1 citations · 1 across the 3 of their papers we have counts for
4 papers
Spatial-Temporal Transformer with Curriculum Learning for EEG-Based Emotion Recognition
Xuetao Lin, Tianhao Peng, Peihong Dai +2
EEG-based emotion recognition plays an important role in developing adaptive brain-computer communication systems, yet faces two fundamental challenges in practical implementations…
Mamba-VA: A Mamba-based Approach for Continuous Emotion Recognition in Valence-Arousal Space
Yuheng Liang, Zheyu Wang, Feng Liu +2
Continuous Emotion Recognition (CER) plays a crucial role in intelligent human-computer interaction, mental health monitoring, and autonomous driving. Emotion modeling based on the…
GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy
Tianhao Peng, Wenjun Wu, Haitao Yuan +6
Graph neural networks (GNNs) have shown advantages in graph-based analysis tasks. However, most existing methods have the homogeneity assumption and show poor performance on hetero…
CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning
Tianhao Peng, Yu Liang, Wenjun Wu +3
Modeling and predicting the performance of students in collaborative learning paradigms is an important task. Most of the research presented in literature regarding collaborative l…