Yuntao Shou
Orcid: 0000-0003-3270-6238
According to our database1,
Yuntao Shou
authored at least 42 papers
between 2022 and 2025.
Collaborative distances:
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Bibliography
2025
Multimodal Large Language Models Meet Multimodal Emotion Recognition and Reasoning: A Survey.
CoRR, September, 2025
SE-GNN: Seed Expanded-Aware Graph Neural Network With Iterative Optimization for Semi-Supervised Entity Alignment.
IEEE Trans. Knowl. Data Eng., June, 2025
GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition.
CoRR, June, 2025
DER-GCN: Dialog and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialog Emotion Recognition.
IEEE Trans. Neural Networks Learn. Syst., March, 2025
GroupFace: Imbalanced Age Estimation Based on Multi-Hop Attention Graph Convolutional Network and Group-Aware Margin Optimization.
IEEE Trans. Inf. Forensics Secur., 2025
A Low-Rank Matching Attention Based Cross-Modal Feature Fusion Method for Conversational Emotion Recognition.
IEEE Trans. Affect. Comput., 2025
Pattern Recognit., 2025
Contrastive Graph Representation Learning with Adversarial Cross-View Reconstruction and Information Bottleneck.
Neural Networks, 2025
SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for incomplete multimodal learning in conversational emotion recognition.
Knowl. Based Syst., 2025
LRA-GNN: Latent Relation-Aware Graph Neural Network with initial and Dynamic Residual for facial age estimation.
Expert Syst. Appl., 2025
Enhancing domain adaptation for plant diseases detection through Masked Image Consistency in Multi-Granularity Alignment.
Expert Syst. Appl., 2025
Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-Guidance Fusion.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025
GSDNet: Revisiting Incomplete Multimodality-Diffusion Emotion Recognition from the Perspective of Graph Spectrum.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
Dynamic Graph Neural ODE Network for Multi-modal Emotion Recognition in Conversation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
IEEE Trans. Artif. Intell., December, 2024
A multi-view mask contrastive learning graph convolutional neural network for age estimation.
Knowl. Inf. Syst., November, 2024
A multi-message passing framework based on heterogeneous graphs in conversational emotion recognition.
Neurocomputing, February, 2024
Masked Graph Learning With Recurrent Alignment for Multimodal Emotion Recognition in Conversation.
IEEE ACM Trans. Audio Speech Lang. Process., 2024
Adversarial alignment and graph fusion via information bottleneck for multimodal emotion recognition in conversations.
Inf. Fusion, 2024
Expert Syst. Appl., 2024
SE-GCL: An Event-Based Simple and Effective Graph Contrastive Learning for Text Representation.
CoRR, 2024
Dynamic Graph Neural Ordinary Differential Equation Network for Multi-modal Emotion Recognition in Conversation.
CoRR, 2024
Contrastive Multi-graph Learning with Neighbor Hierarchical Sifting for Semi-supervised Text Classification.
CoRR, 2024
Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction.
CoRR, 2024
CoRR, 2024
Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification.
CoRR, 2024
MCSFF: Multi-modal Consistency and Specificity Fusion Framework for Entity Alignment.
CoRR, 2024
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples.
CoRR, 2024
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations.
CoRR, 2024
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum.
CoRR, 2024
Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion.
CoRR, 2024
2023
Adversarial Representation with Intra-Modal and Inter-Modal Graph Contrastive Learning for Multimodal Emotion Recognition.
CoRR, 2023
DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition.
CoRR, 2023
A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning.
CoRR, 2023
CoRR, 2023
A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition.
CoRR, 2023
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
A Two-Stage Multimodal Emotion Recognition Model Based on Graph Contrastive Learning.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
2022
Conversational emotion recognition studies based on graph convolutional neural networks and a dependent syntactic analysis.
Neurocomputing, 2022