盧桂馥,，教授,，碩士生導(dǎo)師，上海理工大學(xué)兼職博士生導(dǎo)師,，本科畢業(yè)于合肥工業(yè)大學(xué),，碩士畢業(yè)于杭州電子科技大學(xué),，博士畢業(yè)于南京理工大學(xué),。主要研究方向?yàn)槟Ｊ阶R(shí)別,、機(jī)器學(xué)習(xí)與計(jì)算機(jī)視覺(jué)。

近幾年主持國(guó)家自然科學(xué)基金面上項(xiàng)目2項(xiàng),、安徽省自然科學(xué)基金面上項(xiàng)目1項(xiàng),、安徽省教育廳重大項(xiàng)目1項(xiàng)；以第一作者或通訊作者在《IEEE Trans. Image Processing》,、《Pattern Recognition》,、《Neural Networks》等主要SCI期刊發(fā)表論文40多篇,。

聯(lián)系郵箱：[email protected],。

近幾年指導(dǎo)碩士研究生所發(fā)表的SCI論文：

1. Yangfan Du, Gui-Fu Lu*, Guangyan Ji, Robust Least Squares Regression for Subspace Clustering: A Multi-View Clustering Perspective, IEEE Trans. on Image Processing, (中科院1區(qū)，SCI, EI).

2. YaoZu Kan, Gui-Fu Lu*, Liang Yao, Bing Cai, JinBiao Zhao,，Multi-view Clustering using a flexible and optimal multi-graph fusion method, Engineering Applications of Artificial Intelligence, 128 (2) (2024) (107452), 1-12 (中科院2區(qū),，SCI, EI).

3. Bing Cai, Gui-Fu Lu*, Jiashan Wan, Yangfan Du, Auto-weighted multi-view clustering with the use of an augmented view, Signal Processing, 215(2) (109286) (2024) 1-12(中科院2區(qū)，SCI, EI)

4. Rong Tang, Gui-Fu Lu*, Multi-view subspace similarity learning based on t-SVD,，Multimedia Tools and Applications, 82 (2023) 45605–45620 (SCI, EI).

5. Guangyan Ji, Gui-Fu Lu*, A late fusion scheme for multi-graph regularized NMF, Machine Vision and Applications, 34(6) (2023) 1-13 (SCI, EI)

6. Guangyan Ji, Gui-Fu Lu*,，Consensus Latent Incomplete Multi-View Clustering with Low-rank Tensor Constraint, International Journal of Machine Learning and Cybernetics, 14(11) (2023) 3813–3825 (SCI, EI)

7. Yangfan Du, Gui-Fu Lu*, Guangyan Ji, Jinhua Liu, Robust Subspace Clustering via Multi Affinity Matrices Fusion, Knowledge-Based System, 278 (10) (2023) (110874), 1-14 (中科院1區(qū)，SCI, EI).

8. Liang Yao, Gui-Fu Lu*, Multi-view clustering indicator learning with scaled similarity, Pattern Analysis and Applications, 26(3)(2023),1395–1406 (SCI, EI).

9. Liang Yao, Gui-Fu Lu*, Jinbiao Zhao, Bing Cai, Multi-view clustering based on a multimetric matrix fusion method, Expert Systems with Applications, 228 (10) (2023) (120272), 1-12 (中科院1區(qū),，SCI, EI).

10. Guangyan Ji, Gui-Fu Lu*, Bing Cai, Yangfan Du, Unbalanced incomplete multi-view clustering based on low-rank tensor graph learning, Expert Systems with Applications, 225 (9) (2023) (120055), 1-13(中科院1區(qū),，SCI, EI).

11. Guangyan Ji, Gui-Fu Lu*, Bing Cai, Scalable incomplete multi-view clustering via tensor Schatten p-norm and tensorized bipartite graph, Engineering Applications of Artificial Intelligence, 123, part B (8) (2023) (106379), 1-10(中科院2區(qū)，SCI, EI).

12. Yangfan Du, Gui-Fu Lu*, Guangyan Ji, Robust and optimal neighborhood graph learning for multi-view clustering, Information Sciences, 631(6) (2023), 429-448 (中科院1區(qū),，SCI, EI).

13. Rong Tang, Gui-Fu Lu*, Consensus similarity learning based on tensor nuclear norm, Machine Vision and Applications, 34(1) (2023)(5)1-14 (SCI, EI).

14. Jinbiao Zhao, Gui-Fu Lu*,，Clean affinity matrix learning with rank equality constraint for multi-view subspace clustering，Pattern Recognition,，134(2) (2023) (109118)1-13 (中科院1區(qū),，SCI，EI).

15. Bing Cai, Gui-Fu Lu*, Liang Yao, Hua Li, High-order manifold regularized multi-view subspace clustering with robust affinity matrices and weighted TNN, Pattern Recognition, 134(2) (2023)(109607)1-12 (中科院1區(qū),，SCI,，EI)

16. Jinbiao Zhao, Gui-Fu Lu*, Clean and robust affinity matrix learning for multi-view clustering, Applied Intelligence, 52(14), (2022) 15899-15915 (中科院2區(qū)，SCI, EI).

17. Guangyan Ji, Gui-Fu Lu*, One-step incomplete multiview clustering with low-rank tensor graph learning, Information Sciences, 615(11), (2022), 209-225 (中科院1區(qū),，SCI, EI).

18. Bing Cai, Gui-Fu Lu*, Tensor subspace clustering using consensus tensor low-rank representation, Information Sciences, 609(9), (2022) 46–59(中科院1區(qū),，SCI, EI).

19. Liang Yao, Gui-Fu Lu*, Double structure scaled simplex representation for multi-view subspace clustering,，Neural Networks, 151(7), (2022) 168–177(中科院1區(qū)，SCI, EI).