简介：

陆玉武，助理教授，硕士生导师。博士毕业于哈尔滨工业大学，2018年引进为深圳海外高层次孔雀人才。主要研究方向模式识别，人脸识别，图像分类，特征提取及迁移学习，发表科研论文二十余篇，其中在IEEE Trans.国际权威期刊发表论文十余篇。

联系方式：

邮箱：luyuwu2008@163.com

办公室：计算机与软件科学930

论文：

• Yuwu Lu, Zhihui Lai, Yong Xu, et. al. Low-Rank Preserving Projections. IEEE Transactions on Cybernetics, vol. 46, no. 8, pp. 1900-1913, Aug. 2016.

• Yuwu Lu, Wai Keung Wong, Zhihui Lai, et. al. Robust Flexible Preserving Embedding. IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2019.2953922.

• Yuwu Lu, Zhihui Lai, Xuelong Li, et. al. Low-Rank 2-D Neighborhood Preserving Projection for Enhanced Robust Image Representation. IEEE Transactions on Cybernetics, vol. 49, no. 5, pp. 1859-1872, May 2019.

• Yuwu Lu, Chun Yuan, Wenwu Zhu, et. al. Structurally Incoherent Low-Rank Nonnegative Matrix Factorization for Image Classification. IEEE Transactions on Image Processing, vol. 27, no. 11, pp. 5248-5260, Nov. 2018.

• Yuwu Lu, Chun Yuan, Xuelong Li, et. al. Structurally Incoherent Low-Rank 2DLPP for Image Classification. IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 6, pp. 1701-1714, Jun. 2019.

• Yuwu Lu, Chun Yuan, Zhihui Lai,et. al. Horizontal and Vertical Nuclear Norm-Based 2DLDA for Image Representation. IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 4, pp. 941-955, Apr. 2019.

• Yuwu Lu, Chun Yuan, Zhihui Lai, et. al. Nuclear Norm-Based 2DLPP for Image Classification, IEEE Transactions on Multimedia, vol. 19, no.11, pp. 2391-2403, Nov. 20, 2017.

• Yuwu Lu, Zhihui Lai, Yong Xu, et. al. Nonnegative Discriminant Matrix Factorization, IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 7, pp. 1395-1405, Jul. 2017.

• Yuwu Lu,Zhihui Lai, Xuelong Li, et. al. Learning Parts-Based and Global Representation for Image Classification, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 12, pp. 3345-3360, Dec. 2018.

• Yuwu Lu, Wenjing Wang, Chun Yuan, et. al. Manifold Transfer Learning Via Discriminant Regression Analysis, IEEE Transactions on Multimedia, DOI: 10.1109/TMM.2020.3007340.