most citedSDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition

2 citations · 5 across the 9 of their papers we have counts for

collaborators

9 papers

cs.SD2025

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition

Yuntao Shou, Jun Yao, Tao Meng +3

Multimodal emotion recognition in conversations (MERC) aims to infer the speaker's emotional state by analyzing utterance information from multiple sources (i.e., video, audio, and…

cs.CL2024

SE-GCL: An Event-Based Simple and Effective Graph Contrastive Learning for Text Representation

Tao Meng, Wei Ai, Jianbin Li +3

Text representation learning is significant as the cornerstone of natural language processing. In recent years, graph contrastive learning (GCL) has been widely used in text repres…

cs.CV20241 cited

GroupFace: Imbalanced Age Estimation Based on Multi-hop Attention Graph Convolutional Network and Group-aware Margin Optimization

Yiping Zhang, Yuntao Shou, Wei Ai +2

With the recent advances in computer vision, age estimation has significantly improved in overall accuracy. However, owing to the most common methods do not take into account the c…

cs.CL20242 cited

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition

Fangze Fu, Wei Ai, Fan Yang +3

Multimodal Emotion Recognition in Conversations (MERC) aims to classify utterance emotions using textual, auditory, and visual modal features. Most existing MERC methods assume eac…

cs.CL2024

Contrastive Multi-graph Learning with Neighbor Hierarchical Sifting for Semi-supervised Text Classification

Wei Ai, Jianbin Li, Ze Wang +4

Graph contrastive learning has been successfully applied in text classification due to its remarkable ability for self-supervised node representation learning. However, explicit gr…

cs.CV2024

Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction

Yuntao Shou, Peiqiang Yan, Xingjian Yuan +3

In recent years, histopathological whole slide image (WSI)- based survival analysis has attracted much attention in medical image analysis. In practice, WSIs usually come from diff…