学校官网

专业:电气工程

首页 >研究生教育 >导师风采 >专业:电气工程 >正文

袁浩亮
2016-11-03 15:13   审核人:   (点击: )

 

导师介绍
姓      名 袁浩亮
性     别
职称/职务 特聘副教授
所属专业 电气工程
研究领域 机器学习、模式识别、计算机视觉
联系电话 13580374367
电子邮箱 haoliangyuan@gmail.com
个人简介

 

袁浩亮,男,1986年生,澳门大学软件工程博士学位,青年百人计划特聘副教授,硕士生导师。主要从事机器学习、模式识别、计算机视觉等研究。现加入赖来利教授团队,主要从事人工智能在智能电网中的研究工作。

 

教育经历:          

 

2005.09-2009.06 湖北大学 数学与应用数学  学士学位          

 

2009.09-2012.06 湖北大学 应用数学        硕士学位          

 

2012.09-2016.04 澳门大学 软件工程       博士学位          

         

 

 

 

 

 

 

 

 

 

代表性论著
 期刊论文
1H. Yuan, J. Zheng, L. L. Lai, and Y. Y. Tang, A constrained least squares regression model, Information Sciences, vol. 429, pp. 247-259, 2018. (SCI)
2H. Yuan, X. Li, F. Xu, Y. Wang, L. L. Lai, and Y. Y. Tang, A collaborative-competitive representation based classifier model, Neurocomputing, in press, DOI: doi.org/10.1016/j.neucom.2017.09.022, 2018. (SCI)
3H. Yuan, J. Zheng, L. L. Lai, and Y. Y. Tang, Semi-supervised graph-based retargeted least squares regression. Signal Processing, vol. 142, pp. 188-193, 2018. (SCI)
4H. Yuan, Robust patch-based sparse representation for hyperspectral image classification, International Journal of Wavelets, Multiresolution and Information Processing, vol. 15, no. 3, pp. 1-15, 2017. (SCI)
5H. Yuan and L. L. Lai, Robust subspace learning method for hyperspectral image classification, International Journal of Wavelets, Multiresolution and Information Processing, vol. 15, no. 6, pp. 1-21, 2017. (SCI)
6H. Yuan and Y. Y. Tang, Spectral-Spatial Shared Linear Regression for Hyperspectral Image Classification, IEEE Transactions on Cybernetics, vol. 47, no. 5, pp. 934-945, 2017. (SCI)
7Y. Y. Tang, Y. Lu, and H. Yuan, Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform, IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 5, pp. 2467-2480, 2015. (通讯作者) (SCI)
8H. Yuan and Y. Y. Tang, Learning with Hypergraph for Hyperspectral Image Feature Extraction, IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 8, pp. 1695-1699, 2015. (SCI)
9H. Yuan and Y. Y. Tang, Sparse Representation Based on Set-to-set Distance for Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 2464-2472, 2015. (SCI)
10Y. Y. Tang, H. Yuan, and L. Li, Manifold-Based Sparse Representation for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 12, pp. 7606-7618, 2014. (导师一作) (SCI)
11H. Yuan, Y. Y. Tang, Y. Lu, L. Yang, and H. Luo, Hyperspectral Image Classification Based on Regularized Sparse Representation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 2174-2182, 2014. (SCI)
12H. Yuan, Y. Y. Tang, Y. Lu, L. Yang, and H. Luo, Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 2035-2043, 2014. (SCI)
13H. Yuan and Y. Y. Tang, A Novel Sparsity-Based Framework Using Max Pooling Operation for Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 8, pp. 3570-3576, 2014. (SCI)
会议论文
1Y. Tao, H. Yuan, and L. L. Lai, Nuclear Norm Joint Sparse Representation for Hyperspectral Image Classification, Chinese Automation Congress, 2017.
2H. Yuan, J. Zheng, et al,  A Generalized Discriminative Least Squares Regression Model, 4th Asian Conference on Pattern Recognition, 2017.
3H. Yuan, Y. Y. Tang, et al, Feature Extraction Based on Kernel Sparse Representation for Hyperspectral Image Classification, IEEE International Conference on Systems, Man and Cybernetics, 2014, pp. 4210-4215.
4H. Yuan and Y. Y. Tang, Multi-Scale Tensor L1-Based Algorithm for Hyperspectral Image Classification, IEEE International Conference on Pattern Recognition, 2014, pp. 1383-1388.
5H. Yuan, Y. Lu, L. Yang, H. Luo, and Y. Y. Tang, Spectral-Spatial Linear Discriminant Analysis for Hyperspectral Image Classification, IEEE International Conference on Cybernetics, 2013, pp. 144-149.
6H. Yuan, Y. Lu, L. Yang, H. Luo, and Y. Y. Tang, Sparse Representation Using Contextual Information for Hyperspectral Image Classification, IEEE International Conference on Cybernetics, 2013, pp. 138-143.
7X. Lu, H. Yuan, P. Yan, Y. Yuan, and X. Li, Geometry constrained sparse coding for single image super-resolution, IEEE International Conference on Computer Vision and Pattern Recognition, 2012, pp. 1648-1655. (CCF A类会议)
8X. Lu, H. Yuan, Y. Yuan, P. Yan, L. Li, and X. Li, Local learning-based image super-resolution, IEEE International Workshop on Multimedia Signal Processing, 2011, pp. 1-5.
9X. Lu, H. Yuan, P. Yan, L. Li, and X. Li, Image denoising via improved sparse coding, British Machine Vision Conference, 2011, pp. 1-11.     

 

 

 

     

 

 

 

 

   


 

关闭窗口