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Tianshi Wang

2 accepted papers

2026

AC2-VLA: Action-Context-Aware Adaptive Computation in Vision-Language-Action Models for Efficient Robotic Manipulation

IJCAI 2026

Vision-Language-Action (VLA) models have demonstrated strong performance in robotic manipulation, yet their closed-loop deployment is hindered by the high latency and compute cost of repeatedly running large vision-language backbones at every timestep. We observe that VLA inference exhibits structur

Cited by 0Scholar
2024

Fine-grained Control of Generative Data Augmentation in IoT Sensing

NeurIPS 2024poster

Internet of Things (IoT) sensing models often suffer from overfitting due to data distribution shifts between training dataset and real-world scenarios. To address this, data augmentation techniques have been adopted to enhance model robustness by bolstering the diversity of synthetic samples within…

Cited by 1SourcePDFScholar