情感计算、人工智能、模式识别、机器学习、计算机视觉

1. 教育部人工智能助推教师队伍建设行动试点指导专家组成员

2. 英国工程技术学会会士（IET Fellow）

3. IEEE Senior Member

4. 中国图像图形学学会杰出会员

5. 中国计算机学会杰出会员

6. 中国认知科学学会理事

7. 中国图象图形学学会情感计算与理解专委会常委

8. 中国人工智能学会光学成像专委会副主任

9. 中国认知科学学会神经教育学分会理事

10. 中国医学救援协会神经生物反馈治疗与干预分会常务理事

11. IEEE Transactions on Affective Computing编委（Associate Editor）

12. Neurocomputing编委（Associate Editor）

13. Visual Computer编委（Editorial Board Member）

14. 中国图象图形学报 编委

15. 图形学报 编委

科研项目：

1. 结合微表情的虚假行为意图识别建模与分析，国家自然科学基金联合基金重点项目（编号：U2003207），2021-2024，主持；

2. 基于图卷积神经网络的EEG-fNIRS双模态情感识别研究，国家自然科学基金面上项目（编号：62076064），2021-2024，主持；

3. 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

4. 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

5. 自主无人系统协同控制理论及应用，国家自然科学基金创新研究群体项目（编号：61921004），2020-2024，参与（项目骨干）

6. 时序动态表情/微表情识别，国家重点研发计划课题（编号：2018YFB1305203)，2019-2022，参与（课题骨干）

7. 基于语音、表情和肢体语言的情感识别方法研究，江苏省前沿引领技术基础研究专项课题（编号：BK20192004）,2019-2024，参与（课题骨干）

8. 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

9. 孤独症谱系障碍情感识别能力的评估与计算机干预系统的研发，江苏省科技计划重点病种规范化诊疗项目（编号：B320166616）,2016-2019，参与

10. 多模态情感识别，江苏省杰出青年基金（编号：BK20130020），2013-2016，主持

11. 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)

12. 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

13. 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

14. 多类Fukunaga-Koontz变换及增星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

15. 广义判别分析算法研究与应用，国家自然科学基金青年项目（编号：60503023），2006-2008，主持

16. 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

17. 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

教改项目：

1. 以行业需求为导向的情感计算课程改革，教育部产学合作协同育人项目（编号：202002179020），2020-2021，主持

图书：

[1] Wenming Zheng, Hao Tang, and Thomas S. Huang, “Emotion Recognition From Non-frontal Facial Images”, Emotion Recognition: A Pattern Analysis Approach, Amit Konar, Aruna Chakraborty (eds.), Wile-Blackwell, ISBN:9781118130667, 2005.

期刊论文：

[1] Jiawei Liu, Ruimin Wang, Yuankui Yang, Yuan Zong, Yue Leng, Wenming Zheng, Sheng Ge, “Convolutional Transformer-based Cross Subject Model for SSVEP-based BCI Classification”, IEEE Journal of Biomedical and Health Informatics, 2024. 

[2] Yizhu Zhang, Jingang Shi, Jiayin Wang, Yuan Zong, Wenming Zheng, Guoying Zhao, “MaskFusionNet: A Dual-Stream Fusion Model with Masked Pre-training Mechanism for rPPG Measurement”, IEEE Transactions on Circuits and Systems for Video Technology, 2024.

[3] Xuejun Li, Yuan Zong, Wenming Zheng, “Adaptive Multi-scale Iterative Optimized Video Object Segmentation Based on Correlation Enhancement”, IEEE Transactions on Circuits and Systems for Video Technology, DOI:10.1109/TCSVT.2024.3445717, 2024.

[4] Yizhu Zhang, Jingang Shi, Jiayin Wang, Yuan Zong, Wenming Zheng, Guoying Zhao, “MaskFusionNet: A Dual-Stream Fusion Model with Masked Pre-training Mechanism for rPPG Measurement”, IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2024.3422849, 2024.

[5] Jinpeng Lyu, Yuankui Yang, Yuan Zong, Yue Leng, Wenming Zheng, Sheng Ge, “Novel Sinusoidal Signal Assisted Multivariate Variational Mode Decomposition Combined With Task-Related Component Analysis for Enhancing SSVEP-Based BCI Performance”, IEEE Journal of Biomedical and Health Informatics, 2024.

[6] Xudong Wang, Tong Zhang, Guangbu Liu, Zhen Cui, Zhiyong Zeng, Cheng Long, Wenming Zheng, Jian Yang, “LightRoseTTA: High-efficient and Accurate Protein Structure Prediction Using a Light-weight Deep Graph Model,” Advanced Science, 2024.DOI: 10.1002/advs.202309051

[7] Ning Sun, Changwei You, Wenming Zheng*, Jixin Liu, Lei Chai, Haian Sun, “Multimodal Sentimental Privileged Information Embedding for Improving Facial Expression Recognition”, IEEE Transactions on Affective Computing, 2024.

[8] Mengqing Ye, C. L. Philip Chen, Wenming Zheng, Tong Zhang, “Adaptive Dual-Space Network With Multigraph Fusion for EEG-Based Emotion Recognition,” IEEE Transactions on Computational Social Systems, 2024.

[8] Tong Zhang, Guangbu Liu, Zhen Cu, Wei Liu, Wenming Zheng, Jian Yang, “Wasserstein Discriminant Dictionary Learning for Graph Representation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

[10] Junjie Zheng, Jian Zhou, Wenming Zheng, Liang Tao, Hon Keung Kwan, “Controllable Multi-Speaker Emotional Speech Synthesis With Emotion Representation of High Generalization Capability”, IEEE Transactions on Affective Computing, 2024.

[11] Y. Zhao, Y. Zong, J. Wang, H. Lian, C. Lu, L. Zhao, W. Zheng, “Layer-Adapted Implicit Distribution Alignment Networks for Cross-Corpus Speech Emotion Recognition”, IEEE Transactions on Computational Social Systems, 2024. DOI: 10.1109/TCSS.2024.3362690

[12] R. Wang, P. Song, W. Zheng, “Graph-Diffusion-Based Domain-Invariant Representation Learning for Cross-Domain Facial Expression Recognition”, IEEE Transactions on Computational Social Systems, Vol.11, No.3, pp.4163-4174, 2024.

[13] C. Tang, S. Li, W. Zheng, Y. Zong, S Zhang, C. Lu, Y Zhao, “CFEW: A Large-Scale Database for Understanding Child Facial Expression in Real World”, IEEE Transactions on Affective Computing, 2023. DOI: 10.1109/TAFFC.2023.3313782

[14] R. Wang, P. Song, S. Li, L. Ji, W. Zheng, “Common Latent Embedding Space for Cross-Domain Facial Expression Recognition”, IEEE Transactions on Computational Social Systems, Vol.11, No.2, pp.2046-2056, 2024.

[15] T. Song, S. Liu, W. Zheng*, Yuan Zong, Z. Cui, Y. Li, X. Zhou, “Variational Instance-Adaptive Graph for EEG Emotion Recognition,” IEEE Transactions on Affective Computing, Vol.14, No.1, pp.343-356, 2023.

[16] S. Ge, J. He, P. Lin, R. Wang, K. Iramina, Y. Leng, H. Wang, W. Zheng, C. Xiao, Z. Li, “Effective Connectivity Analysis and Classification of Action Observation From Different Perspectives: An fMRI Study”, IEEE Transactions on Biomedical Engineering, Vol.70, No.2, pp.723-734, 2023.

[17] W. Lan, R. Wang, Y. He, Y. Zong, Y. Leng, K. Iramina, W. Zheng, S. Ge, “Cross Domain Correlation Maximization for Enhancing the Target Recognition of SSVEP-Based Brain-Computer Interfaces”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol.31, pp.3545-3555, 2023.

[18] N. Sun*, Q. Lu, W. Zheng*, J. Liu, G. Han, “Unsupervised Cross-view Facial Expression Image Generation and Recognition,” IEEE Transactions on Affective Computing, Vol.14, No.1, pp.718-731, 2023.

[19] C. Lu, W. Zheng*, Hailun Lian, Y. Zong, C. Tang, S. Li, Y. Zhao, “Speech Emotion Recognition via an Attentive Time-Frequency Neural Network,” IEEE Transactions on Computational Social Systems, Vol.10, No.6, pp.3159-3168, 2023.

[20] G. Zhang, Y.-J. Liu*, X. Yan, G. Zhao, D. Zhang, W. Zheng*, “SparseDGCNN: Recognizing Emotion from Multichannel EEG Signals,” IEEE Transactions on Affective Computing, Vol.14, No.1, pp.537-548, 2023.

[21] S. Li, P. Song, W. Zheng, “Multi-Source Discriminant Subspace Alignment for Cross-Domain Speech Emotion Recognition”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol.31, pp.2448-2460, 2023.

[22] D. Chen, P. Song, W. Zheng, “Learning Transferable Sparse Representations for Cross-corpus Facial Expression Recognition”, IEEE Transactions on Affective Computing, Vol.14, No.2, pp.1322-1333, 2023.

[23] W. Zhang, P. Song, W. Zheng, “Joint Local-Global Discriminative Subspace Transfer Learning for Facial Expression Recognition,” IEEE Transactions on Affective Computing, Vol.14, No.2, pp.1322-1333, 2023.

[24] Y. Li, J. Chen, F. Li, B. Fu, H. Wu, Y. Ji, Y. Zhou, Y. Niu, G. Shi, W. Zheng, “GMSS: Graph-based multi-task self-supervised learning for EEG emotion recognition”, IEEE Transactions on Affective Computing, Vol.14, No.3, pp.2512-2525, 2023.

[25] J. Yan, G. Lu, X. Li, W. Zheng*, Z. Cui, H. Li, M. Chen, Y. Liu, J. Zhu, “FENP: A Database of Neonate Facial Expression for Pain Analysis,” IEEE Transactions on Affective Computing, Vol.14, No.3, pp.2484-2495, 2023.

[26] Y. Li, W. Zheng*, L. Wang, Y. Zong, Z. Cui, “From Regional Brain to Global Brain: A Novel Hierarchically Spatial-Temporal Neural Network Model for EEG Emotion Recognition,” IEEE Transactions on Affective Computing, Vol.13, No.2, pp.568-578, 2022.

[27] Q. Mao, L. Zhou, W. Zheng, X. Shao, X. Huang, “Objective Class-based Micro-expression Recognition under Partial Occlusion via Region-inspired Relation Reasoning Network,” IEEE Transactions on Affective Computing, Vol.13, No.4, pp.1998-2016, 2022.

[28] T. Song, W. Zheng*, S. Liu, Y. Zong, Z. Cui, Y. Li, “Graph Embeded Convolutional Neural Networks for Image-based EEG Emotion Recognition”, IEEE Transactions on Emerging Topics in Computing, Vol.10, No.3, pp.1399-1413, 2022.

[29] C. Lu, Y. Zong, W. Zheng*, Y. Li, C. Tang, B. Schuller, “Domain Invariant Feature Learning for Speaker-independent Speech Emotion Recognition”, IEEE Transactions on Audio, Speech, and Language Processing, Vol.30, pp.2217-2230, 2022.

[30] T. Zhang, Y. Zong*, W. Zheng*, C. Chen, X. Hong, C. Tang, Z. Cui, G. Zhao, “Cross-Database Micro-Expression Recognition: A Benchmark”, IEEE Transactions on Knowledge and Data Engineering, Vol.34, No.2, pp.544-559, 2022. 

[31] Y. Li, W. Zheng*, Y. Zong, Z. Cui, T. Zhang, X. Zhou, “A Bi-hemisphere domain adversarial neural network model for EEG emotion recognition,” IEEE Transactions on Affective Computing, Vol.12, No.2, pp.494-504, 2021.

[32] P. Song*, W. Zheng*, Y. Yu, S. Ou, “Speech Emotion Recognition Based on Robust Discriminative Sparse Regression,” IEEE Transactions on Cognitive and Developmental Systems, Vol.13, No.2, pp.343-353, 2021.

[33] Y. Li, L. Wang, W. Zheng*, Y. Zong, L. Qi, Z. Cui, T. Zhang, T. Song, “A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition”, IEEE Transactions on Cognitive and Developmental Systems, Vol.13, No.2, pp.354-367, 2021.

[34] T. Song, W. Zheng*, P. Song, Z. Cui, “EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks,” IEEE Transactions on Affective Computing, Vol.11, No.3, pp.532-541, 2020.

[35] J. Jiang, Z. Cui, C. Xu, T. Zhang, W. Zheng, J. Yang, “Walk-steered convolution for graph classification”, IEEE Transactions on Neural Networks and Learning Systems, Vol.31, No.11, pp.4553-4566, 2020.

[36] P. Song*, W. Zheng*, “Feature Selection Based Transfer Subspace Learning for Speech Emotion Recognition,” IEEE Transactions on Affective Computing, Vol.11, No.3, pp.373-382, 2020.

[37] T. Zhang, W. Zheng*, Z. Cui, Y. Zong, C. Li, X. Zhou, J. Yang, “Deep Manifold-to-Manifold Transforming Network for Skeleton-based Action Recognition,” IEEE Transactions on Multimedia, Vol.22, No.11, pp.2926-2937, 2020.

[38] Y. Zong, W. Zheng*, Z. Cui, G. Zhao, B. Hu, “Towards Bridging Micro-Expressions From Different Domains,” IEEE Transactions on Cybernetics, Vol.50, No.12, pp.5047-5060, 2020.

[39] C. Tang, W. Zheng*, Y. Zong, N. Qiu, C. Lu, X. Zhang, X. Ke*, C. Guan, “Automatic Identification of High-Risk Autism Spectrum Disorder: A Feasibility Study Using Video and Audio Data under the Still-Face Paradigm”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vo.28, No.11, pp.2401-2410, 2020.

[0] W. Zheng*, C. Lu, Z. Lin, T. Zhang, Z. Cui, W. Yang, “L1-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions,” IEEE Transactions on Neural Networks and Learning Systems, Vol.30, No.10, pp.2898-2915, 2019.

[41] Z. Cui, Y. Cai, W. Zheng*, C. Xu, J. Yang, “Spectral Filter Tracking,” IEEE Transactions on Image Processing, Vol.28, No.5, pp.2479-2489, 2019.

[42] T. Zhang, W. Zheng*, Z. Cui, Y. Zong, Y. Li, “Spatial-Temporal Recurrent Neural Network for Emotion Recognition,” IEEE Transactions on Cybernetics, Vol.49, No.3, pp.839-847, 2019.

[43] Z. Cui, S. Xiao, Z. Niu, S. Yan, W. Zheng*, “Recurrent Shape Regression,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.41, No.5, pp.1271-1278, 2019.

[44] X. Zhao, Y. Lin, L. Liu, J. Heikkila, W. Zheng, “Dynamic Texture Classification Using Unsupervised 3D Filter Learning and Local Binary Encoding,” IEEE Transactions on Multimedia, Vol.21, No.7, pp.1694-1708, 2019.

[45] S. Ge, Y. Jiang, P. Wang, H. Wang, W. Zheng*, “Training-free Steady-state Visual Evoked Potential Brain–computer Interface based on Filter Bank Canonical Correlation Analysis and Spatiotemporal Beamforming Decoding,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol.27, No.9, pp.1714-1723, 2019.

[46] W. Zheng*, Y. Zong, X. Zhou, M. 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.

[47] 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.

[48] 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.

[49] 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.

[50] 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.

[51] W. 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.

[52] T. Zhang, W. Zheng*, Z. Cui, Y. Zong, J. Yan, K. 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.

[53] 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.

[54] 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.

[55] Wenming Zheng, Z. Lin, and H. 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.

[56] 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.

[57] 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.

[58] 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.

[59] 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.

[60] Haixian Wang and 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.

[61] Haixian Wang, Sibao Chen, Zilan Hu, and Wenming Zheng, “Locality preserved maximum information projection”, IEEE Transactions on Neural Networks, vol.19, no.4, pp.571-585, 2008.

[62] 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.

[63] Wenming Zheng, Li Zhao, and Cairong Zou, “Foley-Sammon optimal discriminant vectors using kernel approach”, IEEE Transactions on Neural Networks, vol.16, no.1, pp.1-9, 2005.

[64] Wenming Zheng, “Class-incremental generalized discriminant analysis”, Neural Computation, vol.18, no.4, pp.979-1006, 2006.

[65] Wenming Zheng, Li Zhao, and Cairong Zou, “A modified algorithm for generalized discriminant analysis”, Neural Computation, vol.16, no.6, pp. 1283-1297, 2004.

会议论文：

[1] Mengting Wei, Xingxun Jiang, Wenming Zheng, Yuan Zong, and Cheng Lu, “CMNet: Contrastive Magnification Network for Micro-Expression Recognition,” in AAAI, 2023.

[2] Sunan Li, Hailun Lian, Cheng Lu, Yan Zhao, Chuangao Tang, Yuan Zong, and Wenming Zheng, “Multimodal Emotion Recognition in Noisy Environment Based on Progressive Label Revision,” in ACM Multimedia, 2023.

[3] Tengfei Song, Zijun Cui, Yuru Wang, Wenming Zheng, Qiang Ji,, “Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2021), pp.4845-4854, 2021.

[4] Tengfei Song, Zijun Cui, Wenming Zheng, Qiang Ji, “Hybrid Message Passing with Performance-driven Structures for Facial Action Unit Detection”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2021), pp.6267-6276, 2021.

[5] Tengfei Song, Lisha Chen, Wenming Zheng, Qiang Ji, “Uncertain Graph Neural Networks for Facial Action Unit Detection”, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-21), pp.5993-6001, 2021.

[6] Xingxun Jiang, Wenming Zheng, Chuangao Tang, Wanchuang Xia, Cheng Lu, Jiateng Liu, “DFEW: A Large-scale Database for Recognizing Dynamic Facial Expressions in the Wild,” ACM 28th Conference on Multimedia (ACM MM2020), pp.2881-2889, 2020.

[7] Tengfei Song, Suyuan Liu, Wenming Zheng, Yuan Zong, Zhen Cui, “Instance-Adaptive Graph for EEG Emotion Recognition”, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), pp.2701-2708, 2020.

[8] Tong Zhang, Zhen Cui, Chunyan Xu, Wenming Zheng, Jian Yang, “Variational Pathway Reasoning for EEG Emotion Recognition”, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), pp.2709-2716, 2020.

[9] Sunan Li, Wenming Zheng, Yuan Zong, Cheng Lu, Chuangao Tang, Xingxun Jiang, Jiateng Liu, Wanchuang Xia, “Bi-modality Fusion for Emotion Recognition in the Wild,” The 21th ACM International Conference on Multimodal Interaction (ICMI2019), pp.589-594, 2019. (竞赛冠军)

[10] Cheng Lu, Wenming Zheng, Chaolong Li, Chuangao Tang, Suyuan Liu, Yuan Zong, Simeng Yan, “Multiple Spatio-temporal Feature Learning for Video-based Emotion Recognition in the Wild,” The 20th ACM International Conference on Multimodal Interaction (ICMI2018), pp.646-652, 2018. (竞赛季军)

[11] 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.

[12] 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.

[13] 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.

[14] 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.

[15] 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)

[16] 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)

[17] Wenming Zheng, Hao Tang, Zhouchen Lin, and Thomas S. Huang, “Emotion recognition from arbitrary view facial images,” Proceedings of European Conference on Computer Vision (ECCV2010), pp.490-503, 2010.

[18] Wenming Zheng and Zhouchen Lin, “Optimizing multi-class spatio-spectral filters via Bayes error estimation for EEG classification”, in Advances of Neural Information Processing Systems (NIPS), 2009.

[19] Wenming Zheng, Hao Tang, Zhouchen Lin, and Thomas S. Huang, “A novel approach to expression recognition from non-frontal face images”, IEEE International Conference on Computer Vision (ICCV 2009), pp.1901-1908, 2009.

[20] 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.

1. 国家万人计划科技创新领军人才

2. 英国工程技术学会会士（IET Fellow）

3. IEEE计算机协会（IEEE Computer Society）最佳论文奖（2022年）；

4. IEEE情感计算汇刊（IEEE Transactions on Affective Computing）最佳论文奖（2021年）；

5. 国家技术发明奖二等奖（心理生理信息感知关键技术及应用，编号：2018-F-30901-2-03-R03，2018年12月），第三完成人；

6. 江苏省科学技术奖二等奖（高维情感特征的鲁棒子空间表示理论与方法，编号：2020-2-4-R1，2021年1月），第一完成人；

7. 教育部高等学校自然科学奖二等奖（鲁棒人脸视觉特征的提取、建模与识别的理论和方法研究，编号：2015-074，2016年2月），第一完成人；

8. 江苏省教育科学优秀成果奖二等奖（学前儿童自我控制与社会适应，2020年2月），第三完成人；

9. 江苏省科技进步二等奖（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，编号：2009-J-2-20-R5, 2010年1月），第五完成人

10. 教育部高等学校自然科学奖二等奖（情感特征分析与识别的理论与应用研究，2008-071， 2009年01月），第三完成人；

11. 江苏自然科学百篇优秀学术成果论文（2023年）；

12. 中国人工智能学会吴文俊人工智能优秀博士学位论文奖指导教师（2022年）；

13. 江苏省特聘教授（2019）

14. 江苏省杰出青年基金（2013）

15. 江苏省333工程中青年学术带头人（2011）

16. 东南大学首席教授（2024）

17. 东南大学青年特聘教授（2009）

18. 全国优秀博士学位论文提名奖（2007）

19. 江苏省优秀博士学位论文奖（2006）

20. 东南大学优秀青年教师教学科研资助计划（2006）

21. 首届微软青年教师奖（2006）

22. 教育部新世纪优秀人才支持计划（2005）

1.       宗源, 王非凡, 郑文明，“基于微弱强度感知增强的微表情识别方法及装置”， 2024106066307，2024-05-16.

2.       郑文明, 齐天铧, 宗源;路成, 连海伦, 赵焱, 李溯南, “基于多层级韵律特征的情感语音生成方法及装置”, 2024102004833, 2024-02-23

3.       宗源, 陈璐炜, 王非凡, 齐天铧, 邓丁凡, 李邦华, 顾予佳, 郑文明, “基于目标检测框架的大鼠面部疼痛自动识别方法及装置”, 2023116527540, 2023-12-05

4.       宗源, 王金岑, 郑文明, 赵焱, 路成, 连海伦, 唐传高, “基于LIDAN的跨库语音情感识别方法及装置”, 2023113730247, 2023-10-23

5.       郑文明, 王金岑, 宗源, 赵焱, 路成, 连海伦, 李溯南, “基于TSTRN的跨库语音情感识别方法及装置”, 2023113730196, 2023-10-23

6.       路成, 王拥, 郑文明, 宗源, 连海伦, 赵焱, “一种基于时序情感信息建模的语音情感识别方法及系统”, 2023113495849, 2023-10-18

7.       路成, 王拥, 郑文明, 宗源, 连海伦, 赵焱, “一种基于时频Transformer的语音情感识别方法及系统”, 2023113495868, 2023-10-18

8.       郑文明, 魏梦婷, 江星洵, 宗源, 路成, “样本自适应的微表情放大方法及装置”, 2022115622295, 2022-12-07

9.       宗源, 王非凡, 郑文明, “基于放大知识保持的微表情识别方法及装置”, 2022114391734, 2022-11-17

10.    宗源, 连海伦, 郑文明, 常洪丽, 路成, 唐传高, 赵焱, “基于CDAR模型的跨库语音情感识别方法及装置”, 202211010154X, 2022-08-23

11.    宗源, 连海伦, 郑文明, 常洪丽, 张佳成, 路成, 唐传高, “基于PDAN的跨库语音情感识别方法及装置”, 2022110101766, 2022-08-23

12.    宗源, 路成, 郑文明, 张佳成, 齐天铧, 唐传高, 赵焱, 连海伦, “基于渐进式迁移神经网络的跨库语音情感识别方法及装置”, 2022109566279, 2022-08-10

13.    郑文明, 李溯南, 宗源, 赵焱, 路成, 连海伦, “基于置信度显著分析的多尺度目标检测方法及装置”, 2022107588019, 2022-06-30

14.    宗源, 常洪丽, 郑文明, 路成, 唐传高, 赵焱, 朱洁, “基于CISF模型的跨库语音情感识别方法及装置”, 2022107480964, 2022-06-29

15.    郑文明, 魏梦婷, 宗源, 江星洵, 刘佳腾, 薛云龙，“基于对比放大网络的微表情识别方法及装置”，ZL202210605395.2，2022-05-31, 2024-06-07.

16.    宗源, 常洪丽, 郑文明, 路成, 朱洁, 唐传高, 赵焱, “基于隐式对齐子空间学习的跨库语音情感识别方法及装置”, 2022106053897, 2022-05-31

17.    郑文明, 路成, 宗源, 李溯南, 连海伦, 唐传高, 赵焱, “基于注意力时频网络的语音情感识别方法及系统”, 2022105349992, 2022-05-17

18.    郑文明, 赵焱, 宗源, 赵力, 路成, 连海伦, “基于深度直推式迁移网络的跨库语音情感识别方法及装置”, 2022105130966, 2022-05-12

19.    宗源, 宋宝林, 郑文明, 李克, 朱洁, 赵力，“基于双流卷积神经网络的跨库微表情识别方法及装置”，ZL202210246865.0，2022-03-14, 2024-08-02.

20.    郑文明, 魏梦婷, 江星洵, 宗源, 常洪丽, “基于稀疏化自注意力机制的微表情识别方法及系统”, 2022101960864, 2022-03-01

21.    郑文明, 李阳, 江星洵, 宗源, 李溯南，“基于可迁移注意力神经网络的脑电情感识别方法及装置”，ZL202010030240.1，2020-01-13, 2024-06-07.

22.    郑文明, 郑婉璐, 宗源，“基于多尺度差异对抗的跨数据库语音情感识别方法及装置”，ZL202011376020.0，2020-11-30, 2024-04-30.

23.    郑文明，徐啸林，宗源，赵力，“一种基于样本自修复的跨数据库表情识别方法”，ZL202111320516.0，2021-11-09, 2024-04-16.

24.    宗源, 朱洁, 郑文明, 唐传高, 路成, 常洪丽, 赵力，“基于视频时域动态注意力模型的微表情识别方法及装置”，ZL202111320516.0，2022-03-14, 2024-04-09.

25.    郑文明，路成，宗源，唐传高，李溯南，连海伦，赵力，“基于无监督领域对抗学习的说话人语音情感识别方法及系统”，ZL202110758039.X，2021-07-05, 2023-12-29

26.    郑文明，常洪丽，宗源，江星洵，唐传高，“基于空时特征融合模型的跨领域脑电情感识别方法及系统”，ZL 2021 1 1560169.9，2021-12-20, 2023-12-26

27.    郑文明，薛云龙，宗源，常洪丽，“基于自适应层次图神经网络的脑电情感识别方法及装置”，ZL 2021 1 1623708.9，2021-12-28, 2023-09-29

28.    宗源，江星洵，郑文明，李阳，路成，唐传高，李溯南，“基于域选择迁移回归的跨数据库微表情识别方法及装置”，ZL 2020 1 0030236.5，2020-01-13, 203-04-28

29.    郑文明，唐传高，柯晓燕，仇娜娜，闫思蒙，宗源，“基于视频表情行为分析的孤独症谱系障碍自动检测方法及装置”，ZL 2019 1 1053897.3，2019-10-31, 2023-04-07

30.    郑文明，李阳，江兴洵，宗源，“一种基于双半球差异性模型的脑电情感识别方法及装置”，ZL201911343069.3，2019-12-24, 2022-11-25.

31.    郑文明，魏梦婷，宗源，赵力，“一种基于注意力机制的自适应微表情识别方法”，ZL202110758045.5，2021-07-05, 2022-11-25.

32.    宗源, 朱洁, 郑文明, 宋宝林, 赵力，“一种基于稀疏共享迁移回归模型的跨库微表情识别方法”，ZL2020105780645，2020-05-08, 2022-11-15.

33.    宗源，刘佳腾，郑文明，唐传高，路成，李溯南，“基于双稀疏迁移学习的跨库微表情识别方法及装置”，ZL2020105780645，2020-06-23, 2022-11-08.

34.    郑文明，刘素媛，宋腾飞，宗源，“基于注意力机制的脑电信号情感判别方法及装置”，ZL201910747644.X，2019-08-14, 2022-09-23.

35.    郑文明，宋腾飞，刘素媛，宗源，“基于图片生成的脑电信号情感识别方法及装置”，ZL201910747637.X，2019-08-14, 2022-06-28.

36.    宗源，江林，张佳成，郑文明，江星洵，刘佳腾，“基于联合分布最小二乘回归的跨数据库语音情感识别方法及装置”，ZL202010372728.2，2020-05-06, 2022-06-28.

37.    杨万扣，葛涌涛，郑文明，“基于迁移学习的人脸和人脸关键点联合检测方法”，ZL201910867602X，2019-09-13, 2022-06-14.

38.    郑文明，郑婉璐，宗源，路成，“一种基于领域对抗的语音情感识别方法及装置”，ZL201911343276.9，2019-12-24, 2022-03-08.

39.    郑文明，闫思蒙，柯晓燕，唐传高，宗源，“一种基于非接触式设备的视线落点检测方法”，ZL201910549413.8，2019-06-24, 2022-03-04.

40.    郑文明，夏万闯，宗源，江星洵，路成，刘佳腾， “基于光流注意力神经网络的跨库微表情识别方法及装置”，201910756936.X，2019-08-16, 2022-02-11.

41.    郑文明，江星洵，宗源，夏万闯，“基于人脸局部区域特征学习的跨库微表情识别方法及装置”，ZL201910706550.8, 2019-08-01, 2021-11-26.

42.    赵力, 徐新洲, 郑文明, 邓军, 黄程韦, 魏昕, 李燕, 吴尘, 塔什甫拉提.尼扎木丁, 赵突, 余华, 邹采荣，“一种基于局部惩罚随机谱回归的语音信号情感识别方法”，ZL201711055574.9, 2017-10-31, 2021-09-28.

43.    郑文明，刘佳腾，宗源，路成，“一种基于深度域适应性卷积神经网络的跨库语音情感识别方法”，ZL201910583878.5, 2019-07-01, 2021-07-27.

44.    宗源，李克，郑文明，赵力，宋宝林，朱洁，“基于三流卷积神经网络的微表情识别方法及系统”，ZL201910468036.5，2019-05-31, 2021-02-09.

45.    宋腾飞，郑文明，“头控式体感鼠标”，ZL201710279973.7，2017-04-26, 2020-02-18.

46.    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”，ZL201510439601.7，2018-06-01.

47.    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”，201410437529.X，ZL201410437529.X，2014-08-29，2017-05-31

48.    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”，201310261775.X，ZL201310261775.X，2014-06-26，2017-05-24

49.    查诚，黄程韦，赵力，“一种基于情感数据场的连续语音情感预测方法”，201410283309.6，ZL201410283309.6，2014-06-23，2017-02-15

50.    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”，201410078383.4，ZL201410078383.4，2014-03-05，2016-08-24

51.    郑文明，徐新洲，赵力，魏昕，余华，黄程韦，刘健刚，“一种基于核半监督判别分析的语音情感识别方法”，201310549224.3，ZL201310549224.3，2013-11-07，2016-09-07

52.    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”，201210268730.0，ZL201210268730.0，2012-07-31，2016-06-29

53.    罗琳，赵力，郑文明，黄山，杨明，“一种儿童坐姿监控智能终端”，201410004035.2，ZL201410004035.2，2014-01-03，2015-10-14

54.    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”，201210218216.6，ZL201210218216.6，2012-06-28，2015-06-17

55.    黄程韦，王峻，吴斌，秦海波，赵力，魏昕，王浩，“一种基于短时记忆权重融合的航天应激情感识别方法”，201310534910.3，ZL201310534910.3，2013-11-01，2016-08-03

56.    赵力，刘汝杰，黄程韦，魏昕，包永强，余华，阴法明，“一种跨语言的语音情感识别方法”，201210256381.0，ZL201210256381.0，2012-07-24，2016-04-27

57.    赵力，刘汝杰，黄程韦，魏昕，包永强，余华，阴法明，“负面情绪检测中的基于上下文修正的语音情感识别方法”，201210256326.1，ZL201210256326.1，2012-07-24，2016-04-27

58.    黄程韦，赵力，魏昕，王浩，查诚，余华，“一种基于伪说话人聚类的语音情感特征规整化方法”，201310534319.8，ZL201310534319.8，2013-11-01，2016-03-23

59.    黄程韦; 赵力; 魏昕; 包永强; 余华，“基于特征空间自适应投影的语音情感识别方法”，201210250571.1，ZL201210250571.1，2012-07-19，2013-12-18

60.    宋鹏，赵力，金赟，“基于说话人模型对齐的非对称语音库条件下的语音转换方法”，201410399475.2，ZL201410399475.2，2014-08-14，2017-03-08

61.    宋鹏; 包永强; 赵力; 刘健刚，“基于自适应算法的非对称语料库条件下的语音转换方法”，201310146293.X，ZL201310146293.X，2013-04-24，2015-09-16

每年招收生物科学与医学工程学院和信息科学与工程学院1-2名博士生和3-5名硕士生，如果您希望在此攻读博士或硕士学位，请联系我。