activity
20122022
most citedeMBB-URLLC Resource Slicing: A Risk-Sensitive Approach

232 citations · 317 across the 8 of their papers we have counts for

collaborators

16 papers

cs.NI20225 cited

Seamless and Energy Efficient Maritime Coverage in Coordinated 6G Space-Air-Sea Non-Terrestrial Networks

Sheikh Salman Hassan, Do Hyeon Kim, Yan Kyaw Tun +3

Non-terrestrial networks (NTNs), which integrate space and aerial networks with terrestrial systems, are a key area in the emerging sixth-generation (6G) wireless networks. As part…

eess.SY2021

Design and Implementation of 5.8GHz RF Wireless PowerTransfer System

Je Hyeon Park, Nguyen Minh Tran, Sa Il Hwang +2

In this paper, we present a 5.8 GHz radio-frequency (RF) wireless power transfer (WPT) system that consists of 64 transmit antennas and 16 receive antennas. Unlike the inductive or…

cs.LG20203 cited

Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems

Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang +5

In recent years, the emerging topics of recommender systems that take advantage of natural language processing techniques have attracted much attention, and one of their applicatio…

cs.CV2020

Hyperspectral-Multispectral Image Fusion with Weighted LASSO

Nguyen Tran, Rupali Mankar, David Mayerich +1

Spectral imaging enables spatially-resolved identification of materials in remote sensing, biomedicine, and astronomy. However, acquisition times require balancing spectral and spa…

cs.AI2020

Distributed and Democratized Learning: Philosophy and Research Challenges

Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar +4

Due to the availability of huge amounts of data and processing abilities, current artificial intelligence (AI) systems are effective in solving complex tasks. However, despite the…

cs.DC2019

Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism

Latif U. Khan, Shashi Raj Pandey, Nguyen H. Tran +4

Recent years have witnessed a rapid proliferation of smart Internet of Things (IoT) devices. IoT devices with intelligence require the use of effective machine learning paradigms.…