Wenming Zheng (郑文明)

Professor, Ph.D.

Director of Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education

Leader of Affective Information Processing Lab

 

Email:wenming_zheng[AT]seu[DOT]edu[DOT]cn

URL:http://aip.seu.edu.cn/wmzheng/

Office: Room 318(Middle), Liwenzheng Building, Sipailou Campus of Southeast University, No. 2 Sipailou, Nanjing, China.


[Biography] [Research Interests] [Research Projects] [Selected Publications] [Recruit]


Biography

Currently, I am a Professor and the Director of Key Laboratory of Child Development and Learning Science of Ministry of Education, School of Biological Science & Medical Engineering, Southeast University (SEU), Nanjing, Jiangsu, China. I received my Ph.D. degree in Signal and Information Processing from Department of Radio, SEU, in 2004. Since 2004, I have been with the RCLS, SEU, where I founded my research group – Affective Information Processing Lab (AIPL).

Research Interests

My main interests include affective computing, neural computation, pattern recognition, machine learning, and computer vision.

Research Projects

  1. Emotion and intention recognition for advanced brain-computing interaction, National Basic Research Program of China (973), Grant No. 2015CB351704, 2015-2019, PI
  2. Children’s behavior study based on Video analysis, National Natural Science Foundation of China (NSFC), Grant No.61231002, 2013-2017, PI
  3. Cross-corpus speech emotion recognition study based transfer subspace learning, National Natural Science Foundation of China (NSFC), Grant No. 61572009, 2016-2019, PI
  4. Multimodal emotion recognition, Natural Science Foundation of Jiangsu Province, Grant No. BK20130020, 2013-2016, PI

Selected Publications{MORE}

  • Book Chapters
    1. Wenming Zheng, Hao Tang, and Thomas S. Huang, “Emotion recognition from non-frontal facial images”, in Emotion Recognition: A Pattern Analysis Approach, Amit Konar, Aruna Chakraborty (eds.), Wiley-Blackwell, ISBN:9781118130667, 2015.
  • Journal Papers
    1. Zhen Cui, Shengtao Xiao, Zhiheng Niu, Shuicheng Yan, Wenming Zheng, “Recurrent Shape Regression,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 (accepted).
    2. Wenming Zheng, Yuan Zong, Xiaoyan Zhou and Minghai Xin. “Cross-Domain Color Facial Expression Recognition Using Transductive Transfer Subspace Learning,” IEEE Transactions on Affective Computing, Vol.9, No.1, pp.21-37, 2018.
    3. Wenming Zheng, “Multichannel EEG-Based Emotion Recognition via Group Sparse Canonical Correlation Analysis,”IEEE Transactions on Cognitive and Developmental Systems, Vol.9, No.3, pp.281-290, 2017.
    4. Yuan Zong, Wenming Zheng, Xiaohua Huang, Jingang Shi, Zhen Cui, Guoying Zhao, “Domain Regeneration for Cross-Database Micro-Expression Recognition,” IEEE Transactions on Image Processing, Vol.27, No.5, pp.2484-2498, 2018.
    5. Tong Zhang, Wenming Zheng, Zhen Cui, Yuan Zong, Yang Li, “Spatial-Temporal Recurrent Neural Network for Emotion Recognition,” IEEE Transactions on Cybernetics, 2017. DOI: 10.1109/TCYB.2017.2788081
    6. Peng Song, Wenming Zheng, “Feature Selection Based Transfer Subspace Learning for Speech Emotion Recognition,” IEEE Transactions on Affective Computing, 2018. DOI: 10.1109/TAFFC.2018.2800046
    7. Tengfei Song, Wenming Zheng, Peng Song, Zhen Cui, “EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks,” IEEE Transactions on Affective Comuting, 2018. DOI: 10.1109/TAFFC.2018.2817622
    8. Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Rongrong Ji, Jian Yang, “Action-Attending Graphic Neural Network”, IEEE Transactions on Image Processing, 2018. DOI: 10.1109/TIP.2018.2815744
    9. Yuan Zong, Xiaohua Huang, Wenming Zheng, Zhen Cui, Guoying Zhao, “Learning from Hierarchical Spatiotemporal Descriptors for Micro-Expression Recognition,” IEEE Transactions on Multimedia, 2018.DOI: 10.1109/TMM.2018.2820321
    10. S. Ge, Y.-H. Shi, R.-M. Wang, P. Lin, J.-F. Gao, G.-P. Sun, K. Iramina, Y.-K. Yang, Y. Leng, H.-X. Wang, W.-M. Zheng, “Sinusoidal Signal Assisted Multivariate Empirical Mode Decomposition for Brain-Computer Interfaces,” IEEE Journal of Biomedical and Health Informatics, 2017. DOI 10.1109/JBHI.2017.2775657
    11. Tong Zhang, Wenming Zheng, Zhen Cui, Yuan Zong, Jingwei Yan, Keyu Yan, “A Deep Neural Network Driven Feature Learning Method for Multi-view Facial Expression Recognition”, IEEE Transactions on Multimedia, Vol.18, No.12, pp.2528-2536, 2016.
    12. Jingjie Yan, Wenming Zheng, Qinyu Xu, Guanming Lu, Haibo Li, Bei Wang, “Sparse Kernel Reduced-Rank Regression for Bimodal Emotion Recognition From Facial Expression and Speech,” IEEE Transactions on Multimedia, vol. 18, no. 7, pp. 1319-1329, 2016.
    13. Wenming Zheng, “Multi-View Facial Expression Recognition Based on Group Sparse Reduced-Rank Regression,” IEEE Transactions on Affective Computing, vol. 5, no. 1, pp. 71-85, 2014.
    14. Wenming Zheng, Zhouchen Lin, Haixian Wang. “L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction,” IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 4, pp 793-805, 2014.
    15. Haixian Wang, Xuesong Lu,Zilan Hu, Wenming Zheng, “Fisher Discriminant Analysis With L1-Norm,” IEEE Transactions on Cybernetics, vol. 44, no. 6, pp. 828-842, 2014.
    16. Haixian Wang, Qin Tang, Wenming Zheng, “L1-norm-based common spatial patterns”, IEEE Transactions on Biomedical Engineering, vol.59, no.3, pp.653-662, 2012.
    17. Wenming Zheng, Zhouchen Lin, and Xiaoou Tang, “A Rank-One Update Algorithm for Fast Solving Kernel Foley-Sammon Optimal Discriminant Vectors”, IEEE Transactions on Neural Networks, Vol.21, No.3, pp.393-403, 2010.
    18. Wenming Zheng, and Xiaoou Tang, “Fast Algorithm for Updating the Discriminant Vectors of Dual-space LDA”, IEEE Transactions on Information Forensics & Security, Vol.4, No.3, pp.418-427, 2009.
    19. Haixian Wang, Wenming Zheng, “Local Temporal Common Spatial Patterns for Robust Single-Trial EEG Classification”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol.16, No.2, pp.131-139, 2008.
    20. Haixian Wang, Sibao Chen, Zilan Hu, Wenming Zheng, “Locality-preserved maximum information projection,” IEEE Transactions on Neural Networks, Vol.19, No.4, pp.571-585, 2008.
    21. Wenming Zheng, Xiaoyan Zhou, Cairong Zou and Li Zhao, “Facial Expression Recognition Using Kernel Canonical Correlation Analysis (KCCA)”, IEEE Transactions on Neural Networks, Vo.17, No.1, pp.233-238, 2006.
    22. Wenming Zheng, Li Zhao, and Cairong Zou, “Foley-Sammon Optimal Discriminant Vectors Using Kernel Approach”, IEEE Transactions on Neural Networks, Vo.16, No.1, pp.1-9, 2005.
    23. Yun Li, Hui Fang, Wenming Zheng, et al., “A Fiber Tractography Study of Social-Emotional Related Fiber Tracts in Children and Adolescents with Autism Spectrum Disorder,” Neuroscience Bulletin, Vol.33, No.6, pp.722-730, 2017.
    24. Li Zhang, John Q. Gan, Wenming Zheng, Haixian Wang, “Spatiotemporal Phase Synchronization in Adaptive Reconfiguration from Action Observation Network to Mentalizing Network for Understanding other’s Action Intention,” Brain Topography, 2017. DOI: 10.1007/s10548-017-0614-7
    25. Wenming Zheng, “Class-Incremental Generalized Discriminant Analysis”, Neural Computation, Vol.18, No.4, pp.979-1006, 2006.
    26. Wenming Zheng, Li Zhao, and Cairong Zou, “A Modified Algorithm for Generalized Discriminant Analysis”, Neural Computation, Vol.16, No.6, pp. 1283-1297, 2004.
    27. Yuan Zong, Wenming Zheng, Zhen Cui, Guoying Zhao, Bin Hu, “Towards Bridging Micro-Expressions From Different Domains,” IEEE Transactions on Cybernetics, 2017. (under revision)
    28. Zhen Cui, Youyi Cai, Wenming Zheng, Chunyan Xu, Jian Yang, “Spectral Filter Tracking,” IEEE Transactions on Image Processing, 2018 (under review).
    29. Wenming Zheng, Zhouchen Lin, Zhen Cui, Wankou Yang, “L1-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions,” IEEE Transactions on Neural Networks and Learning Systems, 2017 (under revision).
    30. Zhen Cui, Chaolong Li, Wenming Zheng, Chunyan Xu, and Jian Yang, “Spatio-temporal graph convolution for skeleton based action recognition,” IEEE Transactions on Neural Networks and Learning Systems, 2018. (under review)
  • Conference Papers
    1. Yang Li, Wenming Zheng, et al., “A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition,” the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI-2018), 2018 (Accepted).
    2. Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Jian Yang, “Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition,” The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018.
    3. Yuan Zong, Xiaohua Huang, Wenming Zheng, Zhen Cui, Guoying Zhao, “Learning a Target Sample Re-Generator for Cross-Database Micro-Expression Recognition,” ACM 25th Conference on Multimedia (ACM MM2017), pp.872-880, 2017.
    4. Chuangao Tang, Wenming Zheng, Jingwei Yan Qiang Li, Yang Li, Tong Zhang, Zhen Cui, “View-independent Facial Action Detection,” IEEE 12th International Conference on Automatic Face & Gesture Recognition (FG2017), pp.878-882, 2017. (竞赛冠军)
    5. Jingwei Yan, Wenming Zheng, Zhen Cui, Chuangao Tang, Tong Zhang, Yuan Zong, Ning Sun, “Multi-clue Fusion for Emotion Recognition in the Wild,” ACM International Conference on Multimodal Interaction (ICMI) , pp.458-463, 2016.(竞赛季军)
    6. Wenming Zheng, Hao Tang, Zhouchen Lin, and Thomas S. Huang, “Emotion recognition from arbitrary view facial images,” European Conference on Computer Vision (ECCV2010), pp.490-503, 2010.
    7. Wenming Zheng, and Zhouchen Lin, “Optimizing Multi-class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification”, Neural Information Processing Systems (NIPS), pp.2268-2278, 2009. (ORAL presentation)
    8. Wenming Zheng, Hao Tang, Zhouchen Lin, and Thomas S. Huang, “A Novel Approach to Expression Recognition from Non-frontal Face Images”, International Conference on Computer Vision (ICCV 2009), pp.1901-1908, 2009.
    9. Haixian Wang, Wenming Zheng, Zilan Hu, and Sibao Chen, “Local and weighted maximum margin discriminant analysis”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), pp.1-8, 2007.

Recruit

I recruit 1-2 Ph.D. students and 2-3 Master students every year in both School of Biological Science & Medical Engineering and School of Information Science and Engineering. If you are interested in my research work, please contact me.

 
 
Last Modified: 2018-05-17

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