郑文明 (Wenming Zheng)

博士,教授,博导

儿童发展与学习科学教育部重点实验室主任

 

电子邮箱:wenming_zheng[AT]seu[DOT]edu[DOT]cn

个人主页:http://aip.seu.edu.cn/wmzheng/

办公地点:东南大学四牌楼校区李文正楼中318室


[个人简介] [研究兴趣] [学术兼职] [研究项目] [部分论著] [获奖情况] [授权专利] [招生信息]


个人简介

郑文明,教授,博士生导师,现任儿童发展与学习科学教育部重点实验室主任、IEEE高级会员、中国认知科学学会理事。2004年9月博士毕业于东南大学无线电工程系信号与信息处理专业。先后在微软亚洲研究院、香港中文大学、美国伊利诺伊大学香槟分校、剑桥大学从事访问研究。主要研究方向为多模态情感计算、神经信息处理、计算机视觉,机器学习。2005年入选教育部新世纪优秀人才支持计划,先后获首届微软青年教授奖、全国优秀博士学位论文提名奖、江苏省杰出青年基金等荣誉。担任IEEE Transactions on Affective Computing、Neurocomputing、The Visual Computer、《图学学报》等国内外期刊编委。主持了科技部973课题、国家自然科学基金重点项目、江苏省杰出青年基金项目等,获教育部自然科学二等奖2项和江苏省科技进步二等奖1项。

研究兴趣

情感计算,模式识别,机器学习,计算机视觉,神经信息工程。

学术兼职

  • IEEE Transactions on Affective Computing编委(Associated Editor)
  • Neurocomputing编委(Associated Editor)
  • The Visual Computer编委(Editorial Board Member)
  • 中国认知科学学会常务理事
  • 中国认知科学学会神经教育学分会理事
  • 中国认知科学学会社会认知科学分会常务理事
  • 中国工程院院刊《Engineering》神经信息工程专题编委
  • 《图学学报》编委
  • IEEE Senior Member

研究项目

  1. 高级脑机交互中动作意图与情感判读,科技部973 课题(编号:2015CB351704),2015-2019,主持
  2. 基于视频分析的儿童行为研究,国家自然科学基金重点项目(编号:61231002),2013-2017,主持
  3. 基于子空间迁移学习的跨语种语音情感识别研究,国家自然科学基金面上项目(编号:61572009),2016-2019,主持
  4. 多模态情感识别,江苏省杰出青年基金(编号:BK20130020),2013-2016,主持
  5. 可视媒体的结构分析与机器学习,科技部973 课题(编号2011CB302202),2011-2015,参与(课题骨干)
  6. 基于微表情的说谎行为自动识别研究,教育部博士点基金(编号:20120092110054),2013-2015,主持
  7. 基于GMM的Bayes错误率估计理论与非正面表情识别研究,国家自然科学基金面上项目(编号:61073137),2011-2013,主持
  8. 多类Fukunaga-Koontz变换及增量式判别分析的理论和算法研究,国家自然科学基金面上项目(编号:60872160),2009-2011,主持
  9. 广义判别分析算法研究与应用,国家自然科学基金面上项目(编号:60503023),2006-2008,主持
  10. 语音信号中的情感特征的分析与建模,国家自然科学基金面上项目(编号:60472058),2005-2007,参与
  11. 基于核典型相关分析的面部表情识别研究,江苏省自然科学基金(编号:BK2005407),2005-2007,主持

部分论著{更多}

  • 图书
    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.
  • 期刊论文选录
    1. Zhen Cui, Shengtao Xiao, Zhiheng Niu, Shuicheng Yan, Wenming Zheng, “Recurrent Shape Regression,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018. DOI: 10.1109/TPAMI.2018.2828424
    2. Wenming Zheng, Cheng Lu, Zhouchen Lin, Tong Zhang, Zhen Cui, Wankou Yang, “L1-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions,” IEEE Transactions on Neural Networks and Learning Systems, 2018. DOI: 10.1109/TNNLS.2018.2863264
    3. 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.
    4. Yang Li, Wenming Zheng, et al., “A Bi-hemisphere domain adversarial neural network model for EEG emotion recognition,” IEEE Transactions on Affective Computing, 2018.  DOI: 10.1109/TAFFC.2018.2885474
    5. Zhen Cui, Youyi Cai, Wenming Zheng, Chunyan Xu, Jian Yang, “Spectral Filter Tracking,” IEEE Transactions on Image Processing, 2018 (accepted).
    6. 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.
    7. 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.
    8. 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
    9. 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
    10. Tengfei Song, Wenming Zheng, Peng Song, Zhen Cui, “EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks,” IEEE Transactions on Affective Computing, 2018. DOI: 10.1109/TAFFC.2018.2817622
    11. Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Rongrong Ji, Jian Yang, “Action-Attending Graphic Neural Network”, IEEE Transactions on Image Processing, Vol.27, No.7, pp.3657-3670, 2018.
    12. Yuan Zong, Xiaohua Huang, Wenming Zheng, Zhen Cui, Guoying Zhao, “Learning from Hierarchical Spatiotemporal Descriptors for Micro-Expression Recognition,” IEEE Transactions on Multimedia, Vol.20, No.11, pp.3160-3172, 2018.
    13. 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, Vol.22, No.5, pp.1373-1384, 2018.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Yuan Zong, Wenming Zheng, Zhen Cui, Guoying Zhao, Bin Hu, “Towards Bridging Micro-Expressions From Different Domains,” IEEE Transactions on Cybernetics, 2018. (under revision)
    20. S. Ge, Y-C Jiang, R.-M. Wang, K. Iramina, J.-F. Gao, Y. Leng, Y.-K. Yang, H.-H. Deng, H.-X. Wang, P. Lin, W.-M. Zheng, “Training-free Steady-state Visual Evoked Potential Brain-Computer Interface based on Canonical Correlation Analysis and Spatiotemporal Beamforming Decoding,” IEEE Journal of Biomedical and Health Informatics, 2018. (under review)
    21. Guanhua Zhang, Yong-Jin Liu, Senior Member, IEEE, Xu Yan, Guozhen Zhao, Dan Zhang, Wenming Zheng, “SparseDGCNN: Recognizing Emotion from Multichannel EEG Signals,” IEEE Transactions on Affective Computing, 2018. (under review)
    22. Tong Zhang, Wenming Zheng, Zhen Cui, Chaolong Li, Xiaoyan Zhou, “Deep Manifold-to-Manifold Transforming Network for Action Recognition,” IEEE Transactions on Multimedia, 2018. (under review)
    23. Jiatao Jiang, Zhen Cui, Chunyan Xu, Tong Zhang, Wenming Zheng, Jian Yang, “Walk-steered convolution for graph classification”, IEEE Transactions on Neural Networks and Learning Systems, 2018. (under review)
    24. 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)
    25. Jingjie Yan, Guanming Lu, Xiaonan Li, Wenming Zheng, Zhen Cui,Haibo Li, Mengying Chen, Yi Liu, Jindu Zhu, “PFERN: A Large Database for Pain Facial Expression Recognition of Neonate,” IEEE Transactions on Multimedia, 2018. (under review)
    26. Yuan Zong, Wenming Zheng, Xiaopeng Hong, Chuangao Tang, Zhen Cui, Guoying Zhao, “Cross-Database Micro-expression Recognition: A Benchmark”, IEEE Transactions on Image Processing, 2018. (Submitted)
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
  • 会议论文选录
    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  (IJCAI2018), pp.1561-1567, 2018.
    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), pp.3482-3489, 2018.
    3. Zhen Cui, Chunyan Xu, Wenming Zheng, Jian Yang, “Context-Dependent Diffusion Network for Visual Relationship Detection,” ACM Multimedia Conference (ACM MM2018), pp.1475-1482, 2018.
    4. 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.
    5. 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)
    6. 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)
    7. 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.
    8. 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)
    9. 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.
    10. 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.

获奖情况

  1. 教育部高等学校自然科学奖二等奖(2015,鲁棒人脸视觉特征的提取、建模与识别的理论和方法研究),排名1
  2. 江苏省杰出青年基金(2013)
  3. 江苏省333工程中青年学术带头人(2011)
  4. 江苏省科技进步二等奖(2009,基于面部表情和情感语音的儿童情绪能力分析与分类的研究),排名5
  5. 东南大学青年特聘教授(2009)
  6. 教育部高等学校自然科学奖二等奖(2008,情感特征分析与识别的理论与应用研究),排名3
  7. 全国优秀博士学位论文提名奖(2007)
  8. 江苏省优秀博士学位论文奖(2006)
  9. 东南大学优秀青年教师教学科研资助计划(2006)
  10. 首届微软青年教授奖(2006)
  11. 教育部新世纪优秀人才支持计划(2005)

授权专利

  1. 周晓彦,郑文明,朱小芳,陈彭鑫,马婷婷,“基于优化的核Fukunaga-Koontz变换的人脸识别方法”,ZL201510439601.7,2018.
  2. 郑文明,冯天从,“一种姿态归一化的非正面人脸表情识别方法”,ZL201310261775.X,2017-05-24.
  3. 郑文明,徐新洲,赵力,罗昕炜,黄程韦,余华,吴尘,查诚, “一种基于多核学习判别分析的舰船辐射信号识别方法”,ZL201410437529.X,2017-05-31.
  4. 郑文明,徐新洲,赵力,黄程韦,余华,吴尘,查诚, “一种基于说话人惩罚的独立于说话人语音情感识别方法”,ZL201410078383.4,2016-08-24.
  5. 郑文明,徐新洲,赵力,魏昕,余华,黄程韦,刘健刚, “一种基于核半监督的语音情感识别方法”,ZL201310549224.3,2016-09-07.
  6. 郑文明,周亚丽,冯天从,“一种相片识别中的单样本人脸识别方法”,ZL201210268730.0,2016-05-10.
  7. 罗琳,赵力,郑文明,黄山,杨明,“一种儿童坐姿监控智能终端”,ZL2014100040352,2015-10-14.
  8. 周晓彦,郑文明,“基于谱稀疏典型相关分析的表情语义稀疏量化方法”,ZL201210218216.6,2015-06-17.
  9. 郑文明,王春茂,“一种基于开放式Web Service架构的分布式视觉计算方法”,ZL201010240121.5,2013-08-07.
  10. 郑文明,王海贤,周晓彦,”人脸表情图像的分类及语义评判量化方法”,ZL200710019296.1,2008-12-31.
  11. 邹采荣,周晓彦,赵力,郑文明,魏昕,”一种人脸身份和表情的同步识别方法”,ZL200810122802.4,2011-12-07.
  12. 赵力,王治平,赵艳,郑文明,”一种基于支持向量机的语音情感识别方法”,ZL200610097301.6,2011-11-09.
  13. 赵力,冀贞海,孙宁,郑文明,”一种基于加权主动形状建模的人脸特征定位方法”,ZL200610097300.1,2008-12-17.

招生信息

每年招收生物科学与医学工程学院信息科学与工程学院1-2名博士生和2-3名硕士生,如果您希望在此攻读博士或硕士学位,请联系我。

 
 
Last Modified: 2018-12-08

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