Yuntao Shou

According to our database, Yuntao Shou authored at least 12 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A multi-message passing framework based on heterogeneous graphs in conversational emotion recognition.

Tao Meng, Yuntao Shou, Wei Ai, Jiayi Du, Haiyan Liu, Keqin Li

Neurocomputing, February, 2024

2023

Adversarial Representation with Intra-Modal and Inter-Modal Graph Contrastive Learning for Multimodal Emotion Recognition.

Yuntao Shou, Tao Meng, Wei Ai, Keqin Li

CoRR, 2023

DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition.

Wei Ai, Yuntao Shou, Tao Meng, Keqin Li

CoRR, 2023

Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversations.

Tao Meng, Yuntao Shou, Wei Ai, Nan Yin, Keqin Li

CoRR, 2023

A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning.

Yuntao Shou, Tao Meng, Wei Ai, Nan Yin, Keqin Li

CoRR, 2023

Graph Information Bottleneck for Remote Sensing Segmentation.

Yuntao Shou, Wei Ai, Tao Meng

CoRR, 2023

CZL-CIAE: CLIP-driven Zero-shot Learning for Correcting Inverse Age Estimation.

Yuntao Shou, Wei Ai, Tao Meng, Keqin Li

CoRR, 2023

A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition.

Yuntao Shou, Xiangyong Cao, Deyu Meng, Bo Dong, Qinghua Zheng

CoRR, 2023

Masked Contrastive Graph Representation Learning for Age Estimation.

Yuntao Shou, Xiangyong Cao, Deyu Meng

CoRR, 2023

GraphUnet: Graph Make Strong Encoders for Remote Sensing Segmentation.

Yuntao Shou, Wei Ai, Tao Meng, Fuchen Zhang, Keqin Li

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.

Wei Ai, Fuchen Zhang, Tao Meng, Yuntao Shou, Hongen Shao, Keqin Li

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.

Yuntao Shou, Tao Meng, Wei Ai, Sihan Yang, Keqin Li

Neurocomputing, 2022