research
∙
07/24/2023
Learning Resource Allocation Policy: Vertex-GNN or Edge-GNN?
Graph neural networks (GNNs) update the hidden representations of vertic...
share
research
∙
07/08/2021
A Federated Semi-Supervised Learning Approach for Network Traffic Classification
Network traffic classification, a task to classify network traffic and i...
research
∙
01/21/2020
Towards Flexible Wireless Charging for Medical Implants Using Distributed Antenna System
This paper presents the design, implementation and evaluation of In-N-Ou...
research
∙
08/30/2019
Multi-Temporal High Resolution Aerial Image Registration Using Semantic Features
A new type of segmentation-based semantic feature (SegSF) for multi-temp...
research
∙
04/17/2019
Question Guided Modular Routing Networks for Visual Question Answering
Visual Question Answering (VQA) faces two major challenges: how to bette...
research
∙
02/04/2019
Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting
The task of crowd counting in varying density scenes is an extremely dif...
research
∙
06/12/2018