专业:控制科学与工程

导师介绍
姓      名 赵启斌
性     别
职称/职务 教授
所属专业 控制科学与工程
研究领域

机器学习,张量分析,贝叶斯统计,深度学习,计算机视觉,脑信号处理

联系电话
电子邮箱 1253607695@qq.com
个人简介

2009年毕业于上海交通大学计算机科学与工程系,获工学博士学位。2009—2016年在日本理化学研究所脑科学研究院,高级脑信号处理实验室担任研究学者。曾多次获得国际学术奖励,2010年获国际会议ICONIP最佳论文奖,2011年获国际脑-机接口研究提名奖,2013年获中国留日同学会颁发的“日中协会奖”,2014年获理化学研究所 “第五届研究奖”。现担任广东工业大学“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,日本埼玉工业大学客座教授,IEEE高级会员。近年来,在国际学术期刊和国际会议上发表论文70余篇。

代表性

1. Q. Zhao, G. Zhou, L. Zhang, A. Cichocki, and S. Amari.Bayesian robust tensor factorization for incomplete data. IEEE Transactions onNeural Networks and Learning Systems (TNNLS), 27(4):736-748, 2016.

2. G. Zhou, Q. Zhao,Y. Zhang, T. Adali, S. Xie, and A. Cichocki. Linked component analysis frommatrices to high order tensors: Applications to biomedical data.  Proceedings of the IEEE (PIEEE),104(2):310-331, 2016

3. T. Yokota, Q. Zhao, C. Li, and A. Cichocki. SmoothPARAFAC decomposition for tensor completion. IEEE Transactions on Signal Processing (TSP), 64(20):5423-5436, 2016.

4. Y. Zhang, G. Zhou, J.Jin, Q. Zhao, X. Wang, and A. Cichocki. Sparse Bayesian classificationof EEG for brain-computer interface. IEEE Transactions on Neural Networksand Learning Systems (TNNLS), 27(11):2256-2267, 2016.

5. Q. Zhao, L. Zhang, and A. Cichocki. Bayesian CPfactorization of incomplete tensors with automatic rankdetermination. IEEETransactions on Pattern Analysis and Machine Intelligence (TPAMI),37(9):1751-1763,2015.

6. G. Zhou, A. Cichocki, Q.Zhao, and S. Xie. Efficient nonnegative tucker decompositions: Algorithmsand uniqueness. IEEE Transaction on Image Processing (TIP),24(12):4990–5003, 2015.

7. A. Cichocki, D. Mandic,C. Caiafa, A. Phan, G. Zhou, Q. Zhao,and L. De Lathauwer. Tensor decompositions for signal processing applications:From two-way to multiway component analysis.IEEE Signal Processing Magazine (SPM),32(2):145-163, 2015.

8. G. Zhou, A. Cichocki, Q. Zhao, and S. Xie. Nonnegative matrix and tensor factorizations:An algorithmic perspective. IEEE SignalProcessing Magazine (SPM),31(3):54-65, 2014.

9.  Q. Zhao, C.F. Caiafa, D.P. Mandic, A. Cichocki, et al.Higher-order partial least squares (HOPLS): A generalizedmulti-linear regression method. IEEE Transactions on Pattern Analysis and MachineIntelligence (TPAMI), 35(7):1660-673, 2013

10. Q. Zhao, G. Zhou, T. Adali, L. Zhang, and A. Cichocki.Kernerlization of tensor-based models for multiway dataanalysis. IEEESignal Processing Magazine (SPM),30(4):137-48,2013.

会议论文:

11. M. Hou, Q. Zhao, B. Chaib-draa, and A.Cichocki. Common and discriminative subspacekernel-basedmultiblock tensor partial least squares regression. In Proceedings of the 30thAAAI Conference on Artificial Intelligence (AAAI), 2016.

12. C. Li, Q. Zhao, J. Li, A. Cichocki, andL. Guo. Multi-tensor completion with commonstructures.InProceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2015.

13. Q. Zhao, L. Zhang, and A.Cichocki. A tensor-variate Gaussian process for classificationofmultidimensional structured data. In Proceedings of the Twenty- Seventh AAAI Conferenceon Artificial Intelligence (AAAI), 2013.

14. Q. Zhao, C. F Caiafa, D. PMandic, A. Cichocki, et al. Multilinear subspace regression:Anorthogonal tensor decomposition approach. In Advances in NeuralInformation Processing Systems 24 (NIPS), pp.1269-277, 2011.