Xiaolan Liu
time： 2025-11-27

Xiaolan Liu


Position: Professor
Email: liuxl@scut.edu.cn

Research Interests

  • Optimization Algorithms and Machine Learning

  • Multi-View Clustering and Its Applications

Education and Work Experience

Education Experience:

  • 2007/09-2011/06: South China University of Technology, Engineering in Computer Application Technology (Ph.D.)

  • 2000/09-2003/06: South China University of Technology, Applied Mathematics (M.S.)

  • 1996/09-2000/06: South China University of Technology, Applied Mathematics (B.S.)

Work Experience:

  • 2021/09-Present: South China University of Technology, School of Mathematics, Professor / M.S. Supervisor

  • 2015/09-2021/08: South China University of Technology, School of Mathematics,  Associate Professor / M.S. Supervisor

  • 2003/07-2015/08: South China University of Technology, School of Mathematics, Teaching Assistant and Lecturer

Research Achievement

  • Xiaolan Liu, Wenyuan Wu, Mengying Xie*. Adaptive Weighted Noise Constraint-based Low-rank Representation Learning for Robust Multi-view Subspace Clustering. Applied Intelligence. 2025, 55: 816.

  • Mengying Xie, Pei Huang, Xiaolan Liu. Incomplete Multi-view Clustering based on Enhanced View-feature Learning and Balanced Consensus Principle. Applied Intelligence. 2025, 55: 905.

  • 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, 2024, 35(1): 73-87.

  • Mengying Xie, Xiaolan Liu, Xiaowei Yang, and Wenzeng Cai. Multichannel Image Completion With Mixture Noise_ Adaptive Sparse Low-Rank Tensor Subspace Meets Nonlocal Self-Similarity, IEEE Transactions on Cybernetics, 2023, 53(12): 7521-7534.

  • Liu Xiaolan，Shi Zongyu，Ye Zehui，Liang Yongzhou. Anchor Graph-Based Low-Rank Incomplete Multi-View Subspace Clustering. Journal of South China University of Technology (Natural Science Edition), 2022, 50(2): 60-70.

  • 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.

  • Liu, Xiaolan, Pan, Gan, Xie, Mengying. Multi-view Subspace Clustering with Adaptive Locally Consistent Graph Regularization. Neural Computing & Applications, 2021, 33(22): 15397-15412.

  • 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.

  • Liu Xiaolan, Ye Zehui. Missing Multi-view Clustering Based on StarGAN and Subspace Learning. Journal of South China University of Technology (Natural Science Edition), 2020, 48(11): 87-98.

  • 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.

  • 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. 

  • Liu, Xiaolan, Pan Gan, Yi miao, Li Zhipeng. Distributed Low-Rank Tensor Subspace Clustering Algorithm. Journal of South China University of Technology (Natural Science Edition), 2019, 8:77-83.

  • 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.

  • 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.

  • 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.

  • 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.

  • X. L. Liu, T. J. Guo, L. F. He, X. Y. Yang. A Low-rank Approximation Based Transductive Support Tensor Machine for Semi-supervised Classification. IEEE Transactions on Image Processing, 2015, 24(6), pp: 1825-1938.

  • 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.

  • 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.

  • X. L. Liu, S. H. Liu, Z. F., M. Holger. Exact Algorithm and Heuristic for the Closest String Problem. Computers and Operations Research, 2011, 38(11), pp: 1513-1520

Others（Awards、Research Grants…etc）

  • 2019/10-2022/09 Guangdong Provincial Natural Science Foundation General Project, Research on Incomplete Multi-view Subspace Clustering Algorithm Based on Deep Learning.

  • 2017/06-2019/05 State Key Laboratory for Novel Software Technology (Nanjing University), Research on Transductive and Tensor-Based Subspace Clustering Algorithm.

  • 2016/01-2018/12 National Natural Science Foundation of China (NSFC) Young Scientists Fund, Research on Subspace Clustering Algorithm Based on Sparse and Low-Rank Representation.

  • 2015/08-2018/07 Guangdong Provincial Natural Science Foundation - Doctoral Startup Project, Subspace Clustering Based on Sparse and Low-Rank Representation.

  • 2016/07-2017/06 Central University Basic Research Fund General Project, Research on Subspace Clustering Algorithm Based on Vector and Tensor.

  • 2013/01-2013/12 Central University Basic Research Fund General Project, Large-Scale Subspace Clustering Based on Low-Rank and Its Application in Image Processing.