主要的国际期刊论文列表
Zhao Zhang*, Yan Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang and Shuicheng Yan. Discriminative Sparse Flexible Manifold Embedding with Novel Graph for Robust Visual Representation and Label Propagation. Pattern Recognition (PR), 2017, 61: 492–510.
Li Zhang*, Wei-Da Zhou. Fisher-regularized support vector machine. Information Sciences, 2016, 343-344(5): 79-93.
Wenxuan Xu, Li Zhang*, Yaping Lu, SD-MSAEs: Promoter recognition in human genome based on deep feature extraction, Journal of Biomedical Informatics, 2016, 61 (3): 55–62.
Mei Lu*, Xiang-Jun Zhao, Li Zhang, Fan-Zhang Li, Semi-supervised concept factorization for document clustering. Information Sciences, 2016, 331(2): 86-98.
Li Zhang*, Liqiang Qian, Chuntao Ding, Weida Zhou, Fanzhang Li. Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data, Computers in Biology and Medicine, 2015, 64(9): 236-245.
Li Zhang*，Yiqin Leng, Jiwen Yang, Fanzhang. Supervised locally linear embedding algorithm based on orthogonal matching pursuit. IET Image Processing, 2015, 9(8): 626-633.
Peipei Xia, Li Zhang*, Fanzhang Li. Learning similarity with cosine similarity ensemble. Information Sciences. 2015, 307(6): 39–52.
Chuntao Ding, Li Zhang*, Double adjacency graphs-based discriminant neighborhood embedding, Pattern Recognition, 2015, 48(5): 1734–1742.
Li Zhang*, Wei-Da Zhou, Time series prediction using sparse regression ensemble based on l2-l1 problem, Soft Computing, 2015, 19(3): 781-792.
Jin Cao, Li Zhang*, Bangjun Wang, Fanzhang Li, Jiwen Yang, A fast gene selection method for multi-cancer classification using multiple support vector data description, Journal of Biomedical Informatics, 2015, 53(2): 381-389.
Yiqin Leng, Li Zhang*, Jiwen Yang. Orthogonal matching pursuit-based incremental locally linear embedding algorithm, International Journal Autonomous and Adaptive Communications Systems, 2015, 8(2-3): 257-267.
L. Zhang, W. D Zhou, G. R. Chen, Y.P. Lu, F. Z Li. Sparse signal reconstruction using decomposition algorithm, Knowledge-Based Systems, 2013, 54(18), 172-179.
L. Zhang, and W. D. Zhou. A fastalgorithm for kernel 1-norm support vector machines, Knowledge-Based Systems,2013, 52(16), 223 – 235.
L. Zhang, and W. D. Zhou. 1-normsupport vector novelty detection and its sparseness, Neural Networks, 2013, 48(12),125-136.
L. Zhang, and W. D. Zhou. Analysisof programming properties and the row–column generation method for 1-normsupport vector machines, Neural Networks,2013, 48(12), 32-43
L. Zhang, W.-D. Zhou, P.-C. Chang,Ji-Wen Yang and Fan-Zhang Li. Iterated time series prediction with multiplesupport vector regression models, Neurocomputing,2013, 99, 411–422
W. Zhong, J. Liu, L. Zhang.Evolutionary dynamics of continuous strategy games on graphs and socialnetworks under weak selection, BioSystems, 2013, 111, 102– 110.
D. Wang, P.-C. Chang, L.Zhang, J.-L. Wu, C. L. Zhou. The stability analysis for a novel feedbackneural network with partial connection, Neurocomputing, 2013, 116, 22-29
L. Zhang, W.-D. Zhou, P.-C. Chang, et al. Kernel sparserepresentation-based classifier, IEEE Transactionson Signal Processing, 2012, 60, 1684-1695.
Li Zhang and Weida Zhou. Sparse ensembles using weightedcombination methods based on linear programming. Pattern Recognition, 44(1):97-106,January 2011.
Li Zhang and Weida Zhou. Density-induced margin supportvector machines. Pattern Recognition, 44(7):1448 – 1460, July 2011.
Li Zhang, Wei-Da Zhou, and Pai-Chann Chang. Generalizednonlinear discriminant analysis and its small sample size problems.Neurocomputing, 74(4):568–574, January 2011.
Li Zhang and Weida Zhou. On the sparseness of 1-normsupport vector machines. Neural Networks, 23:373–385, April 2010.
Li Zhang, Weida Zhou, and Licheng Jiao. Complex-valuedsupport vector classifiers. Digital Signal Processing, 20:944–955, May 2010.
Li Zhang, Yugeng Xi, and Weida Zhou. Identification andcontrol of discrete-time nonlinear systems using affine support vector machines.International Journal on Artificial Intelligence Tools, 18(6):929–947, 2009.
Li Zhang, Weida Zhou, Tiantian Su, and Licheng Jiao.Decision tree support vector machine. International Journal on ArtificialIntelligence Tools, 16(1):1–16, 2007.
Li Zhang, Weida Zhou, and Licheng Jiao. Wavelet supportvector machine. IEEE Trans. SMC Part B, 34(1):34–39, 2004.
Li Zhang, Weida Zhou, and Licheng Jiao. Hidden spacesupport vector machines. IEEE Trans. NNs, 15(6):1424–1434, 2004.