Zhifeng Rao

AugVLA-3D: Depth-Driven Feature Augmentation for Vision-Language-Action Models

MambaGCN: Synergistic Integration of Graph Convolutional Networks and State Space Models for Point Cloud Processing

Graph Neural Networks have emerged as a formidable tool for analyzing point clouds, leveraging their capacity to aggregate local features across multiple spatial scales via layered structures. However, a significant challenge lies in effectively and selectively integrating these multi-scale features