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
Learning Robust Global-Local Representation From EEG for Neural Epilepsy Detection.
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

Spatial-Temporal Mamba Network for EEG-based Motor Imagery Classification.
CoRR, 2024

ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging.
CoRR, 2024

A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective.
CoRR, 2024

Graph Neural Networks in EEG-based Emotion Recognition: A Survey.
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

ATTA: Adaptive Test-Time Adaptation for Multi-Modal Sleep Stage Classification.
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
Interpretable and Robust AI in EEG Systems: A Survey.
CoRR, 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

BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging.
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
Hybrid spiking neural network for sleep electroencephalogram signals.
Sci. China Inf. Sci., 2022

Multi-Level Spatial-Temporal Adaptation Network for Motor Imagery Classification.
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

SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Two-Stream Squeeze-and-Excitation Network for Multi-modal Sleep Staging.
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

Representation based on ordinal patterns for seizure detection in EEG signals.
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

BrainSleepNet: Learning Multivariate EEG Representation for Automatic Sleep Staging.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Detecting Causality in Multivariate Time Series via Non-Uniform Embedding.
Entropy, 2019


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