卢桂馥，教授，硕士生导师，上海理工大学兼职博士生导师，本科毕业于合肥工业大学，硕士毕业于杭州电子科技大学，博士毕业于南京理工大学。主要研究方向为模式识别、机器学习与计算机视觉。
近几年主持国家自然科学基金面上项目2项、安徽省自然科学基金面上项目1项、安徽省教育厅重大项目1项；以第一作者或通讯作者在《IEEE Trans. Image Processing》、《Pattern Recognition》、《Neural Networks》等主要SCI期刊发表论文40多篇。
联系邮箱：lu-guifu@ahpu.edu.cn。
近几年指导硕士研究生所发表的SCI论文：
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区，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区，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区，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区，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区，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区，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区，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区，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区，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区，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区，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区，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区，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区，SCI, EI).