Wenming Zheng‘s Publications

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. 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
  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. 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
  4. Zhen Cui, Youyi Cai, Wenming Zheng, Chunyan Xu, Jian Yang, “Spectral Filter Tracking,” IEEE Transactions on Image Processing, 2018. DOI: 10.1109/TIP.2018.2886788
  5. Wenming Zheng, “Multichannel EEG-Based Emotion Recognition via Group Sparse Canonical Correlation Analysis,” IEEE Transactions on Cognitive and Developmental Systems, Vol.19, No.3, pp.281-290, 2017.
  6. 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.
  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. 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
  12. 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.
  13. Yuan Zong, Xiaohua Huang, Wenming Zheng, Zhen Cui, Guoying Zhao, “Learning from Hierarchical Spatiotemporal Descriptors for Micro-Expression Recognition,” IEEE Transactions on MultimediaVol.20, No.11, pp.3160-3172, 2018.
  14. 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.
  15. Tengfei Song, Wenming Zheng, Cheng Lu, Yuan Zong, Xilei Zhang, Zhen Cui, “MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion Recognition,” IEEE Access, 2018. DOI: 10.1109/ACCESS.2019.2891579
  16. 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.
  17. 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, Vol.31, No.3, pp.447-467, 2018.
  18. Yang Li, Wenming Zheng, Zhen Cui, Tong Zhang, “Face Recognition based on Recurrent Regression Neural Network,” Neurocomputing, Vol.297, pp.50-58, 2018.
  19. Keyu Yan, Wenming Zheng, Zhen Cui, Yuan Zong, Tong Zhang, Chuangao Tang, “Unsupervised Facial Expression Recognition Using Domain Adaptation based Dictionary Learning Approach,” Neurocomputing, Vol.319, pp.84-91, 2018.
  20. Jingwei Yan, Wenming Zheng, Zhen Cui, Chuangao Tang, Tong Zhang, “Multi-cue fusion for emotion recognition in the wild,” Neurocomputing, Vol.309, pp.27-35, 2018.
  21. Yang Li, Wenming Zheng, Zhen Cui, Yuan Zong, Sheng Ge, “EEG Emotion Recognition Based on Graph Regularized Sparse Linear Regression,” Neural Processing Letters, 2018.
  22. Jingwei Yan, Wenming Zheng, Zhen Cui, Peng Song, “A Joint Convolutional Bidirectional LSTM Framework for Facial Expression Recognition,” IEICE Transactions on Information and Systems, Vol.E101-D, No.4, pp.1217-1220, 2018.
  23. Suhao Peng, Yue Leng, Sheng Ge, Dan Tao, Mengyuan Ding, Wenming Zheng, Huihua Deng, “Modulation of behavioral and brain responses to visual perspective taking by social rejection: Evidence from electrophysiology,” International Journal of Psychophyiology, Vol.134, pp.135-143, 2018.
  24. Jianlong Wu, Zhouchen Lin, Wenming Zheng, Hongbin Zha, “Locality-constrained linear coding based bi-layer model for multi-view facial expression recognition,” Neurocomputing, Vol.239, pp.143-152, 2017.
  25. Peng Song, Shifeng Ou, Zhenbin Du, Yanyan Guo, Jinglei LIU, Wenming Zheng, “Learning corpus-invariant discriminant feature representations for speech emotion recognition,” IEICE Transactions on Information and Systems, Vol.100, No.5, pp.1136-1139, 2017.
  26. Wankou Yang, Changyin Sun, Wenming Zheng, Karl Ricanek, “Gender classification using 3D statistical models,” Multimedia tools and applications, Vol.76, No.3, pp.4491-4503, 2017.
  27. 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.
  28. 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.
  29. Yuan Zong, Wenming Zheng, Tong Zhang, Xiaohua Huang, “Cross-Corpus Speech Emotion Recognition Based on Domain-Adaptive Least-Squares Regression,” IEEE Signal Processing Letters, Vol.23, No.5, pp.585-589, 2016.
  30. Yuan Zong, Wenming Zheng, Xiaohua Huang, Keyu Yan, Jingwei Yan, Tong Zhang, “Emotion recognition in the wild via sparse transductive transfer linear discriminant analysis,” Journal on Multimodal User Interfaces, Vol.10, No.2, pp.163-172, 2016.
  31. Ping Lu, Wenming Zheng, Ziyan Wang, Qiang Li, Yuan Zong, Minghai Xin, Lenan Wu, “Micro-expression Recognition by Regression Model and Group Sparse Spatio-temporal Feature Learning,” IEICE Transactions on Information & Systems, Vol.E99-D,No.6, 2016.
  32. Yuan Zong, Wenming Zheng, Zhen Cui, Qiang Li, “A double sparse learning model for speech emotion recognition,” Electronics Letters, Vol.52, No.16, pp.1410-1412, 2016.
  33. Peng Song, Wenming Zheng, Shifeng Ou, Xinran Zhang, Yun Jin, Jinglei Liu, Yanwei Yu, “Cross-corpus speech emotion recognition based on transfer non-negative matrix factorization,” Speech Communication, Vol.83, pp.34-41, 2016.
  34. Xiaohua Huang, Guoying Zhao, Xiaopeng Hong, Wenming Zheng, Matti Pietikainen, “Spontaneous Facial Micro-expression Analysis using Spatiotemporal Completed Local Quantized Patterns”, Neurocomputing, Vol.175, pp. 564-578, 2016.
  35. Wankou Yang, Changyin Sun, Wenming Zheng, “A regularized least square based discriminative projections for feature extraction,” Neurocomputing, Vol.175, pp.198-205, 2016.
  36. Peng Song, Wenming Zheng, Ruiyu Liang, “Speech Emotion Recognition Based on Sparse Transfer Learning Method,” IEICE Transactions on Information & Systems,98-D(7):1409-1412 (2015)
  37. Peng Song, Wenming Zheng, Xinran Zhang, Yun Jin, Cheng Zha, Minghai Xin, “A Novel Iterative Speaker Model Alignment Method from Non-Parallel Speech for Voice Conversion,”IEICE Transactions on Information & Systems, 98-A(10):2178-2181 (2015)
  38. 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.
  39. 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 System, vol. 25, no. 4, pp 793-805, 2014.
  40. Wenming Zheng, Minghai Xin, Xiaolan Wang, Bei Wang, “A novel speech emotion recognition method via incomplete sparse least square regression,” IEEE Signal Processing Letters, vol.21, no.5, pp.569-572, 2014.
  41. 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.
  42. Haixian Wang, Wenming Zheng, “Robust sparsity-preserved learning with application to image visualization,”Knowledge and Information Systems, vol.39, no.2, pp.287-304, 2014.
  43. Jingjie Yan, Wenming Zheng, Minghai Xin, Jingwei Yan, “Integrating facial expression and body gesture in videos for emotion recognition,” IEICE Transactions on Information and Systems, vol.E97-D, no.3, pp.610-613, 2014.
  44. Jingjie Yan, Wenming Zheng, Minghai Xin, Jingwei Yan,”Facial Expression Recognition Based on Sparse Locality Preserving Projection,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol.97, No.7, pp.1650-1653, 2014.
  45. Gui-Fu Lu, and Wenming Zheng, “Complexity-reduced implementations of complete and null-space-based linear discriminant analysis,” Neural Networks, vol.46, pp.165-171, 2013.
  46. Yun Jin, Peng Song, Wenming Zheng, Li Zhao, Minghai Xin, “Speaker-independent speech emotion recognition based on two-layer multiple kernel learning”, IEICE Transactions on Information and Systems, vol.96, no.10, pp.2286-2289, 2013.
  47. 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.
  48. Wenming Zheng, Zhouchen Lin “A new discriminant subspace analysis approach for multi-class problems,” Pattern Recognition, Vol.45, No.4, pp.1426-1435, 2012.
  49. Xiaohua Huang, Guoying Zhao, Wenming Zheng, Matti Pietikainen, “Towards a dynamic expression recognition system under facial occlusion,” Pattern Recognition Letters, vol.33, pp.2181-2191, 2012.
  50. Xiaohua Huang, Guoying Zhao, Wenming Zheng, Matti Pietikainen, “Spatiotemporal local monogenic binary patterns for facial expression recognition,” IEEE Signal Processing Letters, vol.19, no.5, pp.243-246, 2012.
  51. Jingjie Yan, Wenming Zheng, Zhijian Zhao, and Xiaoyan Zhou, “Sparse 2-D canonical correlation analysis via low rank matrix approximation for feature extraction”, IEEE Signal Processing Letters, vol.19, no.1, pp.51-54, 2012.
  52. 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.
  53. 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.
  54. Wenming Zheng, “Heteroscedastic Feature Extraction for Texture Classification”, IEEE Signal Processing Letters, Vol.16, No.9, pp.766-769, 2009.
  55. 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.
  56. 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.
  57. Wenming Zheng, “Class-Incremental Generalized Discriminant Analysis”, Neural Computation, Vol.18, No.4, pp.979-1006, 2006.
  58. 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.
  59. 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.
  60. Wenming Zheng, “A Note on Kernel Uncorrelated Discriminant Analysis”, Pattern Recognition, Vol.38 No.11, pp.2185-2187, 2005.
  61. Wenming Zheng, Cairong Zou, and Li Zhao, “Weighted Maximum Margin Discriminant Analysis with Kernels”,Neurocomputing, Vol.67, pp.357-362, 2005.
  62. Wenming Zheng, Cairong Zou, and Li Zhao, “An Improved Algorithm for Kernel Principal Component Analysis”,Neural Processing Letters, Vol.22, pp.49-56, 2005.
  63. Wenming Zheng, Li Zhao, and Cairong Zou, “A Modified Algorithm for Generalized Discriminant Analysis”, Neural Computation, Vol.16, No.6, pp. 1283-1297, 2004.
  64. Wenming Zheng, Li Zhao, and Cairong Zou, “Locally Nearest Neighbor Classifiers for Pattern Classification”, Pattern Recognition, Vol.37, No.6, pp.1307-1309, 2004.
  65. Wenming Zheng, Li Zhao, and Cairong Zou, “An efficient algorithm to solve the small sample size problem for LDA ”, Pattern Recognition, Vol.37, No.5, pp.1077-1079, 2004.

Conference Papers

  1. Yang Li, Wenming Zheng, Zhen Cui, Tong Zhang, Yuan Zong, “A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition,” 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), 2018.
  3. Zhen Cui, Chunyan Xu, Wenming Zheng, Jian Yang, “Context-depedent Diffusion Network for Visual Relationship Detection,” ACM Multimedia Conference (ACM MM2018), pp.1475-1482, 2018.
  4. 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.
  5. Chuangao Tang, Wenming Zheng, et al., “Automatic Smile Detection of Infants in Mother-Infant Interaction via CNN-based Feature Learning”, Joint Workshop of 4th Workshop on Affective Social Multimedia Computing and first Multi-Modal Affective Computing of Large-Scale Multimedia Data Workshop (ASMMC-MMAC 2018), pp.35-40, 2018.
  6. Tong Zhang, Wenming Zheng, Zhen Cui, Chaolong Li, “Deep manifold-to-manifold transforming network,” IEEE International Conference on Image Processing (ICIP), pp.4098-4102, 2018.
  7. Peng Song, Wenming Zheng, Shifeng Ou, Yun Jin, Wenming Ma, Yanwei Yu, “Joint Transfer Subspace Learning and Feature Selection for Cross-corpus Speech Emotion Recognition,” International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), Calgary, Canada, pp.5504-5508, 2018.
  8. 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.
  9. 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)
  10. 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.
  11. Yang Li, Wenming Zheng, Zhen Cui and Xiaoyan Zhou, “A Novel Graph Regularized Sparse Linear Discriminant Analysis Model for EEG Emotion Recogntion,” International Conference on Neural Information Processing (ICONIP), pp.175-182, 2016.
  12. Keyu Yan, Wenming Zheng, Zhen Cui and Yuan Zong, “Cross-Database Facial Expression Recognition via Unsupervised Domain Adaptive Dictionary Learning,” International Conference on Neural Information Processing (ICONIP), pp.427-434, 2016.
  13. Youyi Cai, Wenming Zheng, Tong Zhang, Qiang Li, Zhen Cui, Jiayin Ye, “Video based emotion recognition using CNN and BRNN,” Chinese Conference on Pattern Recognition (CCPR), pp.679-691, 2016.
  14. Peng Song, Shifeng Ou, Wenming Zheng, Yun Jin, Li Zhao, “Speech emotion recognition using transfer non-negative matrix factorization,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5180-5184, 2016.
  15. Peng Song, Xinran Zhang, Shifeng Ou, Jingjing Liu, Yanwei Yu, Wenming Zheng, “Cross-corpus speech emotion recognition using transfer semi-supervised discriminant analysis,” International Symposium on Chinese Spoken Language Processing (ISCSLP), pp.1-5, 2016.
  16. Xinzhou Xu, Jun Deng, Wenming Zheng, Li Zhao, Björn W. Schuller, “Dimensionality reduction for speech emotion features by multiscale kernels,” Interspeech, pp.1532-1536, 2015.
  17. Wenming Zheng, Xiaoyan Zhou, “Cross-pose color facial expression recognition using transductive transfer linear discriminant analysis,” IEEE international Conference on Image Processing (ICIP), pp.1935-1939, 2015.
  18. Wenming Zheng, Xiaoyan Zhou, Minghai Xin, “Color facial expression recognition basd on color local features,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1528-1532, 2015.
  19. Yuan Zong, Wenming Zheng, Xiaohua Huang, et al., “Transductive Transfer LDA with Riesz-based Volume LBP for Emotion Recognition in The Wild,” ACM International Conference on Multimodal Interaction (ICMI 2015), pp.491-496, 2015.
  20. Peng Song, Yun Jin, Wenming Zheng, Li Zhao, “Text-independent voice conversion using speaker model alignment method from non-parallel speech,” Interspeech, pp.2308-2312, 2014.
  21. Jun Jin, Peng Song, Wenming Zheng, Li Zhao, “A feature selection and feature fusion combination Method for speaker-independent speech emotion recognition”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), pp.4808-4812, 2014.
  22. Xiaohua Huang, Guoying Zhao, Wenming Zheng, Matti Pietikäinen, “Robust facial expression recognition using revised canonical correlation,” IEEE International Conference on Pattern Recognition (ICPR2014), pp.1734-1739, 2014.
  23. Peng Song, Wenming Zheng, Li Zhao, “Non-parallel training for voice conversion based on adaptation method,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), pp.6905-6909, 2013.
  24. Wenming Zheng, and Xiaoyan Zhou, “Speech Emotion Recognition Based on Kernel Reduced-rank Regression”, IEEE International Conference on Pattern Recognition (ICPR), pp.1972-1976, 2012.
  25. Xiaoyan Zhou, Wenming Zheng, and Minghai Xin, “Improving CCA via spectral components selection for facial expression recognition,” IEEE International Symposium on Circuits & Systems (ISCAS), pp.1696-1699, 2012.
  26. 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.
  27. 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)
  28. 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.
  29. 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.
  30. Wenming Zheng, and Xiaoou Tang, “A robust algorithm for generalized orthonormal discriminant vectors”, IEEE International Conference on Pattern Recognition (ICPR), pp.784-787, 2006.
  31. Ning Sun, Wenming Zheng, Changyin Sun, Cairong Zou, and Li Zhao, “Gender classification based on boosting local binary pattern,” International Symposium on Neural Networks, Lecture Notes in Computer Science, Vol.3972, pp.194-201, 2006.
  32. Yujia Cao, Wenming Zheng, Li Zhao, and Cairong Zou, “Expression Recognition Using Elastic Graph Matching,” International Symposium on Neural Networks, Lecture Notes in Computer Science, 3784: 8-15, 2005.
  33. Wenming Zheng, Xiaoyan Zhou, Cairong Zou, and Li Zhao, “Facial expression recognition using kernel discriminant plane,” International Symposium on Neural Networks, Lecture Notes In Computer Science, Vol.3173, pp.947-952, 2004.
  34. Wenming Zheng, Cairong Zou, and Li Zhao, “Real-time face recognition using Gram-Schmidt orthogonalization for LDA”, IEEE International Conference on Pattern Recognition (ICPR), pp.403-406, 2004.
  35. Wenming Zheng, Cairong Zou, and Li Zhao, “Face recognition using two novel nearest neighbor classifiers”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.725-728, 2004.

 
 
Last Modified: 2019-01-12

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