【个人简介】
周楠，男，讲师，中共党员。2017年毕业于电子科技大学机器人中心，师从程洪教授，获得博士学位。读博期间，于2014获得国家留学基金委奖学金资助，在加拿大阿尔伯塔大（University of Alberta）留学一年，师从IEEE fellow Witold Pedrycz教授，研究机器学习相关算法；2016年在西安交通大学人工智能与机器人研究所进行交流学习，师从陈霸东教授，研究有关鲁棒特征学习算法。现在香港理工大学，智能健康中心从事有关人体疾病推测的相关研究工作。如在今已发SCI、EI等检索的各类论文共16篇，其中以第一作者发表JCR二区文章4篇，一区文章1篇。承担国家级课题1项，横向课题1项。
【研究方向】
1.机器学习，特征学习算法及应用
2.智能车辆轨迹跟踪控制
3.稀疏建模算法及应用
4.鲁棒建模算法及应用
【在研项目】
1.基于熵准则的非监督特征学习方法研究，国家自然科学基金青年基金项目，项目负责人
2.基于RGB-D信息的机械加工产品粗糙度检测算法研究，横向项目，项目负责人
【发表论文】
1. Nan Zhou, Badong Chen, Yuanhua Du, Tao Jiang, Yangyang Xu, Maximum Correntropy Criterion based Robust Semi-supervised Concept Factorization for Image Representation, IEEE Transactions on Neural Networks and Learning Systems,2020.(SCI，中科院JCR一区)
2. Nan Zhou, Hong Cheng, Jing Qin, Yuanhua Du, Badong Chen, Robust High-Order Manifold Constrained Sparse Principal Component Analysis for Image Representation, IEEE Transactions on Circuits and Systems for Video Technology, 2018. (SCI，中科院JCR二区)
3. Nan Zhou, Yangyang Xu, Hong Cheng, Zejian Yuan, Badong Chen, Maximum Correntropy Criterion Based Sparse Subspace Learning for Unsupervised Feature Selection, IEEE Transactions on Circuits and Systems for Video Technology, 2017. (SCI，中科院JCR二区)
4. Nan Zhou, Yangyang Xu, Hong Cheng, Jun Fang, Witold Pedrycz, Global and Local Structure Preserving Sparse Subspace Learning: An Iterative Approach to Unsupervised Feature Selection, Pattern Recognition, 2016. (SCI，中科院JCR二区)
5. Nan Zhou, Hong Cheng, Huaping Liu, Yong Zhang, Witold Pedrycz, Discriminative Sparse Subspace Learning and Its Application to Unsupervised Feature Selection, ISA Transactions, 2016. (SCI，中科院JCR二区)
6. Nan Zhou, Hong Cheng, Yali Zhen, Liangtian He, Witold Pedrycz, Unsupervised Feature Selection by Nonnegative Sparsity Adaptive Subspace Learning, IEEE, ICWAPR, 2016. (EI)
7. Liangtian He, Yilun Wang, Chengqiang Bao, Nan Zhou, Wavelet Frame-based Truncated L1-regularized Image Deblurring. IEEE, WCSP, 2016. (EI).
8. Pengfei Wang, Yali Zheng, Hong Cheng, Nan Zhou, Yuanyan Tang, Multi-Subgraph Matching for Logo Localization Using Genetic Algorithm, IEEE, ICWAPR, 2016. (EI).
9. Hongchen Chen, Zongze Wu, Shaoyi Du, Nan Zhou, Jing Sun, Robust Scale Iterative Closest Point Algorithm Based on Correntropy for Point Set Registration, IEEE, AUCC, 2016. (EI)
10. Yuanhua Du, Shouming Zhong, Jia Xu, Nan Zhou, Delay-dependent exponential passivity of uncertain cellular neural networks with discrete and distributed time-varying delays, ISA Transactions, 2015. (SCI，JCR分区二区)
【联系方式】
电子邮件：nzhouuestc@126.com
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