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Wanzeng Kong

Showing results (1-10 of 80) with videos related to

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Computer Methods and Programs in Biomedicine|February 13, 2025
A multi-layer EEG fusion decoding method with channel selection for multi-brain motor imageryLi Zhu, Yankai Xin, Yu Yang, et al.
Neural Plasticity|December 10, 2020
The Relationship between Sparseness and Energy Consumption of Neural NetworksGuanzheng Wang, Rubin Wang, Wanzeng Kong, et al.
Cognitive Neurodynamics|September 4, 2025
CAGCNet: generalized contrastive learning for person identification based on channel aggregated EEG featuresXinran Wang, Xuanyu Jin, Wanzeng Kong, et al.
Medical & Biological Engineering & Computing|May 3, 2024
Semi-supervised bipartite graph construction with active EEG sample selection for emotion recognitionBowen Pang, Yong Peng, Jian Gao, et al.
Journal of Neuroscience Methods|February 26, 2026
Exploration of the mental attention mechanisms in motor imagery-based EEG decodingXixi Zhan, Xinlei Chen, Li Zhu, et al.
Health Information Science and Systems|February 20, 2024
Enhanced performance of EEG-based brain-computer interfaces by joint sample and feature importance assessmentXing Li, Yikai Zhang, Yong Peng, et al.
Peerj. Computer Science|April 9, 2021
A new Kmeans clustering model and its generalization achieved by joint spectral embedding and rotationWenna Huang, Yong Peng, Yuan Ge, et al.
Cognitive Neurodynamics|October 3, 2023
Feature hypergraph representation learning on spatial-temporal correlations for EEG emotion recognitionMenghang Li, Min Qiu, Li Zhu, et al.
Journal of Neuroscience Methods|July 3, 2023
SIFIAE: An adaptive emotion recognition model with EEG feature-label inconsistency considerationYikai Zhang, Yong Peng, Junhua Li, et al.
Mathematical Biosciences and Engineering : MBE|June 16, 2023
Semi-supervised regression with adaptive graph learning for EEG-based emotion recognitionTianhui Sha, Yikai Zhang, Yong Peng, et al.
Pageof 8

Showing results (1-10 of 80) with videos related to

Sort By:
Pageof 8
Computer Methods and Programs in Biomedicine|February 13, 2025
A multi-layer EEG fusion decoding method with channel selection for multi-brain motor imageryLi Zhu, Yankai Xin, Yu Yang, et al.
Neural Plasticity|December 10, 2020
The Relationship between Sparseness and Energy Consumption of Neural NetworksGuanzheng Wang, Rubin Wang, Wanzeng Kong, et al.
Cognitive Neurodynamics|September 4, 2025
CAGCNet: generalized contrastive learning for person identification based on channel aggregated EEG featuresXinran Wang, Xuanyu Jin, Wanzeng Kong, et al.
Medical & Biological Engineering & Computing|May 3, 2024
Semi-supervised bipartite graph construction with active EEG sample selection for emotion recognitionBowen Pang, Yong Peng, Jian Gao, et al.
Journal of Neuroscience Methods|February 26, 2026
Exploration of the mental attention mechanisms in motor imagery-based EEG decodingXixi Zhan, Xinlei Chen, Li Zhu, et al.
Health Information Science and Systems|February 20, 2024
Enhanced performance of EEG-based brain-computer interfaces by joint sample and feature importance assessmentXing Li, Yikai Zhang, Yong Peng, et al.
Peerj. Computer Science|April 9, 2021
A new Kmeans clustering model and its generalization achieved by joint spectral embedding and rotationWenna Huang, Yong Peng, Yuan Ge, et al.
Cognitive Neurodynamics|October 3, 2023
Feature hypergraph representation learning on spatial-temporal correlations for EEG emotion recognitionMenghang Li, Min Qiu, Li Zhu, et al.
Journal of Neuroscience Methods|July 3, 2023
SIFIAE: An adaptive emotion recognition model with EEG feature-label inconsistency considerationYikai Zhang, Yong Peng, Junhua Li, et al.
Mathematical Biosciences and Engineering : MBE|June 16, 2023
Semi-supervised regression with adaptive graph learning for EEG-based emotion recognitionTianhui Sha, Yikai Zhang, Yong Peng, et al.
Pageof 8