12 citations · 20 across the 4 of their papers we have counts for
4 papers
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…
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.…
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…
Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition
Xiangang Li, Xihong Wu
Long short-term memory (LSTM) based acoustic modeling methods have recently been shown to give state-of-the-art performance on some speech recognition tasks. To achieve a further p…