教授
刘小兰
姓名：刘小兰
研究兴趣：优化算法与机器学习
通信地址：华南理工大学数学学院，广州，510641
E-mail: liuxl@scut.edu.cn
教育经历：
1996.9-2000.6 华南理工大学，应用数学，本科，理学学士学位
2000.9-2003.6 华南理工大学，应用数学，硕士，理学硕士学位
2007.9-2011.6 华南理工大学，计算机应用技术，博士，工学博士学位
优化算法与机器学习
发表论文
[1] Xie, Mengying*, Liu Xiaolan, Yang, Xiaowei*, Cai, Wenzeng. Multichannel Image Completion With Mixture Noise: Adaptive Sparse Low-Rank Tensor Subspace Meets Nonlocal Self-Similarity. IEEE Transactions on Cybernetics, 2022, 1-14.
[2] Xie, Mengying*, Liu, Xiaolan,Yang, Xiaowei*. A Nonlocal Self-Similarity-Based Weighted Tensor Low-Rank Decomposition for Multichannel Image Completion With Mixture Noise. IEEE Transactions on Neural Networks and Learning Systems, 2022, 1-15.
[3] Liu, Xiaolan, Pan, Gan, Xie, Mengying. Multi-view Subspace Clustering with Adaptive Locally Consistent Graph Regularization. Neural Computing & Applications, 2021, 33(22): 15397-15412.
[4] Mengying Xie, Zehui Ye, Gan Pan, Xiaolan Liu*. Incomplete Multi-view Subspace Clustering with Adaptive Instance-sample Mapping and Deep Feature Fusion. Applied Intelligence, 2021, 51: 5584-5597.
[5] 刘小兰;叶泽慧. 基于StarGAN和子空间学习的缺失多视图聚类.华南理工大学学报(自然科学版), 2020, 48(11): 87-98.
[6] Xie, Mengying, Liu, Xiaolan*, Pan, Gan. Centralized Joint Sparse Representation for Multi-view Subspace Clustering. Journal of Intelligent and Fuzzy Systems, 2020, 39(1): 1213-1226.
[7] Chen, Sentao*, Han, Le, Liu, Xiaolan, He, Zongyao,Yang, Xiaowei*. Subspace Distribution Adaptation Frameworks for Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(12): 5204-5218.
[8] 刘小兰，潘淦，易淼，李植鹏. 分布式低秩张量子空间聚类算法 [J]. 华南理工大学学报（自然科学版）, 2019, 第8期，77-83页.
[9] Zisen Fang, Xiaowei Yang, Le Han, Xiaolan Liu. A Sequentially Truncated Higher Order Singular Value Decomposition-based Algorithm for Tensor Completion. IEEE Transactions on Cybernetics, 2018, 49(5): 1956-1967.
[10] Zhaoming Kong, Le Han, Xiaolan Liu, Xiaowei Yang. A New 4D Nonlocal Transform-domain Filter for 3D Magnetic Resonance Images Denoising，IEEE Transactions on Medical Imaging, 37(4), 2018:941-954.
[11] X. L. Liu, M. Yi, L. Han and X. Deng. A Subspace Clustering Algorithm based on Simultaneously Sparse and Low-rank Representation. Journal of Intelligent and Fuzzy Systems, 2017, 33: 621-633.
[12] Le Han and Xiaolan Liu. Convex Relaxation Algorithm for a Structured Simultaneous Low-rank and Sparse Recovery Problem, Journal of the Operations Research Society of China, 2015, 3(3), pp: 363-379.
[13] X. L. Liu, T. J. Guo, L. F. He, X. Y. Yang. A Low-rank Approximation Based Transductive Support Tensor Machine for S
emi-supervised Classification. IEEE Transactions on Image Processing, 2015, 24(6), pp: 1825-1938.
[14]X. L. Liu, S. H. Pan, Z. F. Hao and Z. Y. Lin. Graph-based Semi-supervised Learning by Mixed Label Propagation with a
Soft Constraint Information Sciences, 1 September 2014, 277, pp: 327-337.
[15]S. J. Bi, X. L. Liu*, S. H. Pan. Exact Penalty Decomposition Method for Zero-Norm Minimization Based on MPEC
Formulation. SIAM Journal on Scientific Computing, 2014, 36(4), pp: A1451-A1477.
[16]X. L. Liu, Z. F. Hao, S. H. Pan, X. W. Yang. Graph Construction Based on Nonnegative Sparse Representation for Semi-
supervised Learning. Journal of Information & Computational Science，2014, 11(8), pp: 2683-2693.
[17]Y. K. Wang, Y. Q. Zhao, L. T. Zhang, J. M. Liang, M. X. Zeng, X. L. Liu*. Graph Construction Based on Re-weighted S
parse Representation for Semi-supervised Learning. Journal of Information & Computational Science，2013, 10(2), pp: 375-383.
[18]X. L. Liu, S. H. Liu, Z. F., M. Holger. Exact Algorithm and Heuristic for the Closest String Problem. Computers and Operations R
esearch, 2011, 38(11), pp: 1513-1520.
主持的项目
1、广东省自然科学基金面上项目，基于深度学习的不完整多视图子空间聚类算法研究，2020A1515010699 ( 2019.10-2022.10)
2、计算机软件新技术国家重点实验室（南京大学）， 基于直推和张量的子空间聚类算法研究，KFKT2017B06 （2017.6 -2019.6）
3、国家自然科学青年基金，基于稀疏低秩表示的子空间聚类算法研究，61502175 （2016.01—2018.12）
4、广东省自然科学基金-博士启动，基于稀疏低秩表示的子空间聚类，2015A030310298（2015.08—2018.08）
5、中央高校基本科研业务费面上项目，基于向量和张量的子空间聚类聚类算法研究，2015ZM139（2015.07—2017.07）
6、中央高校基本科研业务费面上项目，基于低秩的大规模子空间聚类及其在图像处理的应用，2013ZM0094（2013.01—2014.12）
出版教材
教材《数据科学与数学建模》，华中科技大学出版社，郝志峰，李杨，刘小兰，廖芹， 2019年1月
教材《数学实验典型案例》，高等教育出版社，黄平，刘小兰，温旭辉 主编，2015年2月
liuxl@scut.edu.cn
华南理工大学4235