[1] Ou Jun, Yujian Li. Two-dimensional Perceptrons. Soft Computing, 2019, available on line.
[2] Ou Jun, Yujian Li. Vector-kernel convolutional neural networks. Neurocomputing, 2019, 330(2): 253-258.
[3] Ou Jun, Yujian Li. Symmetric decomposition of convolution kernels. IEICE TRANSACTIONS on Information and Systems, 2019, 102(1): 219-222.
[4] Ou Jun, Yujian Li, Chengkai Shen. Unlabeled PCA-shuffling initialization for convolutional neural networks. Applied Intelligence, 2018, 48(12): 4565-4576.
[5] Yujian Li, Yahong Zhang, Ting Zhang, Pius Kwao Gadesay and Zhaoying Liu. Feature Clustering Dimensionality Reduction based on Affinity Propagation. Intelligent Data Analysis, 2018, 22: 309-323.
[6] Yujian Li, Yahong Zhang. Detecting manifold dependences of multivariate data with total correlation. Intelligent Data Analysis, 2018, 22: 467-489.
[7] Qiangkui Leng, Yunping Qin, Yujian Li. A multi-class learning method for multiconlitron using hybrid binarytree architecture. Applied Soft Computing, 2018, 64: 497-507.
[8] Zhaoying Liu, Xiangzhi Bai,Changming Sun, Fugen Zhou and Yujian Li. Multi-modal ship target image smoothing based on adaptive mean shift. IEEE Access, 2018, 6: 12573-12586.
[9] Yujian Li, Ting Zhang. Deep Neural Mapping Support Vector Machines. Neural Networks (NN), 2017, 93: 185-194.
[10] Yujian Li, Qiangkui Leng, Yaozong Fu. Cross kernel distance minimization for designing support vector machines. International Journal of Machine Learning and Cybernetics, 2017, 8(5): 1585-1593.
[11] Yafei Jian, Yun Tian, Yujian Li, Pengbin Fu. Exponential Discriminative Locality Alignment for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, 2017, 14(1): 33-37.
[12] 张婷,李玉鑑,胡海鹤,张亚红. 基于跨连卷积神经网络的性别分类模型.自动化学报, 2016,42(2): 858-865.
[13] 李玉鑑, 张亚红. 三元变量间一维流形依赖关系的检测. 电子学报, 2016, 44(3): 639-645.
[14] Zhaoying Liu, Xiangzhi Bai, Changming Sun, Fugen Zhou, Yujian Li. Infrared ship target segmentation through integration of multiple feature maps. Image and Vision Computing, 2016, 48-49: 14-25.
[15] Yujian Li, Shaofeng Zeng, Yong Yang. Image Matching with Multi-order Features. IEEE Signal Processing Letters, 2015, 22 (12): 2214-2218.
[16] Yujian Li, Qiangkui Leng. Alternating Multiconlitron: A Novel Framework for Piecewise Linear Classification. Pattern Recognition, 2015, 48: 968-975.
[17] Yafei Jia, Yujian Li, Pengbin Fu, Yun Tian. NearestFeature Line and Point Embedding for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, 2015, 12(3): 651-655.
[18] 张亚红、李玉鑑、张婷. 检测多元相关关系的最大信息熵方法. 电子与信息学报, 2015, 37(1): 123-129.
[19] Yujian Li, Houjun Li, Zhi Cai. Fast orthogonal Haar transform pattern matching via image square sum. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014, 36 (9): 1748-1760.
[20] Yujian Li, Qiangkui Leng, Yaozong Fu, Houjun Li. Growing construction of conlitron and multiconlitron. Knowledge-based Systems, 2014, 65: 12-20.
[21] 冷强奎, 李玉鑑. 组合凸线性感知器的极大切割构造方法. 自动化学报, 2014, 40(4): 721-730.
[22] Yujian Li, Houjun Li, Zhi Cai. Human eyebrow recognition in the matching-recognizing framework. Computer Vision and Image Understanding, 2013, 117: 170-181.
[23] Yujian Li, Dongxia Meng, Zhiming Gui. Random optimized geometric ensembles. Neurocomputing, 2012, 94: 159-163.
[24] Yujian Li, Bo Liu, Xinwu Yang, Yaozong Fu, Houjun Li. Multiconlitron: A General Piecewise Linear Classifier. IEEE Transactions on Neural Networks (TNN), 2011, 22(2): 276-289.
[25] 张晨光, 李玉鑑. 哈希图半监督学习方法及其在图像分割中的应用. 自动化学报, 2010, 36(11): 1529-1533.
[26] Yujian Li, Bo Liu. A Normalized Levenshtein Distance Metric. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2007, 29(6): 1091-1095.
[28] Yujian Li. A Clustering Algorithm Based on Maximal theta-distant Subtrees. Pattern Recognition, 2007, 40(5): 1425-1431.
[29] Yujian Li. Hidden Markov Models with States Depending on Observations. Pattern Recognition Letters, 2005, 26(7): 977-984.