2 citations · 5 across the 6 of their papers we have counts for
6 papers
Recent Advances in Graph-based Machine Learning for Applications in Smart Urban Transportation Systems
Hongde Wu, Sen Yan, Mingming Liu
The Intelligent Transportation System (ITS) is an important part of modern transportation infrastructure, employing a combination of communication technology, information processin…
Topics in Deep Learning and Optimization Algorithms for IoT Applications in Smart Transportation
Hongde Wu
Nowadays, the Internet of Things (IoT) has become one of the most important technologies which enables a variety of connected and intelligent applications in smart cities. The smar…
Lane-GNN: Integrating GNN for Predicting Drivers' Lane Change Intention
Hongde Wu, Mingming Liu
Nowadays, intelligent highway traffic network is playing an important role in modern transportation infrastructures. A variable speed limit (VSL) system can be facilitated in the h…
Optimal Distributed Bandwidth Allocation in NB-IoT Networks
Hongde Wu, Zhengyong Chen, Noel E. O'Connor +1
In this paper, we investigate a key problem of Narrowband-Internet of Things (NB-IoT) in the context of 5G with Mobile Edge Computing (MEC). We address the challenge that IoT devic…
An ADMM-based Optimal Transmission Frequency Management System for IoT Edge Intelligence
Hongde Wu, Noel E. O'Connor, Jennifer Bruton +1
In this paper, we investigate a key problem of Internet of Things (IoT) applications in practice. Our research objective is to optimize the transmission frequencies for a group of…
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes
Zhengyong Chen, Hongde Wu, Noel E. O'Connor +1
Accurately forecasting transportation demand is crucial for efficient urban traffic guidance, control and management. One solution to enhance the level of prediction accuracy is to…