5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.RO2023
Embodied Self-Supervised Learning (EMSSL) with Sampling and Training Coordination for Robot Arm Inverse Kinematics Model Learning
Qu Weiming, Liu Tianlin, Wu Xihong +1
Forward and inverse kinematics models are fundamental to robot arms, serving as the basis for the robot arm's operational tasks. However, in model learning of robot arms, especiall…
eess.AS2020
Embodied Self-supervised Learning by Coordinated Sampling and Training
Yifan Sun, Xihong Wu
Self-supervised learning can significantly improve the performance of downstream tasks, however, the dimensions of learned representations normally lack explicit physical meanings.…
cs.CL2016★ 5 cited
Long Short-Term Memory based Convolutional Recurrent Neural Networks for Large Vocabulary Speech Recognition
Xiangang Li, Xihong Wu
Long short-term memory (LSTM) recurrent neural networks (RNNs) have been shown to give state-of-the-art performance on many speech recognition tasks, as they are able to provide th…