代表作 全部 期刊 会议 其他

2025

[1]   Junhong Zhang, Zhihui Lai, Heng Kong, Jian Yang * .   Learning the optimal discriminant SVM with feature extraction.  IEEE Transactions on Pattern Analysis and Machine Intelligence   Learning the optimal discriminant SVM with feature extraction TPAMI 2025.pdf

[2]   Liang G, Lai Z, Kong H * .   Support vector machine with discriminative low‐rank embedding.  CAAI Transactions on Intelligence Technology   Support vector machine with discriminative low‐rank embedding LRSVM.zip   Support vector machine with discriminative low‐rank embedding 2024 CAAI Trans on Intel Tech.pdf

[3]   Zhihui Lai, Guangfei Liang, Jie Zhou, Heng Kong∗, Yuwu Lu .   A Joint Learning Framework for Optimal Feature Extraction and Multi-class SVM.  Information Sciences   A joint learning framework for optimal feature extraction and multi-class SVM.zip   A joint learning framework for optimal feature extraction and multi-class SVM 2024 IS.pdf

[4]   Zhihui Lai, Foping Chen, Jiajun Wen .   Multi-view robust regression for feature extraction.  Pattern Recognition   MVRR.m   Multi-view robust regression for feature extraction PR 2024.pdf

[5]   Jiajun Wen, Xi Chen, Heng Kong, Junhong Zhang, Zhihui Lai,Linlin Shen .   Subspace Sequentially Iterative Leaning for Semi-supervised SVM.  IEEE Transactions on Emerging Topics in Computational Intelligence (to be appeared)   ISVMcode.zip   ISVMcode Robust_Discriminant_Semi_supervisedSupport_Vector_Machine ISVMcode.pdf

[6]   Junhong Zhang, Zhihui Lai, Heng Kong, and Linlin Shen * .   Robust Twin Bounded Support Vector Classifier with Manifold Regularization.  IEEE Transactions on Cybernetics   Robust Twin Bounded Support Vector Classifier With Manifold Regularization 2023 TCYB.pdf   Robust Twin Bounded Support Vector Classifier with Manifold Regularization.rar

[7]   Yiling Lin, Zhihui Lai,Jie Zhou,Jiajun Wen,Heng Kong * .   Multiview Jointly Sparse Discriminant Common Subspace Learning.  Pattern Recognition   Multiview Jointly Sparse Discriminant Common Subspace Learning PR 2023.pdf   GRMDA_Demo.zip

[8]   Zhihui Lai, Xi Chen, Junhong Zhang, Heng Kong, Jiajun Wen .   Maximal Margin Support Vector Machine for feature representation and classification.  IEEE Transactions on Cybernetics   MSVM codes.zip   Maximal Margin Support Vector Machine for featue representation and classification TCYB 2023.pdf

[9]   Junhong Zhang, Zhihui Lai, Heng Kong, and Linlin Shen * .   Robust Twin Bounded Support Vector Classifier With Manifold Regularization.  IEEE Transactions on Cybernetics   Robust Twin Bounded Support Vector Classifier with Manifold Regularization.rar   Robust_Twin_Bounded_Support_Vector_Classifier_With_Manifold_Regularization TCYB.pdf

[10]   Yudong Chen; Zhihui Lai*; Yujuan Ding; Kaiyi Lin; Wai Keung Wong * .   Deep Supervised Hashing with Anchor Graph.  ICCV 2019   DAGH (open source) ICCV2019.rar   Deep Supervised Hashing with Anchor Graph ICCV2019.pdf

[11]   Dongmei Mo , Zhihui Lai * .   Robust Jointly Sparse Regression with Generalized Orthogonal Learning for Image Feature Selection.  Pattern Recognition   RJSR_PR_matlab_code paper title Robust Jointly Sparse Regression with Generalized Orthogonal Learning for Image Feature Selection-PR.zip   Robust Jointly Sparse Regression with Generalized Orthogonal Learning for Image Feature Selection PR2019.pdf

[12]   Zhihui Lai, Yudong Chen, Jian Wu, Wai Keung Wong, Fumin Shen .   Jointly Sparse Hashing for Image Retrieval .  IEEE Transactions on Image Processing   JSH.rar   Jointly Sparse Hashing for Image Retrieval TIP 2018.pdf

[13]   Zhihui Lai,Yudong Chen, Dongmei Mo, Jiajun Wen, Heng Kong .   Robust jointly sparse embedding for dimensionality reduction.  Neurocomputing   Robust jointly sparse embedding for dimensionality reduction CN 2018.pdf   RJSE-Neurocomputing 2018.m

[14]   Yudong Chen, Zhihui Lai*, Wai Keung Wong, Linlin Shen and Qinghua Hu * .   Low-rank linear embedding for image recognition.  IEEE Transactions on Multimedia   LRLER-TMM 2018.m   Low-rank linear embedding for image recognition TMM 2018.pdf

[15]   Zhihui Lai, Dongmei Mo, Jiajun Wen, Linlin Shen, Wai Keung Wong* .   Generalized robust regression for jointly sparse subspace learning.  IEEE Transactions on Circuits and Systems for Video Technology   GRR_demo.zip

[16]   Zhihui Lai, Dongmei Mo, Wai Keung Wong*, Yong Xu, Duoqian Miao, David Zhang .   Robust discriminant regression for feature extraction.  IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2017.2740949   Matlab Codes.m   Robust discriminant regression for feature extraction TCYB 2018.pdf

[17]   Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Wai Keung Wong, Bingwu Fang .   Regularized label relaxation linear regression.  IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2017.2648880   Paper.pdf   Matlab Codes.zip

[18]   Xiaozhao Fang, Shoahua Teng, Zhihui Lai (Corresponding author), Zhaoshui He, Shengli Xie, Wai Kueng Wong .   Robust latent subspace learning for Image Classification.  IEEE Transactions on Neural Networks and Learning Systems, 10.1109/TNNLS.2017.2693221, 2017   Paper.pdf   Matlab Codes.zip

[19]   W. K. Wong, Zhihui Lai (corresponding author), Jiajun Wen, Xiaozhao Fang, Yuwu Lu, .   Low rank embedding for robust feature extraction.  IEEE Transactions on Image Processing   TIP2691543 proof v2.pdf   adm_lrr.m   LRPP_exe_real_USPS_for_author.m

[20]   Yuwu Lu, Zhihui Lai,Yong Xu, Xuelong Li, David Zhang, and Chun Yuan, .   Nonnegative Discriminant Matrix Factorization.  IEEE Transactions on Circuits and Systems for Video Technology, DOI 10.1109/TCSVT.2016.2539779.

[21]   Shuangyan Yi, Zhihui Lai (co-first), Zhenyu He, , Yiu-ming Cheung, Yang Liu .   Joint sparse principal component analysis.  Pattern Recognition, 2017, 61: 524–536.

[22]   Xiaozhao Fang, Yong Xu，Xuelong Li, Zhihui Lai，Shaohua Teng, Lunke Fei, .   Orthogonal self-guided similarity preserving projection for classification and clustering.  Neural Networks, 2017, 88:1-8.

[23]   Zhihui Lai, Yong Xu, Jian Yang, Linlin Shen, David Zhang .   Rotational invariant dimensionality reduction algorithms.  IEEE Transactions on Cybernetics (Accepted)   Matlab codes.m   paper.pdf

[24]   Zhengming Li, Zhihui Lai (co-first), Yong Xu, Jian Yang, David Zhang .   A Locality Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification.  IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2015.2508025.   Matlab code.rar

[25]   Yudong Chen, Zhihui Lai＊, Ye Zhang .   Sparse nuclear norm two dimensional principal component analysis.  Chinese Conference on Biometric Recognition, Chengdu, China, 2016. (*Best poster paper*)   Matlab code.m   Sparse nuclear norm two dimensional PCA.pdf

[26]   Jiajun Wen, Zhihui Lai (Corresponding author), Yinwei Zhanc, Jinrong Cui .   The L2,1-norm-based unsupervised optimal feature selection with applications to action recognition .  Pattern Recognition, 2016, 60:515–530.

[27]   Zhihui Lai, Waikeung Wong, Yong Xu, Jian Yang, Jinhui Tang and David Zhang .   Approximate orthogonal sparse embedding for dimensionality reduction.  IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(4): 723-735.   Approximate orthogonal sparse embedding for dimensionality reduction OK.pdf   SLE code for readers.zip

[28]   Qing Liu, Zhihui Lai (co-first), Zongwei Zhou, Fangjun Kuang, Zhong Jin .   A Truncated Nuclear Norm Regularization Method based on Weighted Residual Error for Matrix Completion.  IEEE Transactions on Image Processing, 2016, 25(1): 316-330.   A Truncated Nuclear Norm Regularization Method based on Weighted Residual Error for Matrix Completion TIP 2016.pdf   matlab code.rar

[29]   Heng Kong, Zhihui Lai (corresponding author), Xu Wang, Feng Liu .   Breast Cancer Discriminant Feature Analysis for Diagnosis via Jointly Sparse Learning.  Neurocomputing,2016, 177: 198-205.   paper.pdf   Matlab code.m

[30]   W. K. Wong, Zhihui Lai (corresponding author), Yong Xu, Jiajun Wen .   Joint tensor feature analysis for visual object recognition.  IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2014.2374452.   Joint tensor feature analysis for visual object recognition OK.pdf   JTFA Matlab code.zip

[31]   Yuwu Lu, Zhihui Lai (co-first author),Yong Xu .   Low rank preserving projections.  IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2015.2457611   Low rank preserving projections TCYB 14page.pdf

[32]   Xiaoshuang Shi, Zhenhua Guo, Zhihui Lai, Yujiu Yang, Zhifeng Bao, David Zhang, .   A Framework of Joint Graph Embedding and Sparse Regression for Dimensionality Reduction.  IEEE Transactions on Image Processing, 2015, 24(4): 1057-7149.

[33]   Xiaozhao Fang, Yong Xu, Xuelong li, Zhihui Lai, and Wai Keung Wong .   Learning a nonnegative sparse graph for linear regression.  IEEE Transactions on Image Processing, DOI 10.1109/TIP.2015.2425545.

[34]   Yuwu Lu, Zhihui Lai, Zizhu Fan, Jingron Cui and Qi Zhu .   Manifold Discriminant Regression Learning for Image Classification.  Neurocomputing, 2015, DOI: 10.1016/j.neucom.2015.03.031.

[35]   Zhihui Lai, W. K. Wong, Yong Xu, Mingming Sun and Cairong Zhao .   Sparse Alignment for Robust Tensor Learning.  IEEE Transactions on Neural Networks and Learning Systems, 2014, 25(10): 1779-1792.   sparse alignment for robust tensor learning TNNLS2014.pdf

[36]   Zhihui Lai, Yong Xu, Zhong Jin, and David Zhang .   Human gait recognition via sparse discriminant projection learning.  IEEE Transactions on Circuits and Systems for Video Technology, 2014, 24(10): 1651-1662.   Human gait recognition via sparse discriminant projection learning TCSVT 2014.pdf   SBDA_forReader.m

[37]   Xiaoshuang Shi, Zhenhua Guo, Zhihui Lai (corresponding author) .   Face Recognition by Sparse Discriminant Analysis via Joint L2,1-norm Minimization.  Pattern Recognition, 2014, 47(7):2447-2453.   Face Recognition by Sparse Discriminant Analysis via Joint L21-norm Minimization OK.pdf   Demo.7z

[38]   Yong Xu, Xuelong Li, Jian Yang, Zhihui Lai, and David Zhan .   Integrating conventional and inverse representation for face recognition.  IEEE Transactions on Cybernetics, 2014, 44(10):1738-1746.

[39]   Zizhu Fan, Yong Xu, Wangmeng Zuo, Jian Yang, Jinhui Tang, Zhihui Lai, David Zhang .   Modified principal component analysis (MPCA): an integration of multiple similarity subspace models.  IEEE Transactions on Neural Networks and Learning Systems, 2014, 25(8): 1538-1552.

[40]   Jiajun Wen, Yong Xu, Jinhui Tang, Yinwei Zhan, Zhihui Lai, Xiao-Tang Guo .   Joint Video Frame Set Division and Low-Rank Decomposition for Background Subtraction..  IEEE Transactions on Circuits and Systems for Video Technology, 2014, 24(12): 2034-2048.

[41]   Jiajun Wen, Jinrong Cui, Zhihui Lai, Jianxun Mi, Xiaotang Guo .   Optimal representation set construction with competitive scheme for palmprint and face recognition.  International Journal of Computer Mathematics, 2014, 91(11): 2341-2358.

[42]   Jiajun Wen, Zhihui Lai (corresponding author), Wai Keung Wong, Jinrong Cui, Minghua Wan .   Optimal Feature Selection for Robust Classification via l2, 1-Norms Regularization.  In Proceedings of International Conference on Pattern Recognition (ICPR) 2014: 517-521.

[43]   Zhihui Lai, Yong Xu, Qingcai Chen, Jian Yang and David Zhang .   Multilinear Sparse Principal Component Analysis.  IEEE Transactions on Neural Networks and Learning Systems, 2014, 25(10): 1942-1950.   Multilinear sparse principal componnet analysis TNNLS2014.pdf   MSPCA for readers.rar

[44]   Zhihui Lai, Yong Xu, Jian Yang, and David Zhang .   Sparse tensor discriminant analysis.  IEEE Transactions on Image Processing, 2013, 22(10): 3904-3915.   Sparse Tensor Discriminant Analysis TIP2013.pdf   STDA codes for readers V2.rar

[45]   Zhihui Lai, Yajing Li, Minghua Wan, Zhong Jing .   Local sparse representation projections for face recognition.  Neural Computing and Applications, 2013, 23(7-8):2231-2239.

[46]   Yong Xu, Qi Zhu, Zizhu Fan, David Zhang, Jian-Xun Mi, Zhihui Lai .   Using the idea of the sparse representation to perform coarse-to-fine face recognition.  Information Sciences, 2013, 238: 138-148

[47]   Jie Xu, Jian Yang, Zhihui Lai .   K-Local Hyperplane Distance Nearest Neighbor Classifier Oriented Local Discriminant Analysis.  Information Sciences, 2013, 232(20): 11-26

[48]   21) Cairong Zhao, Duoqian Miao, Zhihui Lai, Can Gao, Chuancai Liu, Jingyu Yang .   Two-dimensional color uncorrelated discriminant analysis for face recognition.  Neurocomputing, 2013, 113: 251-261.

[49]   Cairong Zhao,Duoqian Miao,Zhihui Lai,Can Gao,Chuancai Liu,Jingyu Yang .   Two-dimensional color uncorrelated discriminant analysis for face recognition..  Neurocomputing

[50]   Zhihui Lai, Wai Keung Wong, Zhong Jin, Jian Yang, and Yong Xu, .   Sparse approximation to the eigensubspace for discrimination.  IEEE Transactions on Neural Networks and Learning Systems, 2012, 23(12):1948-1960.   sparse approximation to the eigensubspace for discrimination TNN2012.pdf   S2DP Matlab code for readers.rar

[51]   23) Zhihui Lai .   Sparse Local Discriminant Projections for Discriminant Knowledge Extraction and Classification.  IET Computer Vision, 2012, 6(6):551-559.

[52]   Zhihui Lai, Cairong Zhao, Minghua Wan .   Fisher difference discriminant analysis: determining the effective discriminant subspace dimensions for face recognition.  Neural Processing Letters, 2012, 35(3):203-220.

[53]   Zhihui Lai, Zhong Jin, Mingming Sun, Jian Yang .   Dynamic transition embedding for image feature extraction and recognition.  Neural Computing and Applications, 21 (8):1905-1915, 2012

[54]   Cairong Zhao, Zhihui Lai, Chuancai Liu, Xingjian Gu, Jianjun Qian .   Fuzzy local maximal marginal embedding for feature extraction.  Soft Computing, 2012, 16(1):77-87.

[55]   Minghua Wan, Ming Li, Zhihui Lai, Jun Yin, Zhong Jin .   Feature extraction based on fuzzy class mean embedding (FCME) with its application to face and palm biometrics.  Machine Vision and Applications, 2012, 23(5): 985-997

[56]   Zhihui Lai,Cairong Zhao,Minghua Wan .   Fisher Difference Discriminant Analysis: Determining the Effective Discriminant Subspace Dimensions for Face Recognition..  Neural Processing Letters

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

[58]   Cairong Zhao,Zhihui Lai,Chuancai Liu,Xingjian Gu,Jianjun Qian .   Fuzzy local maximal marginal embedding for feature extraction..  Soft Comput.

[59]   Zhihui Lai,Zhong Jin,Jian Yang,Mingming Sun .   Dynamic transition embedding for image feature extraction and recognition..  Neural Computing and Applications

[60]   Zhihui. Lai, Zhong Jin, Jian Yang .   Sparse two dimensional local discriminant projections for feature extraction.  Neurocomputing, vol. 74, no. 4, pp. 629-637, Jan. 2011.   Sparse two-dimensional local discriminant projections for feature extraction NC2011.pdf   S2DLDP Matlab code for readers.rar

[61]   Zhihui Lai, Minghua Wan, Zhong Jin .   Locality Preserving Embedding for Face and Handwriting Digital Recognition.  Neural Computing and Applications, vol. 20, no. 4, pp. 565-573, 2011.

[62]   Zhihui Lai, Cairong Zhao, Yi Chen, Zhong Jin .   Maximal Local Interclass Embedding with Application to Face Recognition.  Machine Vision and Applications, vol. 22, no. 4, pp. 619-627, 2011.

[63]   Minghua Wan, Zhihui Lai, Zhong Jin .   Feature extraction using two-dimensional local graph embedding based on maximum margin criterion.  Applied Mathematics and Computation, 2011, vol. 217, no. 23, pp. 9659-9668.

[64]   Minghua. Wan, Zhihui Lai, Zhong Jin .   Locally minimizing embedding and globally maximizing variance: unsupervised linear discriminant projection for dimensionality reduction.  Neural Processing Letters, 2011, vol. 33, no. 3, pp. 267-282.

[65]   Cairong Zhao, Chuancai Liu, Zhihui Lai, Sui Yi, Zuoyong Li .   Sparse Embedding Visual Attention Model combined with edge information.  International Journal of Electronics and Communications, vol. 65, no. 12, pp. 1061-1068, Dec. 2011.

[66]   Cairong Zhao, Chuancai Liu, Zhihui Lai .   Multi-scale gist feature manifold for building recognition.  Neurocomputing, vol. 74, no. 17, pp. 2929~2940, 2011

[67]   Zhihui. Lai, Zhong Jin, Jian Yang, W.K. Wong .   Sparse Local Discriminant Projections for Face Feature Extraction.  In Proceedings of International Conference on Pattern Recognition, Istanbul, Turkey, 2010

[68]   Zhihui. Lai, Zhong Jin, Jian Yang, W.K. Wong .   Tangent space discriminant analysis for feature extraction.  In Proceedings of International Conference on Image Processing, Hong Kong, China, 2010

[69]   Minghua Wan,Zhihui Lai,Jie Shao,Zhong Jin .   Two-dimensional local graph embedding discriminant analysis (2DLGEDA) with its application to face and palm biometrics.  Neurocomputing, vol. 73, no. 1-3, Dec. 2009, pp 197-203.

[70]   Cairong Zhao,ChuanCai Liu,Zhihui Lai,Yue Sui,Zuoyong Li .   Sparse Embedding Visual Attention Model.  Chinese Conference on Pattern Recognition

[71]   Zhihui Lai,Zhong Jin,Jian Yang .   Global Sparse Representation Projections for Feature Extraction and Classification.  Chinese Conference on Pattern Recognition