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个人信息Personal Information
教授
博士生导师
硕士生导师
教师拼音名称：hezhaoshui
出生日期：1978-09-17
入职时间：2011-01-14
所在单位：自动化学院
性别：男
学位：工学博士学位
在职信息：在职
- [1] Ziliang Lyu, Yulei Bai, Zhaoshui He, ShengliXie, Shuangli Ye, Yanzhou Zhou, Phase reconstruction for depth-resolvedwavenumber-scanning interferometry under an environment with salt noise, Optical Engineering, 56(11):111703-1~111703-6,(2017), doi: 10.1117/1.OE.56.11.111703..
- [2] K. Xie, Z.S. He, A. Cichocki, Convergence Analysis of the FOCUSS Algorithm,IEEE Trans. on Neural Networks andLearning Systems, 26(3):601-613, March 2015..
- [3] Kan Xie, Zhaoshui He, Shengli Xie and Andrzej Cichocki, Rate of convergenceof the FOCUSS algorithm, IEEETransactions on Neural Networks and Learning Systems, 电子版下载网址：http://ieeexplore.ieee.org/document/742379.
- [4] Shengli Xie, Junjie Yang, Kan Xie, Yi Liu,Zhaoshui He,Low-Sparsity Unobservable Attacks Against Smart Grid: AttackExposure Analysis and a Data-Driven Attack Scheme, IEEE Access, http://dx.doi.org/10.1109/ACCESS.2017.2680463 (2017).
- [5] Z.S. He, S.L. Xie, R. Zdunek, G.X. Zhou andA. Cichocki, Symmetric Nonnegative Matrix Factorization: Algorithms andApplications to Probabilistic Clustering, IEEETrans Neural Networks, vol.22, no. 12, pp.2117-2131, December 2011..
- [6] Z.S. He, A. Cichocki , S.L. Xie and K. Choi.Detecting the Number of Clusters in n-Way Probabilistic Clustering. IEEE Transactions on Pattern Analysis andMachine Intelligence, vol. 32,no. 11, pp. 2006-2021, November, 2010..
- [7] Z.S. He, A. Cichocki, R. Zdunek, S.L. Xie. Improved FOCUSS method withconjugate gradient (CG) iterations, IEEETransactions on Signal Processing, 57(1):399-404, Jan. 2009..
- [8] Z.S. He, S.L. Xie, S.X. Ding, A.Cichocki. Convolutive Blind Source Separation inFrequency Domain Based on Sparse Representation, IEEE Transactions on Audio, Speech and Language Processing,15(5):1551-1563,July 2007..
- [9] G.X.Zhou, S.L. Xie, Z.Y. Yang, J.M. Yang, Z.S.He, Minimum-Volume Constrained Nonnegative Matrix Factorization: EnhancedAbility of Learning Parts, IEEETransactions on Neural Networks, 22(10):1626-1637, 2011..
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