[1] Wei Yang, Yang Liu, and Chunjing Xiao, Deep metric learning for accurate protein secondary structure prediction. Knowledge-Based Systems, 2022: p. 108356, doi:10.1016/j.knosys.2022. 108356. [SCI JCR 一区，影响因子8.038]（论文源代码: https://github.com/fengtuan/DML_SS） [2] Wei Yang, Zhentao Hu, Lin Zhou, Yong Jin, Protein secondary structure prediction using a lightweight convolutional network and label distribution aware margin loss. Knowledge-Based Systems, 2022. 237: p. 107771, doi: 10.1016/j.knosys.2021.107771. [SCI JCR 一区，影响因子8.038] （论文源代码: https://github.com/fengtuan/ShuffleNet_SS） [3] Wei Yang; Luhui Xu; Xiaopan Chen; Fengbin Zheng; Yang Liu ; Chi-Squared Distance Metric Learning for Histogram Data, Mathematical Problems in Engineering, 2015（论文源代码:https://sites.google.com/site/codeofcdml/） [4] Wei Yang, Kuanquan Wang, Wangmeng Zuo. Fast Neighborhood Component Analysis. Neurocomputing,2012,83,31-37（论文源代码: https://sites.google.com/site/cswmzuo/FNCA.rar?attredirects=0&d=1） [5] Wei Yang, Kuanquan Wang, Wangmeng Zuo. Neighborhood Component Feature Selection for High-Dimensional Data. Journal of Computers,2012,7(1),161-168 (MatLab已将该算法整合到其特征选择工具包, https://www.mathworks.com/help/stats/neighborhood-component-analysis.html)
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