Tengfei Song

Orcid: 0000-0003-0874-2845

According to our database1, Tengfei Song authored at least 13 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Variational Instance-Adaptive Graph for EEG Emotion Recognition.
IEEE Trans. Affect. Comput., 2023

2022
Graph-Embedded Convolutional Neural Network for Image-Based EEG Emotion Recognition.
IEEE Trans. Emerg. Top. Comput., 2022

2021
A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst., 2021

The Improved Equivalent Circuit Models Considering End Effects of Annular Linear Induction Electromagnetic Pump for Space Nuclear Power Supply.
IEEE Access, 2021

Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Uncertain Graph Neural Networks for Facial Action Unit Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks.
IEEE Trans. Affect. Comput., 2020

Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Instance-Adaptive Graph for EEG Emotion Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
RGB-D image saliency detection from 3D perspective.
Multim. Tools Appl., 2019

MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion Recognition.
IEEE Access, 2019

Sparse Graphic Attention LSTM for EEG Emotion Recognition.
Proceedings of the Neural Information Processing - 26th International Conference, 2019


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