代表作 全部 期刊 会议 其他

2024

[1]   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

[2]   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

[3]   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

[4]   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

[5]   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

[6]   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

[7]   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

[8]   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

[9]   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

[10]   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

[11]   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

[12]   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

[13]   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

[14]   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

[15]   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.

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

[17]   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.

[18]   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

[19]   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

[20]   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

[21]   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.

[22]   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

[23]   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

[24]   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

[25]   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

[26]   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

[27]   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.

[28]   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.

[29]   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.

[30]   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

[31]   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

[32]   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

[33]   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.

[34]   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.

[35]   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.

[36]   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.

[37]   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.

[38]   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

[39]   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

[40]   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.

[41]   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

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

[43]   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.

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

[45]   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

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

[47]   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.

[48]   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

[49]   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.

[50]   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

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

[52]   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.

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

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

[55]   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

[56]   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.

[57]   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.

[58]   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.

[59]   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.

[60]   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.

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

[62]   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

[63]   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

[64]   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.

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

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