A modified NLDA algorithm. - Jun Yin 003; Zhong Jin (ICIP, 2010)

Face recognition based on the quotient image method and sparse representation. - Zhonghua Liu; Jingbo Zhou; Jun Yin 003; Zhong Jin (ICNC, 2010)

Normalized Direct Linear Discriminant Analysis with its Application to Face Recognition. - Jun Yin 003; Zhong Jin; Jingbo Zhou (J. Digit. Content Technol. its Appl., 2010)

Kernel sparse representation based classification. - Jun Yin 003; Zhonghua Liu; Zhong Jin; Wankou Yang (Neurocomputing, 2012)

Feature extraction based on fuzzy class mean embedding (FCME) with its application to face and palm biometrics. - Minghua Wan; Ming Li; Zhihui Lai; Jun Yin 003; Zhong Jin (Mach. Vis. Appl., 2012)

From NLDA to LDA/GSVD: a modified NLDA algorithm. - Jun Yin 003; Zhong Jin (Neural Comput. Appl., 2012)

Weighted linear embedding: utilizing local and nonlocal information sufficiently. - Jun Yin 003; Jingbo Zhou; Zhong Jin; Jian Yang 003 (Neural Comput. Appl., 2012)

Kernel Collaborative Representation with Regularized Least Square for Face Recognition. - Zhenyu Wang; Wankou Yang; Jun Yin 003; Changyin Sun 001 (CCBR, 2013)

Image classification using kernel collaborative representation with regularized least square. - Wankou Yang; Zhenyu Wang; Jun Yin 003; Changyin Sun 001; Karl Ricanek (Appl. Math. Comput., 2013)

Kernel locality-constrained collaborative representation based discriminant analysis. - Lai Wei 001; Feifei Xu; Jun Yin 003; Aihua Wu 003 (Knowl. Based Syst., 2014)

GPU-based parallel group ICA for functional magnetic resonance data. - Yanshan Jing; Weiming Zeng; Nizhuan Wang 001; Tianlong Ren; Yingchao Shi; Jun Yin 003; Qi Xu (Comput. Methods Programs Biomed., 2015)

Latent space robust subspace segmentation based on low-rank and locality constraints. - Lai Wei 001; Aihua Wu 003; Jun Yin 003 (Expert Syst. Appl., 2015)

Spectral clustering steered low-rank representation for subspace segmentation. - Lai Wei 001; Xiaofeng Wang; Jun Yin 003; Aihua Wu 003 (J. Vis. Commun. Image Represent., 2016)

Optimal feature extraction methods for classification methods and their applications to biometric recognition. - Jun Yin 003; Weiming Zeng; Lai Wei 001 (Knowl. Based Syst., 2016)

Optimized projection for Collaborative Representation based Classification and its applications to face recognition. - Jun Yin 003; Lai Wei 001; Miao Song 002; Weiming Zeng (Pattern Recognit. Lett., 2016)

A Novel Brain Networks Enhancement Model (BNEM) for BOLD fMRI Data Analysis With Highly Spatial Reproducibility. - Nizhuan Wang 001; Weiming Zeng; Dongtailang Chen; Jun Yin 003; Lei Chen 007 (IEEE J. Biomed. Health Informatics, 2016)

Self-regularized fixed-rank representation for subspace segmentation. - Lai Wei 001; Xiaofeng Wang; Jun Yin 003; Aihua Wu 003 (Inf. Sci., 2017)

An improved multi-objective optimization-based CICA method with data-driver temporal reference for group fMRI data analysis. - Yuhu Shi; Weiming Zeng; Xiaoyan Tang; Wei Kong; Jun Yin 003 (Medical Biol. Eng. Comput., 2018)

Local sparsity preserving projection and its application to biometric recognition. - Jun Yin 003; Zhihui Lai; Weiming Zeng; Lai Wei 001 (Multim. Tools Appl., 2018)

Subspace segmentation via self-regularized latent K-means. - Lai Wei 001; Rigui Zhou; Xiaofeng Wang; Changming Zhu; Jun Yin 003; Xiafen Zhang (Expert Syst. Appl., 2019)

Latent graph-regularized inductive robust principal component analysis. - Lai Wei 001; Rigui Zhou; Jun Yin 003; Changming Zhu; Xiafen Zhang; Hao Liu (Knowl. Based Syst., 2019)

An Improved Structured Low-Rank Representation for Disjoint Subspace Segmentation. - Lai Wei 001; Yan Zhang 002; Jun Yin 003; Rigui Zhou; Changming Zhu; Xiafeng Zhang (Neural Process. Lett., 2019)

The Eighth Visual Object Tracking VOT2020 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Linbo He; Yushan Zhang; et al. (ECCV Workshops (5), 2020)

Adaptive graph-regularized fixed rank representation for subspace segmentation. - Lai Wei 001; Rigui Zhou; Changming Zhu; Xiafen Zhang; Jun Yin 003 (Pattern Anal. Appl., 2020)

Multiview Uncorrelated Locality Preserving Projection. - Jun Yin 003; Shiliang Sun (IEEE Trans. Neural Networks Learn. Syst., 2020)

The Ninth Visual Object Tracking VOT2021 Challenge Results. - Matej Kristan; Jirí Matas; Ales Leonardis; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Hyung Jin Chang; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Jani Käpylä; et al. (ICCVW, 2021)

Anchor-based incomplete multi-view spectral clustering. - Jun Yin 003; Runcheng Cai; Shiliang Sun (Neurocomputing, 2022)

Incomplete multi-view clustering with cosine similarity. - Jun Yin 003; Shiliang Sun (Pattern Recognit., 2022)

Adaptive Graph Convolutional Subspace Clustering. - Lai Wei 001; Zhengwei Chen; Jun Yin 003; Changming Zhu; Rigui Zhou; Jin Liu 009 (CVPR, 2023)

Incomplete Multi-View Clustering With Reconstructed Views. - Jun Yin 003; Shiliang Sun (IEEE Trans. Knowl. Data Eng., 2023)

Multi-view multi-label learning with double orders manifold preserving. - Jun Yin 003; Wentao Zhang (Appl. Intell., 2023)

Effective sample pairs based contrastive learning for clustering. - Jun Yin 003; Haowei Wu; Shiliang Sun (Inf. Fusion, 2023)

Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving. - Jun Yin 003; Shiliang Sun; Lai Wei 001; Pei Wang (AAAI, 2024)

RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception. - Chunliang Li; Wencheng Han; Jun Yin 003; Sanyuan Zhao; Jianbing Shen (ECCV (32), 2024)

Graph based Consistency Learning for Contrastive Multi-View Clustering. - Binbin Xu; Jun Yin 003; Nan Zhang 014 (ACM Multimedia, 2024)

ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow Prediction. - Dubing Chen; Jin Fang; Wencheng Han; Xinjing Cheng; Jun Yin 003; Chenzhong Xu; Fahad Shahbaz Khan; Jianbing Shen (CoRR, 2024)

Enhancing multi-modal fusion in visual dialog via sample debiasing and feature interaction. - Chenyu Lu; Jun Yin 003; Hao Yang; Shiliang Sun (Inf. Fusion, 2024)

Tensor Low-Rank Graph Embedding and Learning for One-Step Incomplete Multi-View Clustering. - Minghua Wan; Jingyu Zhu; Chengli Sun; Zhangjing Yang; Jun Yin 003; Guowei Yang 002 (IEEE Trans. Multim., 2024)

Random image masking and in-batch feature mixing for self-supervised learning. - Guiyu Li; Jun Yin 003 (Expert Syst. Appl., 2025)

Incomplete Multi-View Clustering via Multi-Level Contrastive Learning. - Jun Yin 003; Pei Wang; Shiliang Sun; Zhonglong Zheng (IEEE Trans. Knowl. Data Eng., 2025)