Zhenxi Song
Orcid: 0000-0001-8574-0857
According to our database1,
Zhenxi Song authored at least 27 papers
between 2019 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
EEG-SeeGraph: Interpreting functional connectivity disruptions in dementias via sparse-explanatory dynamic EEG-graph learning.
CoRR, March, 2026
RSHallu: Dual-Mode Hallucination Evaluation for Remote-Sensing Multimodal Large Language Models with Domain-Tailored Mitigation.
CoRR, February, 2026
EEG-Based Validation of Neural Response Similarity Between Vibration and Electrical Stimulation for Virtual Tactile Feedback.
IEEE Trans. Haptics, 2026
Efficient speech command recognition leveraging spiking neural networks and progressive time-scaled curriculum distillation.
Neural Networks, 2026
Inf. Fusion, 2026
2025
Senti-iFusion: An Integrity-centered Hierarchical Fusion Framework for Multimodal Sentiment Analysis under Uncertain Modality Missingness.
CoRR, November, 2025
BrainCSD: A Hierarchical Consistency-Driven MoE Foundation Model for Unified Connectome Synthesis and Multitask Brain Trait Prediction.
CoRR, November, 2025
Pattern-Aware Diffusion Synthesis of fMRI/dMRI with Tissue and Microstructural Refinement.
CoRR, November, 2025
S<sup>2</sup>M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection.
CoRR, August, 2025
Thread the Needle: Genomics-Guided Prompt-Bridged Attention Model for Survival Prediction of Glioma Based on MRI Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
EEG-ReMinD: Enhancing Neurodegenerative EEG Decoding through Self-Supervised State Reconstruction-Primed Riemannian Dynamics.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
SSVEP-BiMA: Bifocal Masking Attention Leveraging Native and Symmetric-Antisymmetric Components for Robust SSVEP Decoding.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
BrainECHO: Semantic Brain Signal Decoding through Vector-Quantized Spectrogram Reconstruction for Whisper-Enhanced Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
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