Zhenxi Song
Orcid: 0000-0001-8574-0857
According to our database1,
Zhenxi Song
authored at least 13 papers
between 2019 and 2024.
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Bibliography
2024
Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation.
CoRR, 2024
BrainECHO: Semantic Brain Signal Decoding through Vector-Quantized Spectrogram Reconstruction for Whisper-Enhanced Text Generation.
CoRR, 2024
Semantic-Guided Multimodal Sentiment Decoding with Adversarial Temporal-Invariant Learning.
CoRR, 2024
AFBT GAN: enhanced explainability and diagnostic performance for cognitive decline by counterfactual generative adversarial network.
CoRR, 2024
HA-HI: Synergising fMRI and DTI through Hierarchical Alignments and Hierarchical Interactions for Mild Cognitive Impairment Diagnosis.
CoRR, 2024
EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
GCAN: Generative Counterfactual Attention-Guided Network for Explainable Cognitive Decline Diagnostics Based on fMRI Functional Connectivity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
BNMTrans: A Brain Network Sequence-Driven Manifold-Based Transformer for Cognitive Impairment Detection Using EEG.
Proceedings of the IEEE International Conference on Acoustics, 2024
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
An Enhanced EEG Microstate Recognition Framework Based on Deep Neural Networks: An Application to Parkinson's Disease.
IEEE J. Biomed. Health Informatics, March, 2023
Disambiguation of Cognitive Impairment Diagnosis with EEG-Based Dual-Contrastive Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023
2020
Supervised Network-Based Fuzzy Learning of EEG Signals for Alzheimer's Disease Identification.
IEEE Trans. Fuzzy Syst., 2020
2019
Biomarkers for Alzheimer's Disease Defined by a Novel Brain Functional Network Measure.
IEEE Trans. Biomed. Eng., 2019