TBSTM: A Novel and Fast Nonlinear Classification Method for Image Data. - Haitao Xu; Liya Fan; Xizhan Gao (Int. J. Pattern Recognit. Artif. Intell., 2015)

Projection twin SMMs for 2d image data classification. - Haitao Xu; Liya Fan; Xizhan Gao (Neural Comput. Appl., 2015)

A novel method for classification of matrix data using Twin Multiple Rank SMMs. - Xizhan Gao; Liya Fan; Haitao Xu (Appl. Soft Comput., 2016)

Multiple-rank supervised canonical correlation analysis for feature extraction, fusion and recognition. - Xizhan Gao; Quansen Sun; Haitao Xu (Expert Syst. Appl., 2017)

Multiple Instance Learning via Semi-supervised Laplacian TSVM. - Xizhan Gao; Quansen Sun; Haitao Xu (Neural Process. Lett., 2017)

Kernel Dual Linear Regression for Face Image Set Classification. - Xizhan Gao; Quansen Sun; Haitao Xu; Yanmeng Li (ICPR, 2018)

MRCCA: A novel CCA based method and its application in feature extraction and fusion for matrix data. - Xizhan Gao; Quansen Sun; Jing Yang (Appl. Soft Comput., 2018)

2D-LPCCA and 2D-SPCCA: Two new canonical correlation methods for feature extraction, fusion and recognition. - Xizhan Gao; Quansen Sun; Haitao Xu; Yanmeng Li (Neurocomputing, 2018)

Multiple rank multi-linear kernel support vector machine for matrix data classification. - Xizhan Gao; Liya Fan; Haitao Xu (Int. J. Mach. Learn. Cybern., 2018)

Quantitative Estimation of Rainfall Rate Intensity Based on Deep Convolutional Neural Network and Radar Reflectivity Factor. - Haochen Yang; Tieqiao Wang; Xuesong Zhou; Jiwen Dong; Xizhan Gao; Sijie Niu (ICBDT, 2019)

Kernel Generalized Canonical Correlation and a New Feature Fusion Strategy. - Lina Wei; Quansen Sun; Xizhan Gao (ICAIS (3), 2019)

Multiple kernel dimensionality reduction based on collaborative representation for set oriented image classification. - Wenzhu Yan; Huaijiang Sun; Quansen Sun; Zhichao Zheng 002; Xizhan Gao; Quan Zhang; Zhenwen Ren (Expert Syst. Appl., 2019)

Multi-model fusion metric learning for image set classification. - Xizhan Gao; Quansen Sun; Haitao Xu; Dong Wei 007; Jianqiang Gao (Knowl. Based Syst., 2019)

Two-Directional Two-Dimensional Kernel Canonical Correlation Analysis. - Xizhan Gao; Sijie Niu; Quansen Sun (IEEE Signal Process. Lett., 2019)

Sparse and collaborative representation based kernel pairwise linear regression for image set classification. - Xizhan Gao; Quansen Sun; Haitao Xu; Jianqiang Gao (Expert Syst. Appl., 2020)

Locality-aware group sparse coding on Grassmann manifolds for image set classification. - Dong Wei 007; Xiaobo Shen 001; Quansen Sun; Xizhan Gao; Wenzhu Yan (Neurocomputing, 2020)

Prototype learning and collaborative representation using Grassmann manifolds for image set classification. - Dong Wei 007; Xiaobo Shen 001; Quansen Sun; Xizhan Gao; Wenzhu Yan (Pattern Recognit., 2020)

Adaptive-Guided-Coupling-Probability Level Set for Retinal Layer Segmentation. - Yue Sun; Sijie Niu; Xizhan Gao; Jie Su; Jiwen Dong; Yuehui Chen; Li Wang 026 (IEEE J. Biomed. Health Informatics, 2020)

AFLLC: A Novel Active Contour Model Based on Adaptive Fractional Order Differentiation and Local-Linearly Constrained Bias Field. - Yingying Han; Jiwen Dong; Fan Li; Xiaohui Li; Xizhan Gao; Sijie Niu (ICONIP (3), 2021)

Unsupervised Domain Adaptation with Self-selected Active Learning for Cross-domain OCT Image Segmentation. - Xiaohui Li; Sijie Niu; Xizhan Gao; Tingting Liu; Jiwen Dong (ICONIP (2), 2021)

DarkASDNet: Classification of ASD on Functional MRI Using Deep Neural Network. - Md Shale Ahammed; Sijie Niu; Md Rishad Ahmed; Jiwen Dong; Xizhan Gao; Yuehui Chen (Frontiers Neuroinformatics, 2021)

MFNet-LE: Multilevel fusion network with Laplacian embedding for face presentation attacks detection. - Sijie Niu; Xiaofeng Qu; Junting Chen; Xizhan Gao; Tingwei Wang; Jiwen Dong (IET Image Process., 2021)

Adaptive graph guided concept factorization on Grassmann manifold. - Dong Wei 007; Xiaobo Shen 001; Quansen Sun; Xizhan Gao; Zhenwen Ren (Inf. Sci., 2021)

Fast High-Order Sparse Subspace Clustering With Cumulative MRF for Hyperspectral Images. - Limei Wang; Sijie Niu; Xizhan Gao; Kun Liu 022; Feixia Lu; Qi Diao; Jiwen Dong (IEEE Geosci. Remote. Sens. Lett., 2021)

Deep Dictionary Pair Learning for SAR Image Classification. - Kang Wei; Jiwen Dong; Wei Hu; Sijie Niu; Hui Zhao 009; Xizhan Gao (ICANN (3), 2022)

Vision Transformer with Depth Auxiliary Information for Face Anti-spoofing. - Shenyuan Li; Jiwen Dong; Junting Chen; Xizhan Gao; Sijie Niu (ICONIP (3), 2022)

Class-specific representation based distance metric learning for image set classification. - Xizhan Gao; Zeming Feng; Dong Wei 007; Sijie Niu; Hui Zhao 009; Jiwen Dong (Knowl. Based Syst., 2022)

A new predefined-time stability theorem and its application in the synchronization of memristive complex-valued BAM neural networks. - Aidi Liu; Hui Zhao 009; Qingjié Wang; Sijie Niu; Xizhan Gao; Chuan Chen; Lixiang Li 001 (Neural Networks, 2022)

Neighborhood preserving embedding on Grassmann manifold for image-set analysis. - Dong Wei 007; Xiaobo Shen 001; Quansen Sun; Xizhan Gao; Zhenwen Ren (Pattern Recognit., 2022)

Deep Low-Rank Graph Convolutional Subspace Clustering for Hyperspectral Image. - Tianhao Han; Sijie Niu; Xizhan Gao; Wenyue Yu; Na Cui; Jiwen Dong (IEEE Trans. Geosci. Remote. Sens., 2022)

Discrete Metric Learning for Fast Image Set Classification. - Dong Wei 007; Xiaobo Shen 001; Quansen Sun; Xizhan Gao (IEEE Trans. Image Process., 2022)

Fixed/Predefined-time synchronization of memristor-based complex-valued BAM neural networks for image protection. - Aidi Liu; Hui Zhao 009; Qingjie Wang; Sijie Niu; Xizhan Gao; Zhen Su; Lixiang Li 001 (Frontiers Neurorobotics, 2022)

Self-Attention based Deep Hash Learning Method for Efficient Image Retrieval. - Fei Yin; Xizhan Gao; Sijie Niu; Hui Zhao 009; Guang Feng (ICBDT, 2023)

Predefined-Time Event-Triggered Consensus for Nonlinear Multi-Agent Systems with Uncertain Parameter. - Yafei Lu; Hui Zhao 009; Aidi Liu; Mingwen Zheng; Sijie Niu; Xizhan Gao; Xiju Zong (ICONIP (1), 2023)

New Predefined-Time Stability Theorem and Applications to the Fuzzy Stochastic Memristive Neural Networks with Impulsive Effects. - Hui Zhao 009; Lei Zhou; Qingjie Wang; Sijie Niu; Xizhan Gao; Xiju Zong (ICONIP (2), 2023)

Predefined-Time Synchronization of Complex Networks with Disturbances by Using Sliding Mode Control. - Lei Zhou; Hui Zhao 009; Aidi Liu; Sijie Niu; Xizhan Gao; Xiju Zong (ICONIP (7), 2023)

Spatial-contextual variational autoencoder with attention correction for anomaly detection in retinal OCT images. - Xueying Zhou; Sijie Niu; Xiaohui Li; Hui Zhao 009; Xizhan Gao; Tingting Liu; Jiwen Dong (Comput. Biol. Medicine, 2023)

Two-directional two-dimensional fractional-order embedding canonical correlation analysis for multi-view dimensionality reduction and set-based video recognition. - Yinghui Sun; Xizhan Gao; Sijie Niu; Dong Wei 007; Zhen Cui 001 (Expert Syst. Appl., 2023)

Discriminative Feature Learning Framework With Gradient Preference for Anomaly Detection. - Muhao Xu; Xueying Zhou; Xizhan Gao; Weikai He; Sijie Niu (IEEE Trans. Instrum. Meas., 2023)

Sparse Representation Classifier Guided Grassmann Reconstruction Metric Learning With Applications to Image Set Analysis. - Dong Wei 007; Xiaobo Shen 001; Quansen Sun; Xizhan Gao; Zhenwen Ren (IEEE Trans. Multim., 2023)

Self-training adversarial learning for cross-domain retinal OCT fluid segmentation. - Xiaohui Li; Sijie Niu; Xizhan Gao; Xueying Zhou; Jiwen Dong; Hui Zhao 009 (Comput. Biol. Medicine, 2023)

A fine-to-coarse-to-fine weakly supervised framework for volumetric SD-OCT image segmentation. - Sijie Niu; Ruiwen Xing; Xizhan Gao; Tingting Liu; Yuehui Chen (IET Comput. Vis., 2023)

A novel time series prediction method based on pooling compressed sensing echo state network and its application in stock market. - Zijian Wang; Hui Zhao 009; Mingwen Zheng; Sijie Niu; Xizhan Gao; Lixiang Li 001 (Neural Networks, 2023)

Large margin distribution multi-class supervised novelty detection. - Fa Zhu; Wenjie Zhang; Xingchi Chen; Xizhan Gao; Ning Ye (Expert Syst. Appl., 2023)

Constraint-weighted support vector ordinal regression to resist constraint noises. - Fa Zhu; Xingchi Chen; Xizhan Gao; Weidu Ye; Hai Zhao; Athanasios V. Vasilakos (Inf. Sci., 2023)

An Improved Fixed-Time Stability Theorem and its Application to the Synchronization of Stochastic Impulsive Neural Networks. - Qingjie Wang; Hui Zhao 009; Aidi Liu; Sijie Niu; Xizhan Gao; Xiju Zong; Lixiang Li 001 (Neural Process. Lett., 2023)

Exploiting Sparse Self-Representation and Particle Swarm Optimization for CNN Compression. - Sijie Niu; Kun Gao 002; Pengfei Ma; Xizhan Gao; Hui Zhao 009; Jiwen Dong; Yuehui Chen; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Efficient Large-Scale Pre-Trained Model Guided MR Imaging Super-Resolution. - Fenghang Zhang; Guang Feng; Xizhan Gao; Sijie Niu (BIBM, 2024)

Contrastive Learning with Global Representation for Face Anti-spoofing. - Kai Wang; Jiwen Dong; Guang Feng; Xizhan Gao; Hui Zhao 009; Zihao Dong; Jinglan Tian; Bowen Liu; Sijie Niu (ICIC (5), 2024)

Correlation-Guided Image-to-Video Transfer Learning for Video Recognition. - Wei Hu; Xizhan Gao; Sijie Niu; Hui Zhao 009; Guang Feng (ICONIP (8), 2024)

Deep Self-supervised Subspace Clustering with Triple Loss. - Xiaotong Bu; Jiwen Dong; Mengjiao Zhang; Guang Feng; Xizhan Gao; Sijie Niu (MMM (2), 2024)

Uncertainty-weighted prototype active learning in domain adaptive semantic segmentation. - Zihao Dong; Sijie Niu; Xizhan Gao; Jinping Li; Xiuli Shao (Expert Syst. Appl., 2024)

Learning adaptive Grassmann neighbors for image-set analysis. - Dong Wei 007; Xiaobo Shen 001; Quansen Sun; Xizhan Gao; Zhenwen Ren (Expert Syst. Appl., 2024)

EDLRDPL_Net: A New Deep Dictionary Learning Network for SAR Image Classification. - Xizhan Gao; Kang Wei; Sijie Niu; Hui Zhao 009; Jiwen Dong (IEEE Signal Process. Lett., 2024)

Coarse-to-fine online latent representations matching for one-stage domain adaptive semantic segmentation. - Zihao Dong; Sijie Niu; Xizhan Gao; Xiuli Shao (Pattern Recognit., 2024)

Joint Metric Learning-Based Class-Specific Representation for Image Set Classification. - Xizhan Gao; Sijie Niu; Dong Wei 007; Xingrui Liu; Tingwei Wang; Fa Zhu; Jiwen Dong; Quansen Sun (IEEE Trans. Neural Networks Learn. Syst., 2024)

ALIEN: Implicit Neural Representations for Human Motion Prediction under Arbitrary Latency. - Dong Wei 007; Xiaoning Sun; Xizhan Gao; Shengxiang Hu 001; Huaijiang Sun (CVPR, 2025)

CNNFormer: A CNN-Transformer Hybrid Model for Referring Image Segmentation. - Kangsai Yao; Guang Feng; Xizhan Gao; Xiaofeng Qu; Sijie Niu (ICIC (5), 2025)

Generalizable retinal image segmentation via style and semantics dual-consistency framework. - Xiaohui Li; Xizhan Gao; Guang Feng; Xueying Zhou; Fenghang Zhang; Zihao Dong; Sijie Niu (Biomed. Signal Process. Control., 2025)

Learning discriminative features via deep metric learning for video-based person re-identification. - Jiahe Wang; Xizhan Gao; Sijie Niu; Hui Zhao 009; Guang Feng; Jiaxin Lin (Expert Syst. Appl., 2025)

DASC: Learning discriminative latent space for video clustering. - Jiaxin Lin; Xizhan Gao; Zhihan Zhang; Haotian Deng (Neurocomputing, 2025)

Video-based fast image set classification for IoT monitoring system. - Xizhan Gao; Yongkang Liu (Internet Technol. Lett., 2025)

Bidirectional two-dimensional supervised multiset canonical correlation analysis for multi-view feature extraction. - Jing Yang; Liya Fan; Quansen Sun; Xizhan Gao (Pattern Recognit. Lett., 2025)

Masked Superpixel Contrastive Subspace Clustering Network for Unsupervised Large-Scale Hyperspectral Image Classification. - Mengjiao Zhang; Tianhao Han; Xiaofeng Qu; Xizhan Gao; Xinwang Liu 002; Sijie Niu (IEEE Trans. Geosci. Remote. Sens., 2025)

Normality Prior-Guided Multisemantic Fusion Network for Unsupervised Image Anomaly Detection. - Muhao Xu; Xueying Zhou; Xizhan Gao; Weiye Song; Guang Feng; Sijie Niu (IEEE Trans. Instrum. Meas., 2025)

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection. - Muhao Xu; Xueying Zhou; Xizhan Gao; Weiye Song; Guang Feng; Sijie Niu (CoRR, 2025)

DCSCR: A Class-Specific Collaborative Representation based Network for Image Set Classification. - Xizhan Gao; Wei Hu (CoRR, 2025)

DIRL: Learning Discriminative ID-Related Representations for Video Visible-Infrared Person ReID. - Jiahe Wang; Xizhan Gao; Sijie Niu; Hui Zhao 009; Guang Feng (ACM Trans. Multim. Comput. Commun. Appl., 2025)