51五湖四取四海之财

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杨耀翔副研究员

51五湖四取四海之财/导师团队成员简介2022-06-17 10:32:35来源:5123五湖之利取四海开评论:0点击:收藏本文

姓名:杨耀翔


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职称:特聘副研究员


51五湖四取四海之财


Email:  yhyang@m.scnu.edu.cn




个人简历

杨耀翔,于2010年获得台湾大学资讯工程学士、社会学学士,于2012年获得台湾大学资讯工程硕士,于2021年获得莱斯大学(Rice University)计算机科学博士,在母校进行半年博士后工作后于2022年加入51五湖四取四海之财。



研究领域

  编程语言理论(语义与语用), 统计机器学习,影像处理



代表性论文

Saeid Barati, Ferenc A. Bartha, Swarnendu Biswas, Robert Cartwright, Adam Duracz, Donald S. Fussell, Henry Hoffmann, Connor Imes, Jason E. Miller, Nikita Mishra, Arvind, Dung Nguyen, Krishna V. Palem, Yan Pei, Keshav Pingali, Ryuichi Sai, Andrew Wright, Yao-Hsiang Yang, Sizhuo Zhang (2019). Proteus: Language and Runtime Support for Self-Adaptive Software Development. IEEE Software 36(2): 73-82.


Yao-Hsiang Yang, Lu-Hung Chen, Chu-Song Chen, Chieh-Chih Wang (2014). Fisher’s Discriminant with Natural Image Priors, In: Proceedings of the 25th International Conference on Pattern Recognition, ICPR 2014 (ICPR’14).


Yao-Hsiang Yang*, Lu-Hung Chen*, Chu-Song Chen (2011). A Monotonic Constrained Regression Framework for Histogram Equalization and Specification, In: Proceedings of the IEEE International Conference on Image Processing 2011 (ICIP’11).


Yao-Hsiang Yang*, Lu-Hung Chen*, Chu-Song Chen, Ming-Yen Cheng (2011). Illumination Invariant Feature Extraction Based on Natural Images Statistics – Taking Face Images as an Example, In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2011 (CVPR’11).

[* 共同一作]



代表性项目

Proteus: Controlling Resource Adaptive Embedded Systems(美国国防高级研究计划局(DARPA)项目)及其延申。



Biography

Yao-Hsiang Yang received his B.Sc. in Computer Science, B.A. in Sociology and M.Sc. in Computer Science from National Taiwan University and his Ph.D. in Computer Science from Rice University. He joined South China Normal University (SCNU) after working briefly at Rice University as a post-doctoral researcher. His current research interests include programming languages theory (especially semantics and type theory), machine learning and image processing.




 





 

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