Yize Huang

Yize Huang is a researcher who co-authored the paper RLRC: Reinforcement Learning-based Recovery for Compressed Vision-Language-Action Models, which presents a compression and recovery pipeline for Vision-Language-Action models in robotic manipulation. The work, co-authored with X. Li, Y. Han, and Y. Chen, addresses model compression challenges for deploying large VLA models on resource-constrained platforms through structured pruning, reinforcement learning-based recovery, and quantization.