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Xiaoyi Qu

2 accepted papers

2025

Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression

CVPR 2025poster

Structured pruning and quantization are fundamental techniques used to reduce the size of deep neural networks (DNNs) and typically are applied independently. Applying these techniques jointly via co-optimization has the potential to produce smaller, high-quality models. However, existing joint sche…

2025

Task-Parameterized Dynamic Movement Primitives With Reinforcement Learning for Improved Motion Planning

RA-L 2025

Online trajectory planning in unstructured environments poses significant challenges for mobile robots, particularly when navigating complex obstacles. Traditional learning-from-demonstration (LfD) methods depend on offline datasets, limiting their ability to adapt to varying obstacle shapes and dyn

Cited by 2SourceScholar