杨猛

职称: 
副教授
E-mail: 
yangmengpolyu@msn.com
个人主页: www.yangmeng.org.cn
教师简介: 

科学是永无止境的,它是一个永恒之谜。 —— 爱因斯坦

给机器学习的大脑,看懂和理解整个世界

研究领域: 

计算机视觉、机器学习、模式识别、人工智能、大数据分析

教育背景: 

2009.9-2012.8,香港理工大学电子计算学系,博士

2006.9-2009.4,西北工业大学自动化学院,硕士

2005.9-2006.7,西北工业大学自动化学院,本科

工作经历: 

2017  -  至今,中山大学数据科学与计算机学院,副教授

2014.5-   2017,深圳大学计算机与软件学院,副教授

2012.9-2012.10,香港理工大学电子计算学系,Research Associate

海外经历: 

2012.11-2014.4,苏黎世联邦理工学院计算机视觉实验室,博士后

科研项目: 
  1. 基于隐式字典深度学习的图像分类识别研究,国家自然科学基金青年基金,25万元。项目负责人。时间:2015/01-2017/12。
  2. 基于判别混合字典学习的图像分类研究, 广东省自然科学基金——自由申请,10万元,项目负责人,时间:2015/01-2017/12。
  3. 基于变化字典学习和迁移的单样本人脸识别算法研究,深圳市科技计划项目基础研究,30万元,项目负责人,时间:2015/01-2016/12。
  4. 面向小样本问题的深度学习图像识别算法研究,深圳市基础研究自由探索项目,25万元,项目负责人,时间:2017
主要学术兼职: 

中国人工智能协会模式识别专委会委员

视觉与学习青年学者研讨会(VALSE)第二届在线组委会(VOOC)委员

电器和电子工程师学会(IEEE)会员

美国人工智能协会(AAAI)会员

中国计算机学会会员

顶级或权威国际期刊如IEEE TPAMI, TNNLS, TIP, TCSVT, TIFS, Pattern Recognition, Information Science, CVIU, Neurocomputing等,以及会议AAAI, ICML,ICCV等审稿人

教授课程: 

人工智能 (本科)、多媒体技术 (本科)、计算机基础 (本科)、算法设计与分析(本科)

代表性论著: 

1. 期刊论文:

[1].  Meng Yang, Heyou Chang, Weixin Luo, Jian Yang. Fisher discrimination dictionary pair learning for image classification. Neurocomputing, to appear.

[2].  Meng Yang, Xing Wang, Guohang Zeng, Linlin Shen. Joint and collaborative representation with local adaptive convolution feature for face recognition with single sample per person. Pattern Recognition, 66: 117-128, 2017.

[3].  Meng Yang, Heyou Chang, Weixin Luo. Discriminative analysis-synthesis dictionary learning for image classification. Neurocomputing, 219: 404-411, 2017.

[4].  Xing Wang, Meng Yang*, Linlin Shen. Structured regularized robust coding for face recognition. Neurocomputing, 216: 18-27, 2016. (*Corresponding author)

[5]. Meng Yang, Pengfei Zhu, Feng Liu, Linlin Shen. Joint representation and pattern learning for robust face recognition. Neurocomputing, 168: 70-80, 2015.

[6].  Meng Yang, Lei Zhang, Xiangchu Feng, David Zhang. Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification. International Journal of Computer Vision, 109 (3): 209-232, 2014.

[7].  Meng Yang, Zhizhao Feng, Simon Chi-Keung Shiu, Lei Zhang. Fast and robust face recognition via coding residual map learning based adaptive masking. Pattern Recognition, 47(2): 535-543, 2014.

[8].  Meng Yang, Lei Zhang, Simon Chi-Keung Shiu, David Zhang. Robust Kernel Representation With Statistical Local Features for Face Recognition. IEEE Trans. Neural Netw. Learning Syst., 24(6): 900-912, 2013.

[9].  Meng Yang, Lei Zhang, Jian Yang, David Zhang. Regularized Robust Coding for Face Recognition. IEEE Trans. Image Processing, 22(5): 1753-1766, 2013.

[10]. Meng Yang, Lei Zhang, Simon Chi-Keung Shiu, David Zhang. Gabor feature based robust representation and classification for face recognition with Gabor occlusion dictionary. Pattern Recognition, 46(7): 1865-1878, 2013.

[11]. Zhizhao Feng#, Meng Yang#, Lei Zhang, Yan Liu, David Zhang. Joint discriminative dimensionality reduction and dictionary learning for face recognition. Pattern Recognition, 46(8): 2134-2143, 2013.(# both authors contribute equally.)

[12] Meng Yang, Lei Zhang, Simon Chi-Keung Shiu, David Zhang. Monogenic Binary Coding: An Efficient Local Feature Extraction Approach to Face Recognition. IEEE Trans. Information Forensics and Security, 7(6): 1738-1751, 2012.

2. 会议论文

[1].  Meng Yang, Lin Chen. Discriminative semi-supervised dictionary learning with entropy regularization for pattern classification. In Proc. 31th AAAI Conference on Artificial Intelligence (AAAI), 2017. Oral

[2].  Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang*. Large margin softmax loss for convolutional neural networks. In Proc. 33rd International Conference on Machine Learning (ICML), 2016. (*Corresponding author)

[3].  Meng Yang, Weiyang Liu, Weixin Luo, Linlin Shen. Analysis-synthesis dictionary learning for universality-particularity representation based classification. In Proc. 30th AAAI Conference on Artificial Intelligence (AAAI), 2016.

[4].  Meng Yang, Dengxin Dai, Lilin Shen, Luc J. Van Gool. Latent dictionary learning for sparse representation based classification. In Proc. 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.

[5].  Meng Yang, Luc J. Van Gool, Lei Zhang. Sparse Variation Dictionary Learning for Face Recognition with A Single Training Sample Per Person. In Proc. 14th IEEE International Conference on Computer Vision (ICCV), 2013.

[6].  Meng Yang, Lei Zhang, David Zhang, Shenlong Wang. Relaxed Collaborative Representation for Pattern Classification. In Proc. 25th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.

[7].  Meng Yang, Lei Zhang, David Zhang. Efficient Misalignment Robust Representation for Real-time Face Recognition. In Proc. 12th European Conference on Computer Vision (ECCV), 2012.

[8].  Meng Yang, Lei Zhang, Xiangchu Feng, David Zhang. Fisher Discrimination Dictionary Learning for Sparse Representation. In Proc. 13th IEEE International Conference on Computer Vision (ICCV), 2011.

[9].  Meng Yang, Lei Zhang, Jian Yang, David Zhang. Robust sparse coding for face recognition. In Proc. 24th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

[10]. Lei Zhang, Meng Yang, Xiangchu Feng. Sparse Representation or collaborative Representation: Which Helps Face Recognition? In Proc. 13th IEEE International Conference on Computer Vision (ICCV), 2011. (the supervisor)

[11]. Meng Yang, Lei Zhang. Gabor feature based sparse representation for face recognition with gabor occlusion dictionary. In Proc. 11th European Conference on Computer Vision (ECCV), 2010.