2018

  • Conference Papers
  1. Tong Zhang, Wenming Zheng, Zhen Cui, Chaolong Li, “Deep Manifold-to-Manifold Transforming Network,” ICIP, 2018.
  2. Yang Li, Wenming Zheng, Zhen Cui, Yuan Zong, Tong Zhang, “A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition,” IJCAI, 2018.
  3. Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Jian Yang, “Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition,” AAAI, 2018.
  4. Na Liu, Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu, “Unsupervised Cross-Corpus Speech Emotion Recognition Using Domain-Adaptive Subspace Learning,” ICASSP, 2018.
  5. Na Liu, Baofeng Zhang, Yuan Zong, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu, “Super Wide Regression Network for Unsupervised Cross-Database Facial Expression Recognition,” ICASSP, 2018.
  • Journal Articles
  1. Zhen Cui, Shengtao Xiao, Zhiheng Niu, Shuicheng Yan, Wenming Zheng, “Recurrent Shape Regression,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 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 (TNNLS), 2018. (conditionally accepted)
  3. Yang Li, Wenming Zheng, Zhen Cui, Yuan Zong, Sheng Ge, “EEG Emotion Recognition Based on Graph Regularized Sparse Linear Regression,” Neural Processing Letters, 2018.
  4. Yuan Zong, Xiaohua Huang, Wenming Zheng, Zhen Cui, Guoying Zhao, “Learning from Hierarchical Spatiotemporal Descriptors for Micro-Expression Recognition,” IEEE Transactions on Multimedia (TMM), 2018. DOI: 10.1109/TMM.2018.2820321
  5. Tengfei Song, Wenming Zheng, Peng Song, Zhen Cui, “EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks,” IEEE Transactions on Affective Comuting (TAC), 2018. DOI: 10.1109/TAFFC.2018.2817622
  6. Peng Song, Wenming Zheng, “Feature Selection Based Transfer Subspace Learning for Speech Emotion Recognition,” IEEE Transactions on Affective Computing (TAC), 2018. DOI: 10.1109/TAFFC.2018.2800046
  7. Yang Li, Wenming Zheng, Zhen Cui, Tong Zhang, “Face Recognition Based on Recurrent Regression Neural Network,” Neurocomputing, vol. 297, pp. 50-58, 2018.
  8. Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Rongrong Ji, Jian Yang, “Action-Attending Graphic Neural Network,” IEEE Transactions on Image Processing (TIP), vol. 27, no. 7, pp. 3657-3670, 2018.
  9. Jingang Shi, Xin Liu, Yuan Zong, Chun Qi, Guoying Zhao, “Hallucinating Face Image by Regularizatin Models in High-Resolution Feature Space,” IEEE Transactions on Image Processing (TIP), vol. 27, no. 6, pp. 2980-2995, 2018.
  10. 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 (TIP), vol. 27, no. 5, pp. 2484-2498, 2018.
  11. 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.
  12. 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. 101, no. 4, pp. 1217-1220, 2018.
  13. Wenming Zheng, Yuan Zong, Xiaoyan Zhou, Minghai Xin, “Cross-Domain Color Facial Expression Recognition Using Transductive Transfer Subspace Learning,” IEEE Transactions on Affective Computing (TAC), vol. 9, no. 1, pp. 21-37, 2018.

2017

  • Conference Papers
  1. Yuan Zong, Xiaohua Huang, Wenming Zheng, Zhen Cui, Guoying Zhao, “Learning a Target Sample Re-Generator for Cross-Database Micro-Expression Recognition,” ACM Multimedia, 2017.
  2. Chuangao Tang, Wenming Zheng, Jingwei Yan Qiang Li, Yang Li, Tong Zhang, Zhen Cui, “View-independent Facial Action Detection,” IEEE FG, 2017. (竞赛冠军)
  • Journal Articles
  1. 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.
  2. Zhen Cui, Zhiheng Niu, Luoqi Liu, Shuicheng Yan, “Layerwise Class-Aware Convolutional Neural Network,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 12, pp. 2601-2612, 2017.
  3. 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.
  4. Sheng Ge, Yanhua Shi, Ruimin Wang, Pan Lin, Junfeng Gao, Gaopeng Sun, Keiji Iramina, Yuankui Yang, Yue Leng, Haixian Wang, Wenming 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
  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. 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.
  7. Peng Song, Shifeng Ou, Zhenbin Du, Yanyan Guo, Wenming Ma, Jinglei Liu, Wenming Zheng, “Learning Corpus-Invariant Discriminant Feature Representations for Speech Emotion Recognition,” IEICE Transactions on Information & Systems, vol. E100.D, no. 5, pp. 1136-1139, 2017.
  8. 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.

2016

  • Conference Papers
  1. Zhen Cui, Shengtao Xiao, Jiashi Feng, Shuicheng Yan, “Recurrently Target-Attending Tracking,” CVPR, 2016. [pdf]
  2. Youyi Cai, Wenming Zheng, Tong Zhang, Qiang Li, Zhen Cui, Jiayin Ye, “Video Based Emotion Recognition Using CNN and BRNN,” CCPR, 2016.
  3. Jingwei Yan, Wenming Zheng, Zhen Cui, Chuangao Tang, Tong Zhang, Yuan Zong, Ning Sun, “Multi-Clue Fusion for Emotion Recognition in the Wild,” ACM ICMI, 2016.
  4. Peng Song, Xinran Zhang, Shifeng Ou, Jingjing Liu, Yanwei Yu, Wenming Zheng, “Cross-corpus Speech Emotion Recognition Using Transfer Semi-Supervised Discriminant Analysis,” ISCSLP, 2016.
  5. Yang Li, Wenming Zheng, Zhen Cui, Xiaoyan Zhou, “A Novel Graph Regularized Sparse Linear Discriminant Analysis Model for EEG Emotion Recogntion,” ICONIP, 2016.
  6. Keyu Yan, Wenming Zheng, Zhen Cui, Yuan Zong, “Cross-Database Facial Expression Recognition via Unsupervised Domain Adaptive Dictionary Learning,” ICONIP, 2016.
  7. Jie Zhu, Hao Zheng, Hong Zhao, Wenming Zheng, “Discriminative Low-Rank Linear Regression (DLLR) for Facial Expression Recognition,” CCBR, 2016.
  8. Peng Song, Shifeng Ou, Wenming Zheng, Yun Jin, Li Zhao, “Speech Emotion Recognition Using Transfer Non-Negative Matrix Factorization,” ICASSP, 2016.
  • Journal Articles
  1. 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.
  2. 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.
  3. Peng Song, Shifeng Ou, Xinran Zhang, Yun Jin, Wenming Zheng, Jinglei Liu, Yanwei Yu, “Transfer Semi-Supervised Non-Negative Matrix Factorization for Speech Emotion Recognition,” IEICE Transactions on Information and Systems, vol. 99, no. 10, pp. 2647-2650, 2016.
  4. 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.
  5. Yuan Zong, Wenming Zheng, Zhen Cui, Qiang Li, “Double Sparse Learning Model for Speech Emotion Recognition,” Electronics Letters, vol. 52, no. 16, pp. 1410-1412, 2016.
  6. 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. 99-D, no. 6, pp. 1694-1697, 2016.
  7. 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.
  8. 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.
  9. Xiaohua Huang, Guoying Zhao, Xiaopeng Hong, Wenming Zheng, Matti Pietikäinen, “Spontaneous Facial Micro-Expression Analysis Using Spatiotemporal Completed Local Quantized Patterns,” Neurocomputing , vol. 175, pp. 564-578, 2016.
  10. Wankou Yang, Changyin Sun, Wenming Zheng, “A regularized Least Square Based Discriminative Projections for Feature Extraction,” Neurocomputing, vol. 175, pp. 198-205, 2016.
2015
  • Conference Papers
  1. Peng Song, Wenming Zheng, Jingjing Liu, Jing Li, Xinran Zhang, “A Novel Speech Emotion Recognition Method via Transfer PCA and Sparse Coding,” CCBR, 2015.
  2. Yuan Zong, Wenming Zheng, Xiaohua Huang, Jingwei Yan, Tong Zhang, “Transductive Transfer LDA with Riesz-based Volume LBP for Emotion Recognition in The Wild,” ICMI, 2015.
  3. Wenming Zheng, Xiaoyan Zhou, “Cross-pose Color Facial Expression Recognition Using Transductive Transfer Linear Discriminat Analysis,” ICIP, 2015.
  4. Wenming Zheng, Xiaoyan Zhou, Minghai Xin, “Color Facial Expression Recognition Based on Color Local Features,” ICASSP, 2015.
  5. Xinzhou Xu, Jun Deng, Wenming Zheng, Li Zhao, Björn W. Schuller, “Dimensionality Reduction for Speech Emotion Features by Multiscale Kernels,” INTERSPEECH, 2015.
  • Journal Articles
  1. 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 Fundamentals of Electronics, Communications and Computer Sciences, vol. 98-A, no. 10, pp. 2178-2181, 2015.
  2. Peng Song, Wenming Zheng, Ruiyu Liang, “Speech Emotion Recognition Based on Sparse Transfer Learning Method,” IEICE Transactions on Information and Systems, vol. 98-D, no. 7, pp. 1409-1412, 2015.
  3. Bineng Zhong, Yingju Shen, Yan Chen, Weibo Xie, Zhen Cui, Hongbo Zhang, Duansheng Chen, Tian Wang, Xin Liu, Shu-Juan Peng, Jin Gou, Jixiang Du, Jing Wang, Wenming Zheng, “Online Learning 3D Context for Robust Visual Tracking,” Neurocomputing, vol. 151, pp. 710-718, 2015.
2014
  • Conference Papers
  1. Xiaohua Huang, Guoying Zhao, Matti Pietikäinen, Wenming Zheng, “Robust Facial Expression Recognition Using Revised Canonical Correlation,” ICPR, 2014.
  2. Yun Jin, Peng Song, Wenming Zheng, Li Zhao, “A Feature Selection and Feature Fusion Combination Method for Speaker-independent Speech Emotion Recognition,” ICASSP, 2014.
  3. Peng Song, Yun Jin, Wenming Zheng, Li Zhao, “Text-independent Voice Conversion Using Speaker Model Alignment Method from Non-parallel Speech,” INTERSPEECH, 2014.
  • Journal Articles
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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. 97-D, no. 3, pp. 610-613, 2014.
  6. 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-A, no. 7, pp. 1650-1653, 2014.
  7. 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.
2013
  • Conference Papers
  1. Xiaohua Huang, Guoying Zhao, Xiaopeng Hong, Matti Pietikäinen, Wenming Zheng, “Texture Description with Completed Local Quantized Patterns,” SCIA, 2013.
  2. Peng Song, Wenming Zheng, Li Zhao, “Non-parallel Training for Voice Conversion Based on Adaptation Method,” ICASSP, 2013.
  • Journal Articles
  1. Minghua Wan, Wenming Zheng, “Fuzzy Two-dimensional Local Graph Embedding Discriminant Analysis (F2DLGEDA) with its Application to Face and Palm Biometrics,” Neural Computing and Applications, vol. 23, no. 1, pp. 201-207, 2013.
  2. 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-D, no. 10, pp. 2286-2289, 2013.
  3. Guifu Lu, Wenming Zheng, “Complexity-reduced Implementations of Complete and Null-space-based Linear Discriminant Analysis,” Neural Networks, vol. 46, pp. 165-171, 2013.
2012
  • Conference Papers
  1. Wenming Zheng, Xiaoyan Zhou, “Speech Emotion Recognition Based on Kernel Reduced-rank Regression,” ICPR, 2012.
  2. Xiaoyan Zhou, Wenming Zheng, Minghai Xin, “Improving CCA via Spectral Components Selection for Facial Expression Recognition,” ISCAS, 2012.
  • Journal Articles
  1. Xiaohua Huang, Guoying Zhao, Wenming Zheng, Matti Pietikäinen, “Towards a Dynamic Expression Recognition System Under Facial Occlusion,” Pattern Recognition Letters, vol. 33, no. 16, pp. 2181-2191, 2012.
  2. Xiaohua Huang, Guoying Zhao, Wenming Zheng, Matti Pietikäinen, “Spatiotemporal Local Monogenic Binary Patterns for Facial Expression Recognition,” IEEE Signal Processing Letters, vol. 19, no. 5, pp. 243-246, 2012.
  3. Wenming Zheng, Zhouchen Lin, “A New Discriminant Subspace Analysis Approach for Multi-class Problems,” Pattern Recognition, vol. 45, no. 4, pp. 1426-1435, 2012.
  4. 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.
  5. Jingjie Yan, Wenming Zheng, Xiaoyan Zhou, Zhijian Zhao, “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.
2011
  • Conference Papers
  1. Xiaohua Huang, Guoying Zhao, Matti Pietikäinen, Wenming Zheng, “Expression Recognition in Videos Using a Weighted Component-Based Feature Descriptor,” SCIA, 2011.
2010
  • Conference Papers
  1. Xiaohua Huang, Guoying Zhao, Matti Pietikäinen, Wenming Zheng, “Dynamic Facial Expression Recognition Using Boosted Component-Based Spatiotemporal Features and Multi-classifier Fusion,” ACIVS, 2010.
  2. Wenming Zheng, Hao Tang, Zhouchen Lin, Thomas S. Huang, “Emotion Recognition from Arbitrary View Facial Images,” ECCV, 2010.
  • Journal Articles
  1. Wenming Zheng, Zhouchen Lin, 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.
  2. Xiaohua Huang, Chunmao Wang, Wenming Zheng, “An Information Fusion and Recognition Method for color Face Images,” Journal of Image and Graphics, vol.3, 2010.
2009
  • Conference Papers
  1. Xiaohua Huang, Wenming Zheng, “Effective Discriminative TCM-KNN for Incremental Learning,” MIPPR, 2009.
  2. Wenming Zheng, Hao Tang, Zhouchen Lin, Thomas S. Huang, “A Novel Approach to Expression Recognition from Non-frontal Face Images,” ICCV, 2009.
  3. Xiaohua Huang, Wenming Zheng, “Optimal Local Temporal Common Spatial Patterns for Single-trial EEG Classification,” GCIS, 2009.
  4. Xiaoyan Zhou, Li Zhao, Wenming Zheng, Cairong Zou, “Face Recognition Using Weighted Pairwise Fuzzy Fisherface Method,” WCSE, 2009.
  5. Wenming Zheng, Zhouchen Lin, “Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification,” NIPS, 2009.
  • Journal Articles
  1. Wenming Zheng, “Heteroscedastic Feature Extraction for Texture Classification,” IEEE Signal Processing Letters, vol. 16, no. 9, pp. 766-769, 2009.
  2. Wenming Zheng, Xiaoou Tang, “Fast Algorithm for Updating the Discriminant Vectors of Dual-space LDA,” IEEE Transactions on Information Forensics and Security, vol. 4, no. 3, pp. 418-427, 2009.
2008
  • Journal Articles
  1. Xiaoyan Zhou, Wenming Zheng, Cairong Zou, Li Zhao, “Facial Expression Recognition Based on Fuzzy-LDA/CCA,” Journal of Southeast University (English Edition), vol. 24, no. 4, pp. 428-432, 2008.
  2. 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.
  3. 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.
  4. Xiaoyan Zhou, Wenming Zheng, “Novel Face Recognition Method Based on KPCA plus KDA,” Journal of Computer Applications, vol. 28, no. 5, pp. 1263-1266, 2008.
2007
  • Conference Papers
  1. Haixian Wang, Wenming Zheng, Zilan Hu, Sibao Chen, “Local and Weighted Maximum Margin Discriminant Analysis,” CVPR, 2007.
2006
  • Conference Papers
  1. Qingjiang Wu, Xiaoyan Zhou, Wenming Zheng, “Facial Expression Recognition Using Fuzzy Kernel Discriminant Analysis,” FSKD, 2006.
  2. Wenming Zheng, Xiaoou Tang, “A Robust Algorithm for Generalized Orthonormal Discriminant Vectors,” ICPR, 2006.
  3. Ning Sun, Wenming Zheng, Changyin Sun, Cairong Zou, Li Zhao, “Facial Expression Recognition Based on BoostingTree,” ISNN, 2006.
  4. Wenming Zheng, “KDA Plus KPCA for Face Recognition,” ISNN, 2006.
  5. Ning Sun, Wenming Zheng, Changyin Sun, Cairong Zou, Li Zhao, “Gender Classification Based on Boosting Local Binary Pattern,” ISNN, 2006.
  6. Zhenhai Ji, Wenming Zheng, Ning Sun, Cairong Zou, Li Zhao, “Face Alignment Using an Improved Active Shape Model,” ICIC, 2006
  • Journal Articles
  1. Wenming Zheng, “Class-Incremental Generalized Discriminant Analysis,” Neural Computation, vol. 18, no. 4, pp. 979-1006, 2006.
  2. Wenming Zheng, Xiaoyan Zhou, Cairong Zou, Li Zhao, “Facial Expression Recognition Using Kernel Canonical Correlation Analysis (KCCA),” IEEE Transactions on Neural Networks, vol. 17, no. 1, pp. 233-238, 2006.
2005
  • Conference Papers
  1. Wenming Zheng, Cairong Zou, Li Zhao, “Discriminative Features Extraction in Minor Component Subspace,” ACII, 2005.
  2. Yujia Cao, Wenming Zheng, Li Zhao, Cairong Zou, “Expression Recognition Using Elastic Graph Matching,” ACII, 2005.
  3. Zhenhai Ji, Wenming Zheng, Cairong Zou, Li Zhao, “Facial Feature Extracting Based on Active Shape Model Under Fewer Landmarks Condition,” ICNN&B, 2005.
  4. Wenming Zheng, Cairong Zou, Li Zhao, “Generalized Locally Nearest Neighbor Classifiers for Object Classification,” FSKD, 2005.
  • Journal Articles
  1. Wenming Zheng, “A Note on Kernel Uncorrelated Discriminant Analysis,” Pattern Recognition, vol. 38, no. 11, pp. 2185-2187, 2005.
  2. Wenming Zheng, Cairong Zou, Li Zhao, “Weighted Maximum Margin Discriminant Analysis with Kernels,” Neurocomputing, vol. 67, pp. 357-362, 2005.
  3. Wenming Zheng, Cairong Zou, Li Zhao, “An Improved Algorithm for Kernel Principal Component Analysis,” Neural Processing Letters, vol. 22, no. 1, pp. 49-56, 2005.
  4. Wenming Zheng, Li Zhao, Cairong Zou, “Foley-Sammon optimal discriminant vectors using kernel approach,” IEEE Transactions on Neural Networks, vol. 16, no. 1, pp.1-9, 2005.
2004
  • Conference Papers
  1. Wenming Zheng, Cairong Zou, Li Zhao, “Real-Time Face Recognition Using Gram-Schmidt Orthogonalization for LDA,” ICPR, 2004.
  2. Wenming Zheng, Xiaoyan Zhou, Cairong Zou, Li Zhao, “Facial Expression Recognition Using Kernel Discriminant Plane,” ISNN, 2004.
  3. Wenming Zheng, Cairong Zou, Li Zhao, “Face Recognition Using Two Novel Nearest Neighbor Classifiers,” ICASSP, 2004.
  • Journal Articles
  1. Wenming Zheng, Li Zhao, Cairong Zou, “A Modified Algorithm for Generalized Discriminant Analysis,” Neural Computation, vol. 16, no. 6, pp. 1283-1297, 2004.
  2. Wenming Zheng, Li Zhao, Cairong Zou, “Locally Nearest Neighbor Classifiers for Pattern Classification,” Pattern Recognition, vol. 37, no. 6, pp. 1307-1309, 2004.
  3. Wenming Zheng, Li Zhao, Cairong Zou, “An Efficient Algorithm to Solve the Small Sample Size Problem for LDA,” Pattern Recognition, vol. 37, no. 5, pp. 1077-1079, 2004.
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