陆玉武

职称：博士,硕导

yh533388银河

Email: luyuwu2008@163.com

个人简历

陆玉武，博士，IEEE会员，中国人工智能学会会员，博士毕业于哈尔滨工业大学，清华大学博士后，于2015-2017年在香港理工大学从事助理研究员。已发表SCI论文30余篇，其中以第一作者或通讯作者发表IEEE Transactions论文17篇，包括IEEE TIP、IEEE TCYB、IEEE TMM、IEEE TCSVT等期刊。主持国家项目两项，广东省项目三项。为国际模式识别顶级期刊《Pattern Recognition》副编辑，同时为IEEE TIP、IEEE TCYB、IEEE TNNLS、IEEE TMM、IEEE TSMC、IEEE TCSVT、Pattern Recognition、Neural Networks、Information Fusion、MM、ICME、ECCV等多个期刊和会议审稿人。

研究领域

图像分类，人脸识别，迁移学习，领域自适应，深度学习，低秩表达与非负矩阵分解，主动学习等。近年研究方向包括：

1.面向图像特征提取与分类的领域自适应研究；

2.面向图像语义分割的领域自适应研究；

3.多模态图像表达与识别研究。

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论文

1.   Y. Lu, H. Huang, B. Zeng, et al. Multi-Source and Multi-Target Domain Adaptation Based on Dynamic Generator With Attention. IEEE Transactions on Multimedia, DOI: 10.1109/TMM.2024.3358062. (IF: 8.182, 中科院大类一区，CCF B，Top)

2.   Y. Lu, W. Wong, C. Yuan, et al. Low-Rank Correlation Learning for Unsupervised Domain Adaptation. IEEE Transactions on Multimedia, DOI: 10.1109/TMM.2023.3321430. (IF: 8.182, 中科院大类一区，CCF B，Top)

3.   Y. Lu, W. Wong, B. Zeng, et al. Guided Discrimination and Correlation Subspace Learning for Domain Adaptation. IEEE Transactions on Image Processing, vol. 32, pp. 2017-2032, 2023. (IF: 11.041, 中科院大类一区，CCF A，Top)

4.   Y. Lu, X. Luo, J. Wen, et al. Cross-domain Structure Learning for Visual Data Recognition. Pattern Recognition, vol. 134, pp. 109127, 2023. (IF: 8.0, 中科院大类一区，CCF B，Top)

5.   Y. Lu, W. Wang, B. Zeng, et al. Canonical Correlation Analysis With Low-Rank Learning for Image Representation. IEEE Transactions on Image Processing, vol. 31, pp. 7048-7062, 2022. (IF: 11.041, 中科院大类一区，CCF A，Top)

6.    Y. Lu, Q. Zhu, B. Zhang, et al. Weighted Correlation Embedding Learning for Domain Adaptation. IEEE Transactions on Image Processing, vol. 31, pp. 5303-5316, 2022. (IF: 11.041, 中科院大类一区，CCF A，Top)

7.   Y. Lu, D. Li, W. Wang, et al. Discriminative Invariant Alignment for Unsupervised Domain Adaptation. IEEE Transactions on Multimedia, vol. 24, pp. 1871-1882, 2022. (IF: 8.182, 中科院大类一区，CCF B，Top)

8.   Y. Lu, W. Wang, C, Yuan, et al. Manifold Discriminative Transfer Learning for Image Classification. IEEE Transactions on Multimedia, vol. 23, pp. 2056-2070, 2021. (IF: 8.182, 中科院大类一区，CCF B，Top)

9.    Y. Lu, W. Wong, Z. Lai, et al. Robust Flexible Preserving Embedding. IEEE Transactions on Cybernetics, vol. 50, no. 10, pp. 4495-4507, Oct. 2020. (IF: 19.118, 中科院大类一区，CCF B，Top)

10.  Y. Lu, Z. Lai, W. Wong, et al. Low-rank Discriminative Regression Learning for Image Classification. Neural Networks, vol. 125, pp. 245-257, 2020. (IF: 7.8, 中科院大类一区，CCF B，Top)

11.   Y. Lu, Z. Lai, X. 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. (IF: 19.118, 中科院大类一区，CCF B，Top)

12.   Y. Lu, C. Yuan, X. 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. (IF: 5.859, 中科院大类一区，CCF B，Top)

13.   Y. Lu, C. Yuan, Z. 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. (IF: 5.859, 中科院大类一区，CCF B，Top)

14.   Y. Lu, C. Yuan, W. 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. (IF: 11.041, 中科院大类一区，CCF A，Top)

15.   Y. Lu, Z. Lai, X. 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. (IF: 5.859, 中科院大类一区，CCF B，Top)

16.   Y. Lu, Z. Lai, Y. Xu, et al. Nonnegative Discriminant Matrix Factorization. IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 7, pp. 1392-1405, Jul. 2017. (IF: 5.859, 中科院大类一区，CCF B，Top)

17.   Y. Lu, C. Yuan, Z. Lai, et al. Nuclear Norm-Based 2DLPP for Image Classification, IEEE Transactions on Multimedia, vol. 19, no. 11, pp. 2391-2403, Nov. 2017. (IF: 8.182, 中科院大类一区，CCF B，Top)

18.   Y. Lu, Z. Lai, Y. Xu, et al. Low-Rank Preserving Projections. IEEE Transactions on Cybernetics, vol. 46, no. 8, pp. 1900-1913, Aug. 2016. (IF: 19.118, 中科院大类一区，CCF B，Top)

19.   Y. Lu, Z. Lai, Y. Xu, et al. Projective Robust Nonnegative Factorization. Information Sciences, vol. 364-365, pp. 16-32, 2016. (IF: 8.1, 中科院大类一区，CCF B，Top)

20.   Y. Lu, Z. Lai, Z. Fan, et al. Manifold Discriminant Regression Learning for Image Classification. Neurocomputing, vol. 166, pp. 475-486, 2015. (IF: 6.0, 中科院大类二区，CCF B，Top)

代表性项目

1.  国家自然科学基金面上项目：62176162，域自适应鲁棒相关图像特征提取， 2022/01-2025/12,53万，在研，主持

2. 广东省自然科学基金区域联合项目：2022A1515140099，多源域图像特征提取研究，2022/10-2025/09，30万元，在研，主持

3. 广东省自然科学基金面上项目：2023A1515012875，面向小样本图像特征提取的鲁棒异构迁移学习研究，2023/01-2025/12，10万元，在研，主持

专利

1.陆玉武，黄浩宇。多源域多目标域自适应方法、装置与电子设备。专 利 号：ZL 2023 1 0854431.3。

2.陆玉武，林德伟。一种基于伪标签筛选的异构域自适应方法、装置及设备。专利号：ZL 2022 1 0150906.6。

3.陆玉武，罗幸萍，赖志辉。用于进行信息分类的方法、装置、终端设备及存储介质。专 利 号：ZL 2021 1 0683833.2。