个人简历

个人简介
甘敏，男，博士，教授，博导。2010年获中南大学控制科学与工程专业博士学位。2010年6月至2016年10月在合肥工业大学电气与自动化工程学院工作，2016年11月至今在福州大学数学与计算机科学学院工作。2011年7月至9月在香港城市大学系统工程与工程管理学院做研究助理工作，2013年4月至12月在澳门大学科技学院做博士后工作，2015年7月至2016年5月在美国达科他州大学做博士后工作。
可招收计算机科学与技术专业博士生，计算机软件与理论、应用数学、运筹学与控制论、计算机应用，软件工程等方向的学术和专业型硕士研究生。目前我们在做计算机视觉中的超分辨率，图像处理的去模糊，机器学习中的稀疏主成分分析、低秩矩阵分解等问题。

研究领域

机器学习中的优化方法、计算机视觉、系统辨识、图像处理。""

近期论文

主要学术论文
[1]Feng Zhou, Min GAN (甘敏, 通讯作者), Han-Xiong Li. SD-ARX Modeling and Robust MPC with Variable Feedback Gain for Nonlinear Systems. Submitted to IET Control Theory & Applications.
[2]Qiong-Ying Chen, Min GAN (甘敏, 通讯作者), C. L. Philip Chen. Variable projection approach based on BFGS algorithm for blind deconvolution, IET Image Processing， Major revision.
[3]Jing Chen, Min GAN, C. L. Philip Chen. Robust standard gradient descent algorithm for ARX models using Aitken acceleration technique, IEEE Transactions on Cybernetics, Major revision.
[4]Guang-Yong Chen, Shu-qiang Wang, Min GAN (甘敏, 通讯作者), C. L. Philip Chen. Insights into Algorithms of Separable Nonlinear Least Squares Problems. IEEE Transactions on Image Processing, Major revision
[5]Shuqiang Wang, Min Gan, Han-Xiong Li, Yanyan Shen, Baiying Le. Image Classification using Optimized Projective Scheme under Tensor Mode. Submitted to IEEE Transactions on Cybernetics.
[6]Genggeng Liu, Weida Zhu, Zhen Zhuang, Min Gan, Chi-Hua Chen, and Wenzhong Guo. A Robust Multilayer X-Architecture Global Routing System Based on Particle Swarm Optimization. IEEE Transactions on Systems, Man and Cybernetics: Systems, Major revision.
[7]Jing Chen, Biao Huang, Min GAN, C. L. Philip Chen. Improved EM algorithms for time-delayed systems based on the gradient descent method and Arnoldi's method. Submitted to IEEE Transactions on Automatic Control.
[9]Jing Chen, Biao Huang, Min GAN, C. L. Philip Chen. A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace. Automatica, Accept for publication.
[10]Jian-nan Su, Min GAN (甘敏, 通讯作者), Guang-Yong Chen, C. L. Philip Chen. Attention-Based Convolutional Neural Networks for Image Super-Resolution. IEEE Transactions on Multimedia, Major revision.
[11]Guang-Yong Chen, Min GAN (甘敏, 通讯作者), C. L. Philip Chen, Hong-Tao Zhu. Frequency Principle in Broad Learning System. IEEE Transactions on Neural Network and Learning Systems, Major revision.
[12]Hong-Tao Zhu, Min GAN (甘敏, 通讯作者), Guang-Yong Chen, C. L. Philip Chen. An Iterative Implementation of Variable Projection Algorithm for Separable Nonlinear Optimization Problems. IEEE Transactions on Systems, Man and Cybernetics: Systems, Major revision.
[13]Min GAN (甘敏), Yu Guan, Guang-Yong Chen, C. L. Philip Chen. Recursive Variable Projection Algorithm for a Class of Separable Nonlinear Models. IEEE Transactions on Neural Network and Learning Systems, in press, Doi: 10.1109/TNNLS.2020.3026482..
[14]Jia Chen, Min GAN (甘敏, 通讯作者), Guang-Yong Chen, C. L. Philip Chen. Constrained Variable Projection Optimization for a Stationary RBF-AR Model. IEEE Transactions on Systems, Man and Cybernetics: Systems, 2020, in press, DOI (identifier) 10.1109/TSMC.2020.3034644.
[15]Min GAN (甘敏), Hong-Tao Zhu, Guang-Yong Chen, C. L. Philip Chen. Weighted Generalized Cross Validation Based Regularization for Broad Learning System. IEEE Transactions on Cybernetics, 2020, in press, DOI (identifier): 10.1109/TCYB.2020.3015749.
[16]Feng Zhou, Min GAN (甘敏, 通讯作者), C. L. Philip Chen. State-dependent ARX Model-based RPC with Variable Feedback Control Laws for Output Tracking, IEEE Transactions on Industrial Electronics, 2020, accept for publication, in press, DOI (identifier) 10.1109/TIE.2020.2984440.
[17] Shu-qiang Wang, Xiang-yu Wang, Yan-yan Shen, Zhi-le Yang, Min GAN (甘敏, 通讯作者), Bai-ying Lei. Diabetic Retinopathy Diagnosis using Multi-channel Generative Adversarial Network with Semi-supervision, IEEE Transactions on Automation Science and Engineering, 2020, accept for publication, in press, DOI (identifier) 10.1109/TASE.2020.2981637.
[18]Guang-Yong Chen, Min GAN (甘敏, 通讯作者), C. L. Philip Chen, Han-Xiong Li. Basis Function Matrix based Flexible Coefficient Autoregressive Models: A Framework for Time Series and Nonlinear System Modeling. IEEE Transactions on Cybernetics, acceptable for publication, DOI (identifier) 10.1109/TCYB.2019.2900469, 2019, in press.
[19]【book chapter】Shu-qiang Wang, Hong-fei Wang, Albert C. Cheung, Yan-yan Shen, Min GAN (甘敏, 通讯作者). Ensemble of 3D Densely Connected Convolutional Network for Diagnosis of Mild Cognitive Impairment and Alzheimer’s Disease. Deep Learning Applications，2020，Springer Nature Singapore Pte Ltd.
[20]Dong-Qing Wang, Suo Zhang, Min GAN (甘敏), and Jian-long Qiu, \