58 citations · 66 across the 7 of their papers we have counts for
7 papers
A Self-adaptive LSAC-PID Approach based on Lyapunov Reward Shaping for Mobile Robots
Xinyi Yu, Siyu Xu, Yuehai Fan +1
To solve the coupling problem of control loops and the adaptive parameter tuning problem in the multi-input multi-output (MIMO) PID control system, a self-adaptive LSAC-PID algorit…
Across-Task Neural Architecture Search via Meta Learning
Jingtao Rong, Xinyi Yu, Mingyang Zhang +1
Adequate labeled data and expensive compute resources are the prerequisites for the success of neural architecture search(NAS). It is challenging to apply NAS in meta-learning scen…
Oriented Object Detection in Aerial Images Based on Area Ratio of Parallelogram
Xinyi Yu, Mi Lin, Jiangping Lu +1
Oriented object detection is a challenging task in aerial images since the objects in aerial images are displayed in arbitrary directions and are frequently densely packed. The mai…
RepNAS: Searching for Efficient Re-parameterizing Blocks
Mingyang Zhang, Xinyi Yu, Jingtao Rong +1
In the past years, significant improvements in the field of neural architecture search(NAS) have been made. However, it is still challenging to search for efficient networks due to…
A Self-adaptive SAC-PID Control Approach based on Reinforcement Learning for Mobile Robots
Xinyi Yu, Yuehai Fan, Siyu Xu +1
Proportional-integral-derivative (PID) control is the most widely used in industrial control, robot control and other fields. However, traditional PID control is not competent when…
Effective Model Compression via Stage-wise Pruning
Mingyang Zhang, Xinyi Yu, Jingtao Rong +1
Automated Machine Learning(Auto-ML) pruning methods aim at searching a pruning strategy automatically to reduce the computational complexity of deep Convolutional Neural Networks(d…
Graph Pruning for Model Compression
Mingyang Zhang, Xinyi Yu, Jingtao Rong +1
Previous AutoML pruning works utilized individual layer features to automatically prune filters. We analyze the correlation for two layers from the different blocks which have a sh…