Cheng Cheng
Orcid: 0000-0002-2138-6286
According to our database1,
Cheng Cheng
authored at least 19 papers
between 2019 and 2026.
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Bibliography
2026
Multi-view multi-scale adapter squeeze excitation network with domain generalization for cross-subject emotion recognition.
Expert Syst. Appl., 2026
2025
A Cross-Modal Adaptive Masked Autoencoder for Decoding Emotions With Multimodal Data.
IEEE Trans. Comput. Soc. Syst., October, 2025
DISD-Net: A Dynamic Interactive Network With Self-Distillation for Cross-Subject Multi-Modal Emotion Recognition.
IEEE Trans. Multim., 2025
SASD-MCL: Semi-supervised alignment self-distillation with mixed contrastive learning for cross-subject EEG emotion recognition.
Neural Networks, 2025
A Multi-stage Hemisphere Asymmetry Fusion Network Inspired by the brain for EEG depression detection.
Inf. Fusion, 2025
EEG-based emotion recognition based on 4D feature representations and multiple attention mechanisms.
Biomed. Signal Process. Control., 2025
2024
Hybrid Network Using Dynamic Graph Convolution and Temporal Self-Attention for EEG-Based Emotion Recognition.
IEEE Trans. Neural Networks Learn. Syst., December, 2024
Dense Graph Convolutional With Joint Cross-Attention Network for Multimodal Emotion Recognition.
IEEE Trans. Comput. Soc. Syst., October, 2024
Emotion recognition using hierarchical spatial-temporal learning transformer from regional to global brain.
Neural Networks, 2024
A novel transformer autoencoder for multi-modal emotion recognition with incomplete data.
Neural Networks, 2024
2023
IEEE J. Biomed. Health Informatics, March, 2023
SS-INR: Spatial-Spectral Implicit Neural Representation Network for Hyperspectral and Multispectral Image Fusion.
IEEE Trans. Geosci. Remote. Sens., 2023
Action Reinforcement and Indication Module for Single-frame Temporal Action Localization.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism.
IEEE J. Biomed. Health Informatics, 2022
Multimodal emotion recognition based on manifold learning and convolution neural network.
Multim. Tools Appl., 2022
Emotion recognition using heterogeneous convolutional neural networks combined with multimodal factorized bilinear pooling.
Biomed. Signal Process. Control., 2022
2021
Multimodal Emotion Recognition Using a Hierarchical Fusion Convolutional Neural Network.
IEEE Access, 2021
2020
2019
Multi-Channel Physiological Signal Emotion Recognition Based on ReliefF Feature Selection.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019