activity
20172022
most citedResource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey

172 citations · 187 across the 7 of their papers we have counts for

collaborators

8 papers

cs.NI2022

Task Offloading with Multi-Tier Computing Resources in Next Generation Wireless Networks

Kunlun Wang, Jiong Jin, Yang Yang +4

With the development of next-generation wireless networks, the Internet of Things (IoT) is evolving towards the intelligent IoT (iIoT), where intelligent applications usually have…

cs.RO2021★ 172 cited

Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey

Mahbuba Afrin, Jiong Jin, Akhlaqur Rahman +3

Robotic applications nowadays are widely adopted to enhance operational automation and performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0, agriculture,…

cs.LG2021

Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses

Yao Deng, Tiehua Zhang, Guannan Lou +3

The rapid development of artificial intelligence, especially deep learning technology, has advanced autonomous driving systems (ADSs) by providing precise control decisions to coun…

cs.CR2021★ 2 cited

Too Expensive to Attack: A Joint Defense Framework to Mitigate Distributed Attacks for the Internet of Things Grid

Jianhua Li, Ximeng Liu, Jiong Jin +1

The distributed denial of service (DDoS) attack is detrimental to businesses and individuals as we are heavily relying on the Internet. Due to remarkable profits, crackers favor DD…

cs.CR2020★ 3 cited

A Fast and Scalable Authentication Scheme in IoT for Smart Living

Jianhua Li, Jiong Jin, Lingjuan Lyu +4

Numerous resource-limited smart objects (SOs) such as sensors and actuators have been widely deployed in smart environments, opening new attack surfaces to intruders. The severe se…

eess.SP2020★ 1 cited

Can Steering Wheel Detect Your Driving Fatigue?

Jianchao Lu, Xi Zheng, Tianyi Zhang +5

Automated Driving System (ADS) has attracted increasing attention from both industrial and academic communities due to its potential for increasing the safety, mobility and efficie…

cs.CR2019

Towards Fair and Privacy-Preserving Federated Deep Models

Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar +5

The current standalone deep learning framework tends to result in overfitting and low utility. This problem can be addressed by either a centralized framework that deploys a centra…

cs.RO2017★ 9 cited

Robotic Wireless Sensor Networks

Pradipta Ghosh, Andrea Gasparri, Jiong Jin +1

In this chapter, we present a literature survey of an emerging, cutting-edge, and multi-disciplinary field of research at the intersection of Robotics and Wireless Sensor Networks…