2 citations · 2 across the 4 of their papers we have counts for
4 papers
GAME: Learning Multimodal Interactions via Graph Structures for Personality Trait Estimation
Kangsheng Wang, Yuhang Li, Chengwei Ye +5
Apparent personality analysis from short videos poses significant chal-lenges due to the complex interplay of visual, auditory, and textual cues. In this paper, we propose GAME, a…
Graph-Driven Multimodal Feature Learning Framework for Apparent Personality Assessment
Kangsheng Wang, Chengwei Ye, Huanzhen Zhang +2
Predicting personality traits automatically has become a challenging problem in computer vision. This paper introduces an innovative multimodal feature learning framework for perso…
CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-Agent Reinforcement Learning via Co-evolutionary Task Evolution
Yufei Lin, Chengwei Ye, Huanzhen Zhang +4
Sparse reward environments pose significant challenges in reinforcement learning, especially within multi-agent systems (MAS) where feedback is delayed and shared across agents, le…
GaMNet: A Hybrid Network with Gabor Fusion and NMamba for Efficient 3D Glioma Segmentation
Chengwei Ye, Huanzhen Zhang, Yufei Lin +3
Gliomas are aggressive brain tumors that pose serious health risks. Deep learning aids in lesion segmentation, but CNN and Transformer-based models often lack context modeling or d…