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Junhao Zhong

2 accepted papers

2026

Motion Dynamics Learning for Few-Shot Embodied Adaptation

ICML 2026poster

Vision-Language-Action (VLA) models have shown strong potential for robotic manipulation, yet adapting pretrained models to novel tasks typically relies on substantial task-specific demonstrations, limiting scalability. Current VLA methods mostly focus on action imitation, which ignores the richer s…

Cited by 0SourceScholar
2025

SpatialLM: Training Large Language Models for Structured Indoor Modeling

NeurIPS 2025poster

SpatialLM is a large language model designed to process 3D point cloud data and generate structured 3D scene understanding outputs. These outputs include architectural elements like walls, doors, windows, and oriented object boxes with their semantic categories. Unlike previous methods which exploit…

Cited by 0SourceScholar