专业:控制科学与工程

导师介绍
姓      名 周郭许
性     别
职称/职务 教授
所属专业 控制理论与控制工程
研究领域 信号与智能信息处理,张量分析与多重线性代数,大数据分析,模式识别与机器学习
联系电话
电子邮箱 guoxu.zhou@qq.com
个人简介

2000年毕业于华中师范大学数学系,获理学学士学位。2004年加入华南理工大学理学院,攻读硕士学位。2006年加入华南理工大学电子与信息学院攻读博士学位,信号与智能信息处理专业。毕业论文分别获得广东省优秀博士学位论文奖和全国优秀博士学位论文提名。201010-12月在日本理化学研究所脑科学研究院(RIKEN Brain Science Institute)高级脑信号处理实验室做访问学者,次年3月加入该实验室,任职研究学者(Research Scientist)。201520151论文获得中日留学同学会第15届优秀论文赏华为技术奖”。现为广东工业大学“百人计划”特聘教授、日本理化学研究所脑科学研究院高级脑信号处理实验室客座研究员。

代表性论著

1.      Guoxu Zhou, Qibin Zhao, Yu Zhang, Tulay Adalı, Shengli Xie, and Andrzej Cichocki, "LinkedComponent Analysis from Matrices to High Order Tensors: Applications toBiomedical Data", Proceedings of the IEEE. Accepted. DOI: 10.1109/JPROC.2015.2474704.2015.

2.      Guoxu Zhou, Andrzej Cichocki, Yu Zhang, and DaniloMandic. "Group Component Analysis from Multi-block Data: Common andIndividual Feature Extraction, IEEE Transactions on NeuralNetworks and Learning Systems, Accepted. DOI: 10.1109/TNNLS.2015.2487364.2015.

3.      Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, andShengli Xie, "Efficient Nonnegative Tucker Decompositions: Algorithms andUniqueness," IEEE Transactions on Image Processing, vol.24,no.12, pp.4990-5003, Dec. 2015.

4.      G. Zhou, A. Cichocki, Q. Zhao, and S. Xie,Nonnegative Matrix and Tensor Factorizations: An algorithmic perspective, IEEESignal Processing Magazine, vol.31, no.3, pp.54--65, May 2014

5.      G. Zhou, A. Cichocki, and S. Xie, Accelerated canonical polyadicdecomposition by using mode reduction, IEEE Transactions on NeuralNetworks and Learning Systems, vol.24, no.12, pp.2051--2062, Dec. 2013,http://arxiv.org/abs/1211.3500.

6.      G. Zhou, A. Cichocki, and S. Xie, Fast nonnegative matrix/tensorfactorization based on low-rank approximation, IEEE Transactions onSignal Processing, vol. 60, no. 6, pp. 2928--2940, June 2012.

7.      G. Zhou and A. Cichocki, Canonical polyadic decompositionbased on a single mode blind source separation, IEEE Signal ProcessingLetters, vol. 19, no. 8, pp. 523--526, Aug. 2012.

8.      Fengyu Cong#, Guoxu Zhou#, Piia Astikainen,Qibin Zhao, Qiang Wu, Asoke K Nandi, Jari K Hietanen, Tapani Ristaniemi,Andrzej Cichocki, "Low-Rank Approximation Based Non-Negative Multi-WayArray Decomposition On Event-Related Potentials," International Journal ofNeural Systems, vol. 24, no. 8, 2014.

9.      Q. Zhao, G. Zhou, T. Adali, L. Zhang and A.Cichocki. Kernelization of Tensor-based Models for Multimodal Data Analysis.IEEESignal Processing Magazine, vol.30, no.4, pp.137--148, July 2013.

10.  Y. Zhang, G. Zhou, J. Jin, M. Wang, X. Wang,and A. Cichocki, L1-regularized multiway canonical correlation analysis forSSVEP-based BCI, IEEE Transactions on Neural Systems and RehabilitationEngineering, vol.21, no.6, pp. 887--896, 2013.