人员

教师

郑锋    助理教授

电子邮箱:

zhengf_AT_sustc.edu.cn

办公室:

南方科技大学创园10栋602

研究方向:

计算机视觉、机器学习与人机交互

教育背景

2012.10-2016.10:英国谢菲尔德大学,哲学博士


工作经历

2018年11月-现今:助理教授,南方科技大学,中国深圳

2018年08月-2018年10月:高级研究员,腾讯优图实验室,中国上海

2017年08月-2018年07月:博后研究员,匹兹堡大学,美国匹兹堡

2016年12月-2017年08月:博后研究员,德克萨斯大学阿灵顿分校,美国德克萨斯

2009年07月-2012年09月:助理研究员,中国科学院深圳技术研究院,中国深圳


荣誉与奖项

代表文章

[1] Feng Zhengand Ling Shao.A Winner-Take-All Strategy for Improved Object Tracking. IEEE Transactionson Image Processing, vol. 27(9), pp. 4302-4313, Sept. 2018.

[2] Feng Zheng, Ling Shao and Junwei Han. Robust and Long-Term Object Tracking with an Application toVehicles. IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2017.2749981,2018.

[3]Xiantong Zhen, Mengyang Yu,Feng Zheng, Ilanit Ben Nachum, MousumiBhaduri, David LaidleyandShuo Li. Multitarget Sparse Latent Regression. IEEE Transactions on Neural Networks and LearningSystems, vol. 29(5), pp. 1575-1586, May 2017.

[4] Yan-Guo Zhao, Zhan Song,Feng Zhengand Ling Shao. Learning a Multiple Kernel Similarity Metric forKinship Verification. Information Sciences, vol. 430, pp. 247-260, Mar. 2017.

[5] Xiantong Zhen,Feng Zheng, Ling Shao, Xianbin Cao and Dan Xu. Supervised Local Descriptor Learningfor Human Action Recognition. IEEE Transactions on Multimedia, vol 19(9), pp. 2056-2065, Sept. 2017.

[6] Feng Zheng, Yi Tang and Ling Shao.Hetero-manifold Regularization for Cross-modal Hashing. IEEETransactions on Pattern Analysis and Machine Intelligence, vol. 40(5), pp. 1059-1071, May 2016.

[7] Shoubiao Tan,Feng Zheng, Li Liu, Jungong Han, Ling Shao. Dense Invariant Feature-Based SupportVector Ranking for Cross-Camera Person Reidentification. IEEE Transactions on Circuits and Systems forVideo Technology, vol 28(2), pp. 356-363, Feb. 2016.

[8] Feng Zheng, Ling Shao, VitomirRacic, James Brownjohn. Measuring Human-Induced Vibrations of CivilEngineering Structures via Vision-Based Motion Tracking.Measurement, Vol. 83, pp. 44-56, 2016.

[9] Li Liu, Ling Shao,Feng Zheng. Realistic Action Recognition via Sparsely-Constructed Gaussian Processes.Pattern Recognition, vol. 47(12) pp. 3819-3827, 2014.

[10] Feng Zheng, Zhan Song, Ling Shao, Ronald Chung, KuiJia. A Semi-supervised Approach for Dimensionality Reduction with Distributional Similarity.Neurocomputing, Vol. 103(1), pp. 210-221, March2013.

[11] Feng Zheng, Ling Shao, Zhan Song, Chen Xi.  Action recognition using graph embedding and theco-occurrence matrices descriptor. International Journal of Computer Mathematics, vol. 88(18), pp.3896-3914, June 2011.

[12] Hanxuan Yang, Ling Shao,Feng Zheng, Liang Wang, Zhan Song. Recent Advances and Trends in VisualTracking: A Review. Neurocomputing, vol. 74(18), pp. 3823-3831, 2011.

 

会议:

 

[1] Feng Zheng, Heng Huang and Xin Miao. Fast Vehicle Identification in Surveillance via Ranked SemanticSampling Based Embedding. IJCAI,Stockholm, Sweden, July 2018.

[2] Kamran GhasediDizaji,Feng Zheng, NajmehSadoughiNourabadi, Yanhua Yang, Cheng Deng, HengHuang. Unsupervised Deep Generative Adversarial Hashing Network. CVPR, Salt Lake City, Utah, June 2018.

[3] Feng Zhengand Heng Huang.Direct Hashing without Pseudo-labels. AAAI, New Orleans, USA, Feb.2018.

[4] Bingzhang Hu,Feng Zhengand Ling Shao. Dual-reference Face Retrieval. AAAI, New Orleans, USA,Feb. 2018.

[5] Feng Zhengand Ling Shao.Learning Cross-view Binary Identities for Fast Person Re-identification. IJCAI,New York, USA, July 2016.

[6] Feng Zheng, Ling Shao, James Brownjohn. Learn++ for Robust Object Tracking. BMVC, Nottingham,UK, Sep. 2014.

[7] Xiantong Zhen, Ling Shao,Feng Zheng. Discriminative Embedding via Image-to-Class Distances. BMVC,Nottingham, UK, Sep. 2014

[8] Feng Zheng, Ling Shao, Zhan Song. A Set of Co-occurrence Matrices on the Intrinsic Manifold of HumanSilhouettes for Action Recognition, ACM CIVR (The former of ICMR), Xi’an China, July 2010.

[9] Feng Zheng, Ling Shao, Zhan Song. Eigen-space Learning Using Semi-supervised Diffusion Maps forHuman Action Recognition, ACM CIVR (The former of ICMR), Xi’an China, July 2010.


其他信息

CCF顶级会议(A类)PC:

ICML 2019 (International Conference on Machine Learning)

ICLR 2019 (International Conference for Learning Representations)

AAAI 2019 (Thirty-Third AAAI Conference on Artificial Intelligence)

NIPS2018 (Neural Information Processing Systems)

AAAI 2018 (Thirty-Second AAAI Conference on Artificial Intelligence)

IJCAI 2018 (International Joint Conference on Artificial Intelligence)

IJCAI 2017 (International Joint Conference on Artificial Intelligence)

 

杂志审稿:

IEEE TNNLS/TCSVT/TMM/Access

Neurocomputing

Information Sciences

IET Computer Vision etc.

 

授权专利:

1. 宋展,郑锋,赵颜果,图像识别方法和系统,授权号:CN103106388B, 2017-2-8.

2.郑锋,赵颜果,宋展,人机交互方法和装置,授权号:CN103105924B, 2015-9-9.

3.赵颜果,郑锋,宋展,图像识别方法和装置,授权号:CN103106387B, 2016-12-14.

4.宋展,赵颜果,聂磊,杨卫,郑锋,人手势检测方法与系统,授权号:CN102831439B, 2015-9-23.

5.宋展,赵颜果,聂磊,杨卫,郑锋,人手势跟踪方法与系统,授权号:CN102831439B, 2015-09-23.