research
∙
04/26/2022
Adaptive Pseudo-Siamese Policy Network for Temporal Knowledge Prediction
Temporal knowledge prediction is a crucial task for the event early warn...
share
research
∙
02/19/2022
MixKG: Mixing for harder negative samples in knowledge graph
Knowledge graph embedding (KGE) aims to represent entities and relations...
research
∙
12/17/2021
Knowledge graph enhanced recommender system
Knowledge Graphs (KGs) have shown great success in recommendation. This ...
research
∙
08/02/2021
Dynamic Multi-scale Convolution for Dialect Identification
Time Delay Neural Networks (TDNN)-based methods are widely used in diale...
research
∙
07/06/2021
Multi-Level Graph Contrastive Learning
Graph representation learning has attracted a surge of interest recently...
research
∙
03/22/2021
Stable Haptic Teleoperation of UAVs via Small L_2 Gain and Control Barrier Functions
We present a novel haptic teleoperation approach that considers not only...
research
∙
03/05/2021
Haptic Feedback Improves Human-Robot Agreement and User Satisfaction in Shared-Autonomy Teleoperation
Shared autonomy teleoperation can guarantee safety, but does so by reduc...
research
∙
11/16/2020
Tucker decomposition-based Temporal Knowledge Graph Completion
Knowledge graphs have been demonstrated to be an effective tool for nume...
research
∙
11/10/2020
Self-supervised Graph Representation Learning via Bootstrapping
Graph neural networks (GNNs) apply deep learning techniques to graph-str...
research
∙
11/08/2019
Variable-Scaling Rate Control for Collision-Free Teleoperation of an Unmanned Aerial Vehicle
We propose that automatically adjusting the scale factor in rate-control...
research
∙
11/08/2019
Haptic Teleoperation of UAVs through Control Barrier Functions
This paper presents a novel approach to haptic teleoperation. Specifical...
research
∙
11/29/2018
Traffic Danger Recognition With Surveillance Cameras Without Training Data
We propose a traffic danger recognition model that works with arbitrary ...
research
∙
07/22/2018
