专业:电气工程

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

1.  H.Yuanand Y. Y. Tang, Spectral-Spatial Shared Linear Regression for HyperspectralImage Classification, IEEE Transactions on Cybernetics, Accept for publication,DOI: 10.1109/TCYB.2016.2533430, 2016.SCI

2.  Y. Y. Tang, Y. Lu, and H. Yuan, Hyperspectral ImageClassification Based on Three-Dimensional Scattering Wavelet Transform, IEEETransactions on Geoscience and Remote Sensing, vol. 53, no. 5, pp. 2467-2480,2015.(通讯作者)(SCI

3.  H.Yuanand Y. Y. Tang, Learning with Hypergraph for Hyperspectral Image FeatureExtraction, IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 8, pp.1695-1699, 2015.SCI

4.  H.Yuanand Y. Y. Tang, Sparse Representation Based on Set-to-set Distance forHyperspectral Image Classification, IEEE Journal of Selected Topics in AppliedEarth Observations and Remote Sensing, vol. 8, no. 6, pp. 2464-2472, 2015.SCI

5.  Y. Y. Tang, H. Yuan, and L. Li, Manifold-Based Sparse Representation forHyperspectral Image Classification, IEEE Transactions on Geoscience and RemoteSensing, vol. 52, no. 12, pp. 7606-7618, 2014. (导师第一作者)(SCI

6.  H.Yuan,Y. Y. Tang, Y. Lu, L. Yang, and H. Luo, Hyperspectral Image ClassificationBased on Regularized Sparse Representation, IEEE Journal of Selected Topics inApplied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 2174-2182,2014.SCI

7.  H.Yuan,Y. Y. Tang, Y. Lu, L. Yang, and H. Luo, Spectral-Spatial Classification ofHyperspectral Image Based on Discriminant Analysis, IEEE Journal of SelectedTopics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp.2035-2043, 2014.SCI

8.  H.Yuanand Y. Y. Tang, A Novel Sparsity-Based Framework Using Max Pooling Operationfor Hyperspectral Image Classification, IEEE Journal of Selected Topics inApplied Earth Observations and Remote Sensing, vol. 7, no. 8, pp. 3570-3576,2014.SCI

9.  H.Yuan,Y. Y. Tang, et al, Feature Extraction Based on Kernel Sparse Representation forHyperspectral Image Classification, IEEE International Conference on Systems,Man and Cybernetics, 2014, pp. 4210-4215.                              

10.H. Yuan and Y. Y. Tang, Multi-Scale TensorL1-Based Algorithm for Hyperspectral Image Classification, IEEE InternationalConference on Pattern Recognition, 2014, pp. 1383-1388.                              

11.H. Yuan, Y. Lu, L. Yang, H. Luo, and Y. Y. Tang,Spectral-Spatial Linear Discriminant Analysis for Hyperspectral ImageClassification, IEEE International Conference on Cybernetics, 2013, pp.144-149.                              

12.H. Yuan, Y. Lu, L. Yang, H. Luo, and Y. Y. Tang,Sparse Representation Using Contextual Information for Hyperspectral ImageClassification, IEEE International Conference on Cybernetics, 2013, pp.138-143.

13.X. Lu, H. Yuan, P.Yan, Y. Yuan, and X. Li, Geometry constrained sparse coding for single imagesuper-resolution, IEEE International Conference on Computer Vision and PatternRecognition, 2012, pp. 1648-1655.                          

14.X. Lu, H. Yuan, P.Yan, L. Li, and X. Li, Image denoising via improved sparse coding, BritishMachine Vision Conference, 2011, pp. 1-11.