Xiaobo Liu 0005 — Beihua University, China
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2020 – today
- 2024
- [j34]Zijia Zhang, Yaoming Cai
, Xiaobo Liu
, Min Zhang
, Yan Meng:
An Efficient Graph Convolutional RVFL Network for Hyperspectral Image Classification. Remote. Sens. 16(1): 37 (2024) - 2023
- [j33]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: 119655 (2023) - [j32]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: 1-18 (2023) - [j31]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: 1-15 (2023) - [j30]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): 40:1-40:23 (2023) - 2022
- [j29]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: 1-5 (2022) - [j28]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: 1-5 (2022) - [j27]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: 1-5 (2022) - [j26]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: 1-5 (2022) - [j25]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: 676-686 (2022) - [j24]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: 1-13 (2022) - [j23]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: 1-14 (2022) - [j22]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: 1-10 (2022) - 2021
- [j21]Yaoming Cai
, Meng Zeng, Zhihua Cai, Xiaobo Liu, Zijia Zhang
:
Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering. Inf. Sci. 578: 85-101 (2021) - [j20]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): 866-870 (2021) - [j19]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): 1082 (2021) - [j18]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: 3462-3474 (2021) - [j17]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): 4191-4202 (2021) - [c17]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: 293-302 - [c16]Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, Xiaobo Liu:
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CIKM Workshops 2021 - [i4]Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi:
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering. CoRR abs/2111.07942 (2021) - [i3]Yaoming Cai, Zijia Zhang, Yan Liu, Pedram Ghamisi, Kun Li, Xiaobo Liu, Zhihua Cai:
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CoRR abs/2111.07945 (2021) - 2020
- [j16]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) - [j15]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: 488-500 (2020) - [j14]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): 1963-1967 (2020) - [j13]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: 3892-3902 (2020) - [j12]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: 4869-4880 (2020) - [j11]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: 100674 (2020) - [j10]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): 1969-1984 (2020) - [c15]Chaochao Zhang, Xiaobo Liu, Guangjun Wang, Zhihua Cai:
Particle Swarm Optimization Based Deep Learning Architecture Search for Hyperspectral Image Classification. IGARSS 2020: 509-512 - [c14]Zijia Zhang
, Yaoming Cai
, Wenyin Gong, Xiaobo Liu, Zhihua Cai:
Graph Convolutional Extreme Learning Machine. IJCNN 2020: 1-8 - [i2]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 abs/2004.10476 (2020)
2010 – 2019
- 2019
- [j9]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): 883-890 (2019) - [j8]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): 452-456 (2019) - [j7]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): 1889-1893 (2019) - [j6]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): 8169-8183 (2019) - [c13]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: 2694-2697 - [c12]Yaoming Cai
, Zhimin Dong, Zhihua Cai, Xiaobo Liu, Guangjun Wang:
Discriminative Spectral-Spatial Attention-Aware Residual Network For Hyperspectral Image Classification. WHISPERS 2019: 1-5 - [i1]Yaoming Cai, Xiaobo Liu, Zhihua Cai:
BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image. CoRR abs/1904.08269 (2019) - 2018
- [j5]Xiaobo Liu
, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang:
Ensemble Transfer Learning Algorithm. IEEE Access 6: 2389-2396 (2018) - [j4]Yu Wu, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Yaoming Cai
:
A multiobjective optimization-based sparse extreme learning machine algorithm. Neurocomputing 317: 88-100 (2018) - [j3]Yaoming Cai
, Xiaobo Liu, Yongshan Zhang, Zhihua Cai:
Hierarchical ensemble of Extreme Learning Machine. Pattern Recognit. Lett. 116: 101-106 (2018) - [c11]Gai-Ge Wang, Danyu Bai, Wenyin Gong, Teng Ren
, Xiaobo Liu, Xuesong Yan:
Particle-swarm Krill Herd Algorithm. IEEM 2018: 1073-1080 - [c10]Yaoming Cai
, Zhihua Cai, Meng Zeng, Xiaobo Liu, Jia Wu
, Guangjun Wang:
A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder. IJCNN 2018: 1-8 - [c9]Bi Wu, Zhihua Cai, Xiaobo Liu:
Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation. IJCNN 2018: 1-6 - [c8]Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu:
Shared Deep Kernel Learning for Dimensionality Reduction. PAKDD (3) 2018: 297-308 - 2017
- [c7]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: 420-435 - [c6]Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang:
A weighted-resampling based transfer learning algorithm. IJCNN 2017: 185-190 - 2016
- [j2]Xiaobo Liu
, Guangjun Wang, Zhihua Cai, Harry Zhang:
Bagging based ensemble transfer learning. J. Ambient Intell. Humaniz. Comput. 7(1): 29-36 (2016) - 2015
- [j1]Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang:
A MultiBoosting Based Transfer Learning Algorithm. J. Adv. Comput. Intell. Intell. Informatics 19(3): 381-388 (2015) - [c5]Yongshan Zhang, Zhihua Cai, Jia Wu
, Xinxin Wang, Xiaobo Liu:
A memetic algorithm based extreme learning machine for classification. IJCNN 2015: 1-8 - 2012
- [c4]Xiaobo Liu, Harry Zhang, Zhihua Cai, Guangjun Wang:
A Tri-training Based Transfer Learning Algorithm. ICTAI 2012: 698-703 - 2011
- [c3]Yuanyuan Guo, Harry Zhang, Xiaobo Liu:
Instance Selection in Semi-supervised Learning. Canadian AI 2011: 158-169 - 2010
- [c2]Xiaobo Liu, Chao Yu, Zhihua Cai:
Differential Evolution Based Band Selection in Hyperspectral Data Classification. ISICA (1) 2010: 86-94
2000 – 2009
- 2008
- [c1]Xiaobo Liu, Zhihua Cai, Wenyin Gong:
An Improved Gene Expression Programming for Fuzzy Classification. ISICA 2008: 520-529
Coauthor Index
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