An Improved Gene Expression Programming for Fuzzy Classification. - Xiaobo Liu 001; Zhihua Cai; Wenyin Gong (ISICA, 2008)

Differential Evolution Based Band Selection in Hyperspectral Data Classification. - Xiaobo Liu 001; Chao Yu; Zhihua Cai (ISICA (1), 2010)

Instance Selection in Semi-supervised Learning. - Yuanyuan Guo; Harry Zhang; Xiaobo Liu 001 (Canadian AI, 2011)

A Tri-training Based Transfer Learning Algorithm. - Xiaobo Liu 001; Harry Zhang; Zhihua Cai; Guangjun Wang (ICTAI, 2012)

A memetic algorithm based extreme learning machine for classification. - Yongshan Zhang; Zhihua Cai; Jia Wu 001; Xinxin Wang 003; Xiaobo Liu 001 (IJCNN, 2015)

A MultiBoosting Based Transfer Learning Algorithm. - Xiaobo Liu 001; Guangjun Wang; Zhihua Cai; Harry Zhang (J. Adv. Comput. Intell. Intell. Informatics, 2015)

Bagging based ensemble transfer learning. - Xiaobo Liu 001; Guangjun Wang; Zhihua Cai; Harry Zhang (J. Ambient Intell. Humaniz. Comput., 2016)

Extreme Learning Machine Based on Evolutionary Multi-objective Optimization. - Yaoming Cai; Xiaobo Liu 001; Yu Wu; Peng Hu 001; Ruilin Wang; Bi Wu; Zhihua Cai (BIC-TA, 2017)

A weighted-resampling based transfer learning algorithm. - Xiaobo Liu 001; Zhentao Liu 001; Guangjun Wang; Zhihua Cai; Harry Zhang (IJCNN, 2017)

Particle-swarm Krill Herd Algorithm. - Gai-Ge Wang; Danyu Bai; Wenyin Gong; Teng Ren; Xiaobo Liu 001; Xuesong Yan 001 (IEEM, 2018)

A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder. - Yaoming Cai; Zhihua Cai; Meng Zeng; Xiaobo Liu 001; Jia Wu 001; Guangjun Wang (IJCNN, 2018)

Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation. - Bi Wu; Zhihua Cai; Xiaobo Liu 001 (IJCNN, 2018)

Shared Deep Kernel Learning for Dimensionality Reduction. - Xinwei Jiang; Junbin Gao; Xiaobo Liu 001; Zhihua Cai; Dongmei Zhang 006; Yuanxing Liu 002 (PAKDD (3), 2018)

Ensemble Transfer Learning Algorithm. - Xiaobo Liu 001; Zhentao Liu 001; Guangjun Wang; Zhihua Cai; Harry Zhang (IEEE Access, 2018)

A multiobjective optimization-based sparse extreme learning machine algorithm. - Yu Wu; Yongshan Zhang; Xiaobo Liu 001; Zhihua Cai; Yaoming Cai (Neurocomputing, 2018)

Hierarchical ensemble of Extreme Learning Machine. - Yaoming Cai; Xiaobo Liu 001; Yongshan Zhang; Zhihua Cai (Pattern Recognit. Lett., 2018)

Spectral-Spatial Clustering of Hyperspectral Image Based on Laplacian Regularized Deep Subspace Clustering. - Meng Zeng; Yaoming Cai; Xiaobo Liu 001; Zhihua Cai; Xiang Li 070 (IGARSS, 2019)

Discriminative Spectral-Spatial Attention-Aware Residual Network For Hyperspectral Image Classification. - Yaoming Cai; Zhimin Dong; Zhihua Cai; Xiaobo Liu 001; Guangjun Wang (WHISPERS, 2019)

Emotion Recognition Based on Multi-Composition Deep Forest and Transferred Convolutional Neural Network. - Xiaobo Liu 001; Xu Yin; Min Wang; Yaoming Cai; Guang Qi (J. Adv. Comput. Intell. Intell. Informatics, 2019)

Band Selection of Hyperspectral Images Using Multiobjective Optimization-Based Sparse Self-Representation. - Peng Hu 001; Xiaobo Liu 001; Yaoming Cai; Zhihua Cai (IEEE Geosci. Remote. Sens. Lett., 2019)

Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering. - Meng Zeng; Yaoming Cai; Zhihua Cai; Xiaobo Liu 001; Peng Hu 001; Junhua Ku (IEEE Geosci. Remote. Sens. Lett., 2019)

MapReduce-based adaptive random forest algorithm for multi-label classification. - Qinghua Wu 001; Haihui Wang; Xuesong Yan 001; Xiaobo Liu 001 (Neural Comput. Appl., 2019)

Deep Multigrained Cascade Forest for Hyperspectral Image Classification. - Xiaobo Liu 001; Ruilin Wang; Zhihua Cai; Yaoming Cai; Xu Yin (IEEE Trans. Geosci. Remote. Sens., 2019)

Particle Swarm Optimization Based Deep Learning Architecture Search for Hyperspectral Image Classification. - Chaochao Zhang; Xiaobo Liu 001; Guangjun Wang; Zhihua Cai (IGARSS, 2020)

Graph Convolutional Extreme Learning Machine. - Zijia Zhang 001; Yaoming Cai; Wenyin Gong; Xiaobo Liu 001; Zhihua Cai (IJCNN, 2020)

Cascade conditional generative adversarial nets for spatial-spectral hyperspectral sample generation. - Xiaobo Liu 001; Yulin Qiao; Yonghua Xiong; Zhihua Cai; Peng Liu (Sci. China Inf. Sci., 2020)

Modified NSGA-III for sensor placement in water distribution system. - Chengyu Hu; Liguo Dai; Xuesong Yan 001; Wenyin Gong; Xiaobo Liu 001; Ling Wang 001 (Inf. Sci., 2020)

Visual Saliency-Based Extended Morphological Profiles for Unsupervised Feature Learning of Hyperspectral Images. - Xiaobo Liu 001; Xu Yin; Yaoming Cai; Min Wang; Zhihua Cai; Bo Huang 005 (IEEE Geosci. Remote. Sens. Lett., 2020)

Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image. - Yaoming Cai; Zijia Zhang 001; Xiaobo Liu 001; Zhihua Cai (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Extreme Learning Machine-Based Ensemble Transfer Learning for Hyperspectral Image Classification. - Xiaobo Liu 001; Qiubo Hu; Yaoming Cai; Zhihua Cai (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Multi-objective based scheduling algorithm for sudden drinking water contamination incident. - Chengyu Hu; Xuesong Yan 001; Wenyin Gong; Xiaobo Liu 001; Ling Wang 001; Liang Gao 001 (Swarm Evol. Comput., 2020)

BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image. - Yaoming Cai; Xiaobo Liu 001; Zhihua Cai (IEEE Trans. Geosci. Remote. Sens., 2020)

Multi-feature Fusion Based Deep Forest for Hyperspectral Image Classification. - Xiaobo Liu 001; Mostofa Zaman Mohammad; Chaochao Zhang; Xin Gong; Zhihua Cai (BIC-TA (2), 2021)

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. - Yaoming Cai; Yan Liu; Zijia Zhang 001; Zhihua Cai; Xiaobo Liu 001 (CIKM Workshops, 2021)

Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering. - Yaoming Cai; Zijia Zhang 001; Zhihua Cai; Xiaobo Liu 001; Yao Ding 010; Pedram Ghamisi (CoRR, 2021)

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. - Yaoming Cai; Zijia Zhang 001; Yan Liu; Pedram Ghamisi; Kun Li; Xiaobo Liu 001; Zhihua Cai (CoRR, 2021)

Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering. - Yaoming Cai; Meng Zeng; Zhihua Cai; Xiaobo Liu 001; Zijia Zhang 001 (Inf. Sci., 2021)

Cooperative Spectral-Spatial Attention Dense Network for Hyperspectral Image Classification. - Zhimin Dong; Yaoming Cai; Zhihua Cai; Xiaobo Liu 001; Zhaoyu Yang; Mingchen Zhuge (IEEE Geosci. Remote. Sens. Lett., 2021)

Continuous Particle Swarm Optimization-Based Deep Learning Architecture Search for Hyperspectral Image Classification. - Xiaobo Liu 001; Chaochao Zhang; Zhihua Cai; Jianfeng Yang; Zhilang Zhou; Xin Gong (Remote. Sens., 2021)

Nonlocal Band Attention Network for Hyperspectral Image Band Selection. - Tiancong Li; Yaoming Cai; Zhihua Cai; Xiaobo Liu 001; Qiubo Hu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. - Yaoming Cai; Zijia Zhang 001; Zhihua Cai; Xiaobo Liu 001; Xinwei Jiang; Qin Yan (IEEE Trans. Geosci. Remote. Sens., 2021)

Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image. - Yaoming Cai; Zijia Zhang 001; Zhihua Cai; Xiaobo Liu 001; Xinwei Jiang (IEEE Geosci. Remote. Sens. Lett., 2022)

Hyperspectral Image Classification Based on Bilateral Filter With Multispatial Domain. - Qiubo Hu; Wenxiang Xu; Xiaobo Liu 001; Zhihua Cai; Junjie Cai (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 001; Zhihua Cai (IEEE Geosci. Remote. Sens. Lett., 2022)

Deep Mutual Information Subspace Clustering Network for Hyperspectral Images. - Tiancong Li; Yaoming Cai; Yongshan Zhang; Zhihua Cai; Xiaobo Liu 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image. - Zijia Zhang 001; Yaoming Cai; Wenyin Gong; Pedram Ghamisi; Xiaobo Liu 001; Richard Gloaguen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. - Yaoming Cai; Zijia Zhang 001; Pedram Ghamisi; Yao Ding 010; Xiaobo Liu 001; Zhihua Cai; Richard Gloaguen (IEEE Trans. Geosci. Remote. Sens., 2022)

MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification. - Xiaobo Liu 001; Xin Gong; Antonio Plaza; Zhihua Cai; Xiao Xiao; Xinwei Jiang; Xiang Li 070 (IEEE Trans. Geosci. Remote. Sens., 2022)

Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery. - Xin Zhang; Xinwei Jiang; Junjun Jiang; Yongshan Zhang; Xiaobo Liu 001; Zhihua Cai (IEEE Trans. Geosci. Remote. Sens., 2022)

Mun-GAN: A Multiscale Unsupervised Network for Remote Sensing Image Pansharpening. - Xiaobo Liu 001; Xiang Li 070; Haoran Dai; Xudong Kang; Antonio Plaza; Wenjie Zu (IEEE Trans. Geosci. Remote. Sens., 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 001; Zhihua Cai; Junjun Jiang; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2023)

Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. - Yaoming Cai; Zijia Zhang 001; Pedram Ghamisi; Zhihua Cai; Xiaobo Liu 001; Yao Ding 010 (ACM Trans. Intell. Syst. Technol., 2023)

Transformer-based contrastive prototypical clustering for multimodal remote sensing data. - Yaoming Cai; Zijia Zhang 001; Pedram Ghamisi; Behnood Rasti; Xiaobo Liu 001; Zhihua Cai (Inf. Sci., 2023)

Global-Local Brain Network based on Functional Connectivity for Individualized Prediction. - Yuanyuan Guo; Xin Wen; Yi Lei; Xiaobo Liu 001; Zhenqi Liu; Rui Cao (BIBM, 2024)

An Efficient Graph Convolutional RVFL Network for Hyperspectral Image Classification. - Zijia Zhang 001; Yaoming Cai; Xiaobo Liu 001; Min Zhang 032; Yan Meng (Remote. Sens., 2024)

Superpixelwise PCA based data augmentation for hyperspectral image classification. - Shang Gao; Xinwei Jiang; Yongshan Zhang; Xiaobo Liu 001; Qianjin Xiong; Zhihua Cai (Multim. Tools Appl., 2024)

Multiscale Memory Autoencoder and Spatial Filtering for Hyperspectral Anomaly Detection. - Ziyang Ma; Yongshan Zhang; Yuyun Lian; Xinwei Jiang; Xiaobo Liu 001; Zhihua Cai (IEEE Geosci. Remote. Sens. Lett., 2025)

Dual-Branch Convolution-Transformer Network With Spectral-Spatial Attention for Hyperspectral Image Classification. - Yao Lu; Yongshan Zhang; Xinwei Jiang; Xiaobo Liu 001; Zhihua Cai (IEEE Trans. Geosci. Remote. Sens., 2025)

MMAGL: Multiobjective Multiview Attributed Graph Learning for Joint Clustering of Hyperspectral and LiDAR Data. - Zijia Zhang 001; Yaoming Cai; Wenyin Gong; Xiaobo Liu 001; Cheng Zeng; Gan Yu (IEEE Trans. Geosci. Remote. Sens., 2025)

Superpixel Prior Cluster-Level Contrastive Clustering Network for Large-Scale Urban Hyperspectral Images and Vehicle Detection. - Tiancong Li; Yaoming Cai; Yongshan Zhang; Zhihua Cai; Guozhu Jiang; Xiaobo Liu 001 (IEEE Trans. Veh. Technol., 2025)

Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data. - Yaoming Cai; Zijia Zhang 001; Xiaobo Liu 001; Yao Ding 010; Fei Li; Jinhua Tan (IEEE Trans. Neural Networks Learn. Syst., 2025)