郑文明 - 东南大学 - 生物科学与医学工程学院

个人简介

郑文明，二级教授，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，获国家技术发明二等奖1项、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。

研究领域

情感计算，模式识别，机器学习，计算机视觉，神经信息工程。

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Zhen Cui, Shengtao Xiao, Zhiheng Niu, Shuicheng Yan, Wenming Zheng, “Recurrent Shape Regression,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.41, No.5, pp.1271-1278, 2019. 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 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. Yang Li, Wenming Zheng, Yuan Zong, Zhen Cui, Tong Zhang, Xiaoyan Zhou, “A Bi-hemisphere domain adversarial neural network model for EEG emotion recognition,” IEEE Transactions on Affective Computing, 2018. DOI: 10.1109/TAFFC.2018.2885474 Yuan Zong, Wenming Zheng, Zhen Cui, Guoying Zhao, Bin Hu, “Towards Bridging Micro-Expressions From Different Domains,” IEEE Transactions on Cybernetics, 2018. (accepted) Zhen Cui, Youyi Cai, Wenming Zheng, Chunyan Xu, Jian Yang, “Spectral Filter Tracking,” IEEE Transactions on Image Processing, Vol.28, No.5, pp.2479-2489, 2019. 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. 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. Tong Zhang, Wenming Zheng, Zhen Cui, Yuan Zong, Yang Li, “Spatial-Temporal Recurrent Neural Network for Emotion Recognition,” IEEE Transactions on Cybernetics, Vol.49, No.3, pp.839-847, 2019. 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 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 Xiaochao Zhao, Yaping Lin, Li Liu, Janne Heikkila, Wenming Zheng, “Dynamic Texture Classification Using Unsupervised 3D Filter Learning and Local Binary Encoding,” IEEE Transactions on Multimedia, 2018. DOI: 10.1109/TMM.2018.2890362 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. 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. 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. 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. 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. 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. 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. 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.