Ziyu Jia
Orcid: 0000-0002-8523-1419
According to our database1,
Ziyu Jia
authored at least 42 papers
between 2019 and 2024.
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Bibliography
2024
IEEE Trans. Artif. Intell., November, 2024
Dense Graph Convolutional With Joint Cross-Attention Network for Multimodal Emotion Recognition.
IEEE Trans. Comput. Soc. Syst., October, 2024
Exploring Structure Incentive Domain Adversarial Learning for Generalizable Sleep Stage Classification.
ACM Trans. Intell. Syst. Technol., February, 2024
MetaEmotionNet: Spatial-Spectral-Temporal-Based Attention 3-D Dense Network With Meta-Learning for EEG Emotion Recognition.
IEEE Trans. Instrum. Meas., 2024
Spectral-Spatial Attention Alignment for Multi-Source Domain Adaptation in EEG-Based Emotion Recognition.
IEEE Trans. Affect. Comput., 2024
Multi-source Selective Graph Domain Adaptation Network for cross-subject EEG emotion recognition.
Neural Networks, 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
CoRR, 2024
ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging.
CoRR, 2024
CoRR, 2024
SleepMG: Multimodal Generalizable Sleep Staging with Inter-modal Balance of Classification and Domain Discrimination.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Mutual Distillation Extracting Spatial-temporal Knowledge for Lightweight Multi-channel Sleep Stage Classification.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
VSGT: Variational Spatial and Gaussian Temporal Graph Models for EEG-based Emotion Recognition.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Multi-level Disentangling Network for Cross-Subject Emotion Recognition Based on Multimodal Physiological Signals.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
A parallel multi-scale time-frequency block convolutional neural network based on channel attention module for motor imagery classification.
Biomed. Signal Process. Control., 2023
A Spatial-Temporal Transformer based on Domain Generalization for Motor Imagery Classification.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
EmotionKD: A Cross-Modal Knowledge Distillation Framework for Emotion Recognition Based on Physiological Signals.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
ASTDF-Net: Attention-Based Spatial-Temporal Dual-Stream Fusion Network for EEG-Based Emotion Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Exploiting Interactivity and Heterogeneity for Sleep Stage Classification Via Heterogeneous Graph Neural Network.
Proceedings of the IEEE International Conference on Acoustics, 2023
An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Sci. China Inf. Sci., 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.
CoRR, 2021
HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
SleepPrintNet: A Multivariate Multimodal Neural Network Based on Physiological Time-Series for Automatic Sleep Staging.
IEEE Trans. Artif. Intell., 2020
Comput. Biol. Medicine, 2020
MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Learning Space-Time-Frequency Representation with Two-Stream Attention Based 3D Network for Motor Imagery Classification.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Entropy, 2019