Xiaobo Liu

72 papers B 6C 2Journal 52Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A consistency-driven pseudo-labeling framework for robust functional connectivity modeling in neuropsychiatric disorder diagnosis.
Eng. Appl. Artif. Intell.
Xin Wen, Shijie Guo, Li Dong, Xiaobo Liu, Wenbo Ning, Jie Shi, Songhua Liu, Cheng Luo, Rui Cao, Dezhong Yao
2025 J jnl
A Confounding Factors-Inhibition Adversarial Learning Framework for Multi-site fMRI Mental Disorder Identification.
CoRR
Xin Wen, Shijie Guo, Wenbo Ning, Rui Cao, Yan Niu, Bin Wan, Peng Wei, Xiaobo Liu, Jie Xiang
2025 J jnl
A Federated Learning Framework for Handling Subtype Confounding and Heterogeneity in Large-Scale Neuroimaging Diagnosis.
CoRR
Xinglin Zhao, Yanwen Wang, Xiaobo Liu, Yanrong Hao, Rui Cao, Xin Wen
2025 J jnl
Bridging Foundation Models and Efficient Architectures: A Modular Brain Imaging Framework with Local Masking and Pretrained Representation Learning.
CoRR
Yanwen Wang, Xinglin Zhao, Yijin Song, Xiaobo Liu, Yanrong Hao, Rui Cao, Xin Wen
2025 J jnl
Comorbidity-Informed Transfer Learning for Neuro-developmental Disorder Diagnosis.
CoRR
Xin Wen, Shijie Guo, Wenbo Ning, Rui Cao, Jie Xiang, Xiaobo Liu, Jintai Chen
2025 J jnl
Dual-Branch Convolution-Transformer Network With Spectral-Spatial Attention for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Yao Lu, Yongshan Zhang, Xinwei Jiang, Xiaobo Liu, Zhihua Cai
2025 — conf
Dynamic Node Weight Aware Directed Hypergraph Network for Major Depressive Disorder Identification.
BIBM
Wenbo Ning, Fei Yuan, Shijie Guo, Xiaobo Liu, Yan Niu, Rui Cao, Xin Wen
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
Multiscale Memory Autoencoder and Spatial Filtering for Hyperspectral Anomaly Detection.
IEEE Geosci. Remote. Sens. Lett.
Ziyang Ma, Yongshan Zhang, Yuyun Lian, Xinwei Jiang, Xiaobo Liu, Zhihua Cai
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 — conf
Global-Local Brain Network based on Functional Connectivity for Individualized Prediction.
BIBM
Yuanyuan Guo, Xin Wen, Yi Lei, Xiaobo Liu, Zhenqi Liu, Rui Cao
2024 J jnl
Superpixelwise PCA based data augmentation for hyperspectral image classification.
Multim. Tools Appl.
Shang Gao, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Qianjin Xiong, Zhihua 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
Mun-GAN: A Multiscale Unsupervised Network for Remote Sensing Image Pansharpening.
IEEE Trans. Geosci. Remote. Sens.
Xiaobo Liu, Xiang Li, Haoran Dai, Xudong Kang, Antonio Plaza, Wenjie Zu
2023 J jnl
Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens.
Pengyu Lu, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Junjun Jiang, Antonio Plaza
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
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
Hyperspectral Image Classification Based on Bilateral Filter With Multispatial Domain.
IEEE Geosci. Remote. Sens. Lett.
Qiubo Hu, Wenxiang Xu, Xiaobo Liu, Zhihua Cai, Junjie Cai
2022 J jnl
MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Xiaobo Liu, Xin Gong, Antonio Plaza, Zhihua Cai, Xiao Xiao, Xinwei Jiang, Xiang Li
2022 J jnl
Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens.
Xin Zhang, Xinwei Jiang, Junjun Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai
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
2022 J jnl
Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection.
IEEE Geosci. Remote. Sens. Lett.
Xinwei Jiang, Liwen Xiong, Qin Yan, Yongshan Zhang, Xiaobo Liu, Zhihua Cai
2021 J jnl
Continuous Particle Swarm Optimization-Based Deep Learning Architecture Search for Hyperspectral Image Classification.
Remote. Sens.
Xiaobo Liu, Chaochao Zhang, Zhihua Cai, Jianfeng Yang, Zhilang Zhou, Xin Gong
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
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 — conf
Multi-feature Fusion Based Deep Forest for Hyperspectral Image Classification.
BIC-TA (2)
Xiaobo Liu, Mostofa Zaman Mohammad, Chaochao Zhang, Xin Gong, 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
Cascade conditional generative adversarial nets for spatial-spectral hyperspectral sample generation.
Sci. China Inf. Sci.
Xiaobo Liu, Yulin Qiao, Yonghua Xiong, Zhihua Cai, Peng Liu
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
Modified NSGA-III for sensor placement in water distribution system.
Inf. Sci.
Chengyu Hu, Liguo Dai, Xuesong Yan, Wenyin Gong, Xiaobo Liu, Ling Wang
2020 J jnl
Multi-objective based scheduling algorithm for sudden drinking water contamination incident.
Swarm Evol. Comput.
Chengyu Hu, Xuesong Yan, Wenyin Gong, Xiaobo Liu, Ling Wang, Liang Gao
2020 C conf
Particle Swarm Optimization Based Deep Learning Architecture Search for Hyperspectral Image Classification.
IGARSS
Chaochao Zhang, Xiaobo Liu, Guangjun Wang, Zhihua Cai
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 J jnl
MapReduce-based adaptive random forest algorithm for multi-label classification.
Neural Comput. Appl.
Qinghua Wu, Haihui Wang, Xuesong Yan, Xiaobo Liu
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
Ensemble Transfer Learning Algorithm.
IEEE Access
Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
2018 J jnl
Hierarchical ensemble of Extreme Learning Machine.
Pattern Recognit. Lett.
Yaoming Cai, Xiaobo Liu, Yongshan Zhang, Zhihua Cai
2018 J jnl
Neuroscience Information Toolbox: An Open Source Toolbox for EEG-fMRI Multimodal Fusion Analysis.
Frontiers Neuroinformatics
Li Dong, Cheng Luo, Xiaobo Liu, Sisi Jiang, Fali Li, Hongshuo Feng, Jianfu Li, Diankun Gong, Dezhong Yao
2018 B conf
Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation.
IJCNN
Bi Wu, Zhihua Cai, Xiaobo Liu
2018 — conf
Particle-swarm Krill Herd Algorithm.
IEEM
Gai-Ge Wang, Danyu Bai, Wenyin Gong, Teng Ren, Xiaobo Liu, Xuesong Yan
2018 — conf
Shared Deep Kernel Learning for Dimensionality Reduction.
PAKDD (3)
Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu
2017 B conf
A weighted-resampling based transfer learning algorithm.
IJCNN
Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
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
2016 J jnl
Bagging based ensemble transfer learning.
J. Ambient Intell. Humaniz. Comput.
Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
2015 J jnl
A MultiBoosting Based Transfer Learning Algorithm.
J. Adv. Comput. Intell. Intell. Informatics
Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
2015 B conf
A memetic algorithm based extreme learning machine for classification.
IJCNN
Yongshan Zhang, Zhihua Cai, Jia Wu, Xinxin Wang, Xiaobo Liu
2012 B conf
A Tri-training Based Transfer Learning Algorithm.
ICTAI
Xiaobo Liu, Harry Zhang, Zhihua Cai, Guangjun Wang
2011 — conf
Instance Selection in Semi-supervised Learning.
Canadian AI
Yuanyuan Guo, Harry Zhang, Xiaobo Liu
2010 — conf
Differential Evolution Based Band Selection in Hyperspectral Data Classification.
ISICA (1)
Xiaobo Liu, Chao Yu, Zhihua Cai
2008 — conf
An Improved Gene Expression Programming for Fuzzy Classification.
ISICA
Xiaobo Liu, Zhihua Cai, Wenyin Gong