Temporal knowledge prediction is a crucial task for the event early warn...
Knowledge graph embedding (KGE) aims to represent entities and relations...
Knowledge Graphs (KGs) have shown great success in recommendation. This ...
Time Delay Neural Networks (TDNN)-based methods are widely used in diale...
Graph representation learning has attracted a surge of interest recently...
We present a novel haptic teleoperation approach that considers not only...
Shared autonomy teleoperation can guarantee safety, but does so by reduc...
Knowledge graphs have been demonstrated to be an effective tool for nume...
Graph neural networks (GNNs) apply deep learning techniques to
graph-str...
We propose that automatically adjusting the scale factor in rate-control...
This paper presents a novel approach to haptic teleoperation. Specifical...
We propose a traffic danger recognition model that works with arbitrary
...
Multiplayer Online Battle Arena (MOBA) is currently one of the most popu...