研究方向：

信号及高光谱图像处理、机器学习、深度学习

教育经历：

2007.09-2011.07　西安交通大学　数学与应用数学/金融学　本科/学士

2011.09-2013.09　法国特鲁瓦技术大学　系统优化与可靠性　研究生/硕士

2013.10-2016.09　法国特鲁瓦技术大学　系统优化与可靠性　研究生/博士

代表性论文与著作：

[1] A.J.X. GUO, F. ZHU. Spectral-spatial feature extraction and classification by ANN supervised with center loss in hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing, Accepted.

[2] F. ZHU, A. Halimi, P. Honeine, B. Chen, N. Zheng. Correntropy maximization via ADMM: application to robust hyperspectral unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 9. pp. 4977-4955, 2017.

[3] F. ZHU, P. Honeine. Bi-objective nonnegative matrix factorization Linear Versus Kernel-Based Models. IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no.7, pp. 4012-4022, 2016.

[4] F. ZHU, P. Honeine. Online kernel nonnegative matrix factorization. Signal Processing, vol. 131, pp. 143-153, 2017.

[5] F. ZHU, A. Halimi, P. Honeine, B. Chen, N. Zheng. ADMM for Maximum Correntropy Criterion. 2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, 24--29 Jul., 2016.

[6] F. ZHU, P. Honeine. Online nonnegative matrix factorization based on kernel machines. 23th European Conference on Signal Processing (EUSIPCO). Nice, France, 31 Aug.--4 Sept.,2015.

[7] F. ZHU, P. Honeine. Pareto front of bi-objective kernel-based nonnegative matrix factorization. 23th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). Bruges, Belgium, 22--24 Apr. 2015.

[8] F. ZHU, P. Honeine, K. Maya. Kernel non-negative matrix factorization without the pre-image problem. 24th IEEE workshop on Machine Learning for Signal Processing (MLSP). Reims, France, 21--24 Sept. 2014.