黄悦
副教授

清华大学 博士(2010)
研究方向: 
数字图像处理
所属部门: 
通信工程系
联系电话: 
+86-159-5923-2083
电子邮件: 
yhuang2010 (AT) xmu.edu.cn
主讲课程: 
工程数学(基础课)
电路分析(公共课)
现代信号处理(研究生必修课)
指导研究生: 
2011:硕士生:张君
学术兼职: 
厦门市通信学会会员,2010-
在研项目: 
基于稀疏表示分类的高内涵筛选显微图像神经突骨架提取研究,青年科学基金项目,2014-2016
代表性论文: 
Huang Y, Wu R, Sun Y, Wang W, *Ding X, 2014 online. Vehicle logo recognition system based on convolutional neural networks with a pre-training strategy, 2014. IEEE Transactions on Intelligent Transportation Systems, DOI:10.1109/TITS.20142387069.
Huang Y, Chen X, Zhang J, Zeng D, Zhang D, *Ding X, 2014. Single-trial ERPs denoising via collaborative filtering on ERPs images, Neurocomputing, 149:914-923.
Huang Y, Paisley J, Lin Q, *Ding X, Fu X, Zhang X, 2014. Bayesian nonparametric dictionary learning for compressed sensing MRI, IEEE Transactions on Image Processing, 23: 5007-5119.
Huang Y, Chen X, Zhang J, Zeng D, Zhang D, *Ding X, 2014. Single-trial ERPs denoising via collaborative filtering on ERPs images, DOI:10.1016/J.NEUCOM.2014.07.043 (SCI/EI)
Huang Y, Paisley J, Lin Q, *Ding X, Fu X, Zhang X, 2014. Bayesian nonparametric dictionary learning for compressed sensing MRI, IEEE Transactions on Image Processing, 23: 5007-5119 (IEEE: SCI/EI) .
Huang Yue, Zhang Jun, Huang Yunying, Computational identification of proteins sub-network in Parkinson's disease study,"Anti-Counterfeiting, Security and Identification (ASID), 2012 International Conference on"
Huang-Y,and et al, an automated approach for cerebral microvascularity labeling in microscopy images,Microscopy research and techniques,vol 75,iss 3,pp 388-396(2012)
Huang-Y,and et al, An automated computational framework for retinal vascular network labeling and branching order analysis ,microvascular research,vol 84,iss 2,pp c169-177(2012)
Yue Huang, Xuezhi Sun, Guangshu Hu, Yunying Huang, ‘An automated approach for cerebral microvascularity labeling in microscopy images’ Microscopy research and techniques, epub online(SCI JCR 4 IF 1.850)

您正在使用低版本的浏览器(低于IE6)!
为了获得正确的显示效果,请使用Firefox或Google Chrome等标准浏览器,
或升级您的浏览器至IE 8.0!