Multi-locality correlation feature learning for image recognition. - Shuzhi Su; Hong-Wei Ge; Yunhao Yuan 001 (ISCC, 2016)

Kernel propagation strategy: A novel out-of-sample propagation projection for subspace learning. - Shuzhi Su; Hongwei Ge; Yunhao Yuan 001 (J. Vis. Commun. Image Represent., 2016)

Multi-patch embedding canonical correlation analysis for multi-view feature learning. - Shuzhi Su; Hongwei Ge; Yunhao Yuan 001 (J. Vis. Commun. Image Represent., 2016)

A label embedding kernel method for multi-view canonical correlation analysis. - Shuzhi Su; Hongwei Ge; Yunhao Yuan 001 (Multim. Tools Appl., 2017)

Multi-graph embedding discriminative correlation feature learning for image recognition. - Shuzhi Su; Hongwei Ge; Yubing Tong (Signal Process. Image Commun., 2018)

Chinese Micro-Blog Sentiment Analysis Based on Multiple Sentiment Dictionaries and Semantic Rule Sets. - Jiesheng Wu; Kui Lu; Shuzhi Su; Shi-Bing Wang (IEEE Access, 2019)

Association data release with the randomised response based on Bayesian networks. - Gaoming Yang; Tao Dong; Xianjin Fang; Shuzhi Su (Int. J. Comput. Sci. Eng., 2019)

Structural Constraint and Discriminative Constraint Based Dictionary Pair Learning for Image Classification. - Jinghua Yang; Shuangxi Wang; Shuzhi Su; Huazhong Li (IEEE Access, 2020)

Multi-Modal Subspace Fusion via Cauchy Multi-Set Canonical Correlations. - Yanmin Zhu; Tianhao Peng 001; Shuzhi Su; Changpeng Li (IEEE Access, 2020)

Clustering adaptive canonical correlations for high-dimensional multi-modal data. - Shuzhi Su; Xianjin Fang; Gaoming Yang; Bin Ge; Ping Zheng (J. Vis. Commun. Image Represent., 2020)

Label-wise Orthogonal Canonical Correlation Analysis and Its Application to Image Recognition. - Xinrui Ping; Qianjin Zhao; Shuzhi Su (ICAIIS, 2021)

A Dynamic Discriminative Canonical Correlation Analysis via Adaptive Weight Scheme. - Shuzhi Su; Penglian Gao; Yanmin Zhu; Xingzhu Liang; Jun Xie (IEEE Access, 2021)

An Orthogonal Locality and Globality Dimensionality Reduction Method Based on Twin Eigen Decomposition. - Shuzhi Su; Gang Zhu; Yanmin Zhu (IEEE Access, 2021)

Virtual samples based robust block-diagonal dictionary learning for face recognition. - Shuangxi Wang; Hongwei Ge; Jinlong Yang 002; Shuzhi Su (Intell. Data Anal., 2021)

Reciprocal kernel-based weighted collaborative-competitive representation for robust face recognition. - Shuangxi Wang; Hongwei Ge; Jinlong Yang 002; Yubing Tong; Shuzhi Su (Mach. Vis. Appl., 2021)

RLP-AGMC: Robust label propagation for saliency detection based on an adaptive graph with multiview connections. - Chenxing Xia; Xiuju Gao; Xianjin Fang; Kuan-Ching Li; Shuzhi Su; Haitao Zhang (Signal Process. Image Commun., 2021)

Exponential Multi-Modal Discriminant Feature Fusion for Small Sample Size. - Yanmin Zhu; Tianhao Peng 001; Shuzhi Su (IEEE Access, 2022)

Transformer-based two-source motion model for multi-object tracking. - Jieming Yang; Hongwei Ge; Shuzhi Su; Guoqing Liu (Appl. Intell., 2022)

Online multi-object tracking using multi-function integration and tracking simulation training. - Jieming Yang; Hongwei Ge; Jinlong Yang 002; Yubing Tong; Shuzhi Su (Appl. Intell., 2022)

Combining affinity propagation with differential evolution for three-echelon logistics distribution optimization. - Haifei Zhang; Hongwei Ge; Jieming Yang; Shuzhi Su; Yubing Tong (Appl. Soft Comput., 2022)

Fusion of effective dimension reduction and discriminative dictionary learning for high-dimensional classification. - Shuangxi Wang; Hong-Wei Ge; Jianping Gou; Weihua Ou; He-Feng Yin; Shuzhi Su (Comput. Electr. Eng., 2022)

Online Pedestrian Multiple-Object Tracking with Prediction Refinement and Track Classification. - Jieming Yang; Hongwei Ge; Jinlong Yang 002; Yubing Tong; Shuzhi Su (Neural Process. Lett., 2022)

Robust multi-view subspace enhanced representation based on collaborative constraints and HSIC induction. - Guoqing Liu; Hongwei Ge; Ting Li; Shuzhi Su; Shuangxi Wang (Eng. Appl. Artif. Intell., 2023)

Cross-modal correlation feature extraction with orthogonality redundancy reduce and discriminant structure constraint. - Qianjin Zhao; Xinrui Ping; Shuzhi Su (Int. J. Comput. Sci. Eng., 2023)

Coupled locality discriminant analysis with globality preserving for dimensionality reduction. - Shuzhi Su; Gang Zhu; Yanmin Zhu; Bin Ge; Xingzhu Liang (Appl. Intell., 2023)

Multi-view subspace enhanced representation of manifold regularization and low-rank tensor constraint. - Guoqing Liu; Hongwei Ge; Ting Li; Shuzhi Su; Shuangxi Wang (Int. J. Mach. Learn. Cybern., 2023)

Hypergraph regularized low-rank tensor multi-view subspace clustering via L1 norm constraint. - Guoqing Liu; Hongwei Ge; Shuzhi Su; Shuangxi Wang (Appl. Intell., 2023)

Low-rank tensor multi-view subspace clustering via cooperative regularization. - Guoqing Liu; Hongwei Ge; Shuzhi Su; Shuangxi Wang (Multim. Tools Appl., 2023)

Disentangled feature fusion network for lightweight image super-resolution. - Huilin Liu; Jianyu Zhou; Shuzhi Su; Gaoming Yang; Pengfei Zhang (Digit. Signal Process., 2024)

Three-stage multi-modal multi-objective differential evolution algorithm for vehicle routing problem with time windows. - Haifei Zhang; Hong-Wei Ge; Ting Li; Shuzhi Su; Yubing Tong (Intell. Data Anal., 2024)

Infrared and Visible Image Fusion Based on Saliency Detection Dynamic Threshold Neural P Systems in Non-Subsampled Shearlet Transform Domain. - Jiachang Xu; Ding Hong; Shuzhi Su; Ruichong Fang; Hongjin Li (IEEE Trans. Instrum. Meas., 2024)

Multi-view clustering via dual-norm and HSIC. - Guoqing Liu; Hongwei Ge; Shuzhi Su; Shuangxi Wang (Multim. Tools Appl., 2024)

High-density foreground object detection in optical remote sensing images via semantic fusion and box alignment. - Shuzhi Su; Zefang Tang; Yanmin Zhu (Vis. Comput., 2024)

Robust multi-view clustering via collaborative constraints and multi-layer concept factorization. - Guoqing Liu; Hongwei Ge; Ting Li; Shuzhi Su; Penglian Gao (Appl. Intell., 2024)

RCENet: an efficient pose estimation network based on regression correction. - Shuzhi Su; Benjie She; Yanmin Zhu; Xianjin Fang; Yang Xu (Multim. Syst., 2024)

Combining decomposition and graph capsule network for multi-objective vehicle routing optimization. - Haifei Zhang; Hongwei Ge; Ting Li; Lujie Zhou; Shuzhi Su; Yubing Tong (Intell. Data Anal., 2025)

Prediction of mortality in hemodialysis patients based on autoencoders. - Shuzhi Su; Jisheng Gao; Jingjing Dong; Qi Guo; Hualin Ma; Shaodong Luan; Xuejia Zheng; Huihui Tao; Lingling Zhou; Yong Dai (Int. J. Medical Informatics, 2025)

Multi-granularity enhanced feature learning for visible-infrared person re-identification. - Huilin Liu; Yuhao Wu; Zihan Tang; Xiaolong Li; Shuzhi Su; Xingzhu Liang; Pengfei Zhang (J. Supercomput., 2025)

Multi-view clustering via diversity induction and multi-layer concept factorization. - Guoqing Liu; Hongwei Ge; Ting Li; Shuzhi Su; Penglian Gao (Pattern Anal. Appl., 2025)

Region-aware unknown information enhancement for open world object detection. - Shuzhi Su; Chao Wang; Yanmin Zhu; Yang Xu (Clust. Comput., 2025)