activity
20112023
most citedCompacting Deep Neural Networks for Internet of Things: Methods and Applications

54 citations · 78 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2023★ 6 cited

Adaptive Multi-Agent Deep Reinforcement Learning for Timely Healthcare Interventions

Thanveer Shaik, Xiaohui Tao, Lin Li +4

Effective patient monitoring is vital for timely interventions and improved healthcare outcomes. Traditional monitoring systems often struggle to handle complex, dynamic environmen…

cs.SI2022★ 1 cited

Infectious Probability Analysis on COVID-19 Spreading with Wireless Edge Networks

Xuran Li, Shuaishuai Guo, Hong-Ning Dai +1

The emergence of infectious disease COVID-19 has challenged and changed the world in an unprecedented manner. The integration of wireless networks with edge computing (namely wirel…

cs.CR2022

Integration of Blockchain and Edge Computing in Internet of Things: A Survey

He Xue, Dajiang Chen, Ning Zhang +2

As an important technology to ensure data security, consistency, traceability, etc., blockchain has been increasingly used in Internet of Things (IoT) applications. The integration…

cs.LG2021★ 54 cited

Compacting Deep Neural Networks for Internet of Things: Methods and Applications

Ke Zhang, Hanbo Ying, Hong-Ning Dai +4

Deep Neural Networks (DNNs) have shown great success in completing complex tasks. However, DNNs inevitably bring high computational cost and storage consumption due to the complexi…

cs.NI2016★ 16 cited

On Capacity and Delay of Multi-channel Wireless Networks with Infrastructure Support

Hong-Ning Dai, Raymond Chi-Wing Wong, Hao Wang

In this paper, we propose a novel multi-channel network with infrastructure support, called an MC-IS network, which has not been studied in the literature. To the best of our knowl…

cs.NI2013

Multi-channel Wireless Networks with Infrastructure Support: Capacity and Delay

Hong-Ning Dai, Raymond Chi-Wing Wong, Qinglin Zhao

In this paper, we propose a novel multi-channel network with infrastructure support, called an \textit{MC-IS} network, which has not been studied in the literature. To the best of…

cs.NI2011★ 1 cited

Link Scheduling in Multi-Transmit-Receive Wireless Networks

Hong-Ning Dai, Soung Chang Liew, Liqun Fu

This paper investigates the problem of link scheduling to meet traffic demands with minimum airtime in a multi-transmit-receive (MTR) wireless network. MTR networks are a new class…