WENMING ZHENG PhD Henan Agriculture University College of Life
Wenming Zheng, Yuan Zong, Xiaoyan Zhou, and Minghai Xin. 2018. Cross-domain color facial expression recognition using transductive transfer subspace learning. IEEE transactions on Affective Computing, Vol. 9, 1 (2018), 21--37. Google Scholar Digital Library; Wei-Long Zheng and Bao-Liang Lu. 2016. Personalizing EEG-based affective models with.
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Wenming Zheng and Yuan Zong are with the Key Laboratory of Child Development and Learning Science (Ministry of Education), School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, Jiangsu, 210096, China.( Corresponding author: Wenming Zheng (E-mail: wenming [email protected]).)
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Wenming Zheng's 225 research works with 7,198 citations and 9,164 reads, including: Label Distribution Adaptation for Multimodal Emotion Recognition with Multi-label Learning
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B Wenming Zheng [email protected] 1 Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing 210096, People's Republic of China 2 Center for Machine Vision and Signal Analysis, Department of Computer Science and Engineering,
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Wenming Zheng Zhensheng Kang Uniseqs with similarity (BLASTX, E-value < 10-5 or InterProScan, E-value < 10-5) to proteins in public databases were grouped into functional categories according to.
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B Huiru Zheng [email protected] Minghong Li [email protected] Wenming Zheng [email protected] Yingjie Wu [email protected] Kun Jiang [email protected] 1 College of Computer and Big Data, Fuzhou University, Fuzhou 350108, China 2 Basic Medical College, Yunnan University of Chinese Medicine, Kunming 650500, China
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A novel Adaptive Weighted Transfer Subspace Learning Method for Cross-Database Speech Emotion Recognition. IEICE Trans. Inf. Syst. 105-D ( 9): 1643-1646 ( 2022) [j86] Xuejun Li, Wenming Zheng, Yuan Zong: Motion cues guided feature aggregation and enhancement for video object segmentation.
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Wenming Zheng. Computer Science. IEEE Transactions on Affective Computing. 19 February 2014; TLDR. A novel group sparse reduced-rank regression (GSRRR) model is proposed to describe the relationship between the multi-view facial feature vectors and the corresponding expression class label vectors to deal with the prediction of expressions.
(PDF) Stagespecific gene expression during urediniospore germination
Wenming Zheng. Southeast University. Verified email at seu.edu.cn. Affective Computing Pattern Recognition Computer Vision. Articles Cited by Public access. Title.. Y Li, L Wang, W Zheng, Y Zong, L Qi, Z Cui, T Zhang, T Song. IEEE Transactions on Cognitive and Developmental Systems 13 (2), 354-367, 2020. 159: 2020:
Prof. Zheng Zheng_MLPRIS 2019 Engii
Ph.D. student. Latest. L1-Norm Heteroscedastic Discriminant Analysis under Mixture of Gaussian Distributions
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W. Zheng is with the Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education, Southeast University, Nanjing 210096, China and also with the School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, Jiangsu, China. (E-mail: wenming [email protected].)
Yuebing Zheng
In this paper, we propose a novel deep learning framework, called spatial-temporal recurrent neural network (STRNN), to integrate the feature learning from both spatial and temporal information of signal sources into a unified spatial-temporal dependency model. In STRNN, to capture those spatially co-occurrent variations of human emotions, a.
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Wenming Zheng State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, 518083, China Jinqun Huang, Chuangzhao Qiu, Peixiang Ni, Wei Dong, Linfeng Yang, Huanming Yang & Gengyun Zhang
French Open Zheng Qinwen Reaches Fourth Round After Alize Pulls
Wenming Zheng Collaborative Innovation Center of Henan Grain Crops / State Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou, China Correspondence [email protected] View further author information
WENMING ZHENG PhD Henan Agriculture University College of Life
Wenming Zheng (Senior Member, IEEE) received the BS degree in computer science from Fuzhou University, Fuzhou, China, in 1997, the MS degree in computer science from Huaqiao University, Quanzhou, China, in 2001, and the PhD degree in signal processing from Southeast University, Nanjing, China, in 2004. Since 2004, he has been with the Research.
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Haixian Wang, Xuesong Lu, Zilan Hu, Wenming Zheng. PMID: 23912504 DOI: 10.1109/TCYB.2013.2273355 Abstract Fisher linear discriminant analysis (LDA) is a classical subspace learning technique of extracting discriminative features for pattern recognition problems. The formulation of the Fisher criterion is based on the L2-norm, which makes LDA.