Cover Image

EMOD: A Unified EEG Emotion Representation Framework Leveraging V-A Guided Contrastive Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Yuning, Zhao, Sha, Li, Shijian, Pan, Gang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EEGAgent: A Unified Framework for Automated EEG Analysis Using Large Language Models
by: Zhao, Sha, et al.
Published: (2025)

SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding
by: Zhou, Yangxuan, et al.
Published: (2025)

CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
by: Wang, Jiquan, et al.
Published: (2024)

A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition
by: Li, Xiang, et al.
Published: (2024)

Leveraging Superfluous Information in Contrastive Representation Learning
by: Yu, Xuechu
Published: (2024)

The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning
by: Li, Yurui, et al.
Published: (2025)

Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
by: Chen, Zhisheng, et al.
Published: (2025)

Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation
by: Zhou, Yangxuan, et al.
Published: (2024)

SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning
by: Kotoge, Rikuto, et al.
Published: (2024)

FastBUS: A Fast Bayesian Framework for Unified Weakly-Supervised Learning
by: Wang, Ziquan, et al.
Published: (2026)

A Unified Contrastive-Generative Framework for Time Series Classification
by: Liu, Ziyu, et al.
Published: (2025)

UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
by: Feng, Shikun, et al.
Published: (2024)

Spectral Disentanglement and Enhancement: A Dual-domain Contrastive Framework for Representation Learning
by: Guo, Jinjin, et al.
Published: (2026)

Contrastive Learning Via Equivariant Representation
by: Song, Sifan, et al.
Published: (2024)

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning
by: Guo, Siyuan, et al.
Published: (2023)

EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition
by: Jin, Ming, et al.
Published: (2024)

EEGDM: Learning EEG Representation with Latent Diffusion Model
by: Wang, Shaocong, et al.
Published: (2025)

Atoms of Thought: Universal EEG Representation Learning with Microstates
by: Tian, Xinyang, et al.
Published: (2026)

SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs
by: Li, Yisheng, et al.
Published: (2024)

Learning Domain- and Class-Disentangled Prototypes for Domain-Generalized EEG Emotion Recognition
by: Li, Guangli, et al.
Published: (2025)

Cross-Subject EEG Emotion Recognition Based on Temporal Asynchronous Alignment Contrastive Learning
by: Xie, Ying, et al.
Published: (2026)

Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection
by: Hu, Yuxuan, et al.
Published: (2025)

Coordinate Heart System: A Geometric Framework for Emotion Representation
by: Al-Desi, Omar
Published: (2025)

CRIA: A Cross-View Interaction and Instance-Adapted Pre-training Framework for Generalizable EEG Representations
by: Liu, Puchun, et al.
Published: (2025)

DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
by: Zhang, Wenxin, et al.
Published: (2025)

Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition
by: Zhao, Yimin, et al.
Published: (2024)

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data
by: Chen, Suiyao, et al.
Published: (2024)

DAMSDAN: Distribution-Aware Multi-Source Domain Adaptation Network for Cross-Domain EEG-based Emotion Recognition
by: Hu, Fo, et al.
Published: (2025)

Spatiotemporal Convolutions on EEG signal -- A Representation Learning Perspective on Efficient and Explainable EEG Classification with Convolutional Neural Nets
by: Dixen, Laurits, et al.
Published: (2026)

Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG
by: Wei, Xinxu, et al.
Published: (2024)

HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning
by: Ji, Qirui, et al.
Published: (2025)

Prototype-Guided Non-Exemplar Continual Learning for Cross-subject EEG Decoding
by: Li, Dan, et al.
Published: (2025)

Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection
by: Chen, Xiaojing, et al.
Published: (2026)

TRACE: Temporal Routing with Autoregressive Cross-channel Experts for EEG Representation Learning
by: Ma, Fan, et al.
Published: (2026)

Wearable Music2Emotion : Assessing Emotions Induced by AI-Generated Music through Portable EEG-fNIRS Fusion
by: Zhao, Sha, et al.
Published: (2025)

Knowledge-guided EEG Representation Learning
by: Kommineni, Aditya, et al.
Published: (2024)

A Unified Invariant Learning Framework for Graph Classification
by: Sui, Yongduo, et al.
Published: (2025)

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids
by: Zhao, Dafang, et al.
Published: (2024)

GuardFed: A Trustworthy Federated Learning Framework Against Dual-Facet Attacks
by: Li, Yanli, et al.
Published: (2025)

MCLPD:Multi-view Contrastive Learning for EEG-based PD Detection Across Datasets
by: Zhang, Qian, et al.
Published: (2025)