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Wenming Zheng

Wenming Zheng

D-Index & Metrics

Computer Science

D-Index
56
Citations
11586
World Ranking
4109
National Ranking
547

Overview

Wenming Zheng is affiliated with Southeast University in China and specializes in the field of Computer Science with a focus on subfields including Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Artificial Intelligence, Cognitive Neuroscience, and Signal Processing.

The main topics covered in Zheng's research include:

  • Emotion and Mood Recognition
  • EEG and Brain-Computer Interfaces
  • Face and Expression Recognition
  • Speech and Audio Processing
  • Speech Recognition and Synthesis
  • Face recognition and analysis
  • Machine Learning and ELM

Zheng's publication record demonstrates engagement with several frequent venues, evidencing a research focus on affective computing, social systems, and information systems. These venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Affective Computing
  • IEEE Transactions on Computational Social Systems
  • IEICE Transactions on Information and Systems
  • Neurocomputing

Recent papers authored or coauthored by Wenming Zheng include:

  • A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition, 2020, IEEE Transactions on Cognitive and Developmental Systems
  • GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition, 2022, IEEE Transactions on Affective Computing
  • SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals, 2021, IEEE Transactions on Affective Computing
  • Graph-Embedded Convolutional Neural Network for Image-Based EEG Emotion Recognition, 2021, IEEE Transactions on Emerging Topics in Computing
  • Variational Instance-Adaptive Graph for EEG Emotion Recognition, 2021, IEEE Transactions on Affective Computing

Zheng has collaborated frequently with several coauthors, including:

  • Yuan Zong
  • Cheng Lu
  • Peng Song
  • Chuangao Tang
  • Hailun Lian

Best Publications

  • EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks

    Tengfei Song;Wenming Zheng;Peng Song;Zhen Cui

  • Spatial–Temporal Recurrent Neural Network for Emotion Recognition

    Tong Zhang;Wenming Zheng;Zhen Cui;Yuan Zong

  • Facial expression recognition using kernel canonical correlation analysis (KCCA)

    Wenming Zheng;Xiaoyan Zhou;Cairong Zou;Li Zhao

  • A Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition

    Tong Zhang;Wenming Zheng;Zhen Cui;Yuan Zong

  • A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition

    Yang Li;Wenming Zheng;Yuan Zong;Zhen Cui

  • A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition

    Yang Li;Lei Wang;Wenming Zheng;Yuan Zong

  • Spontaneous facial micro-expression analysis using Spatiotemporal Completed Local Quantized Patterns

    Xiaohua Huang;Guoying Zhao;Xiaopeng Hong;Wenming Zheng

  • MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion Recognition

    Tengfei Song;Wenming Zheng;Cheng Lu;Yuan Zong

  • Multichannel EEG-Based Emotion Recognition via Group Sparse Canonical Correlation Analysis

    Wenming Zheng

  • From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition

    Yang Li;Wenming Zheng;Lei Wang;Yuan Zong

  • Fisher Discriminant Analysis With L1-Norm

    Haixian Wang;Xuesong Lu;Zilan Hu;Wenming Zheng

  • Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition

    Chaolong Li;Zhen Cui;Wenming Zheng;Chunyan Xu

  • Gender classification based on boosting local binary pattern

    Ning Sun;Wenming Zheng;Changyin Sun;Cairong Zou

  • L1-Norm-Based Common Spatial Patterns

    Haixian Wang;Qin Tang;Wenming Zheng

  • Multi-View Facial Expression Recognition Based on Group Sparse Reduced-Rank Regression

    Wenming Zheng

  • DFEW: A Large-Scale Database for Recognizing Dynamic Facial Expressions in the Wild

    Xingxun Jiang;Yuan Zong;Wenming Zheng;Chuangao Tang

  • SparseDGCNN: Recognizing Emotion from Multichannel EEG Signals

    Guanhua Zhang;Minjing Yu;Yong-Jin Liu;Guozhen Zhao

  • Learning From Hierarchical Spatiotemporal Descriptors for Micro-Expression Recognition

    Yuan Zong;Xiaohua Huang;Wenming Zheng;Zhen Cui

  • Locally nearest neighbor classifiers for pattern classification

    Wenming Zheng;Li Zhao;Cairong Zou

  • Multi-cue fusion for emotion recognition in the wild

    Jingwei Yan;Wenming Zheng;Zhen Cui;Chuangao Tang

  • A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition.

    Yang Li;Wenming Zheng;Zhen Cui;Tong Zhang

  • A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition

    Yang Li;Wenming Zheng;Lei Wang;Yuan Zong

  • Spontaneous facial micro-expressionanalysis using Spatiotemporal Complete Local Quantized Patterns

    Xiaohua Huang;Guoying Zhao;Wenming Zheng;Matti Pietikainen

Frequent Co-Authors

Guoying Zhao
Guoying Zhao University of Oulu
Zhouchen Lin
Zhouchen Lin Peking University
Matti Pietikäinen
Matti Pietikäinen University of Oulu
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Qiang Ji
Qiang Ji Rensselaer Polytechnic Institute
Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Guangming Shi
Guangming Shi Xidian University
Zhongze Gu
Zhongze Gu Southeast University
Rongrong Ji
Rongrong Ji Xiamen University
Wankou Yang
Wankou Yang Southeast University

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