activity
20192023
most citedCombinatorial Resources Auction in Decentralized Edge-Thing Systems Using Blockchain and Differential Privacy

35 citations · 84 across the 8 of their papers we have counts for

collaborators

8 papers

cs.DC2023

Online Container Scheduling for Low-Latency IoT Services in Edge Cluster Upgrade: A Reinforcement Learning Approach

Hanshuai Cui, Zhiqing Tang, Jiong Lou +1

In Mobile Edge Computing (MEC), Internet of Things (IoT) devices offload computationally-intensive tasks to edge nodes, where they are executed within containers, reducing the reli…

cs.DC2023★ 18 cited

A Fast Task Offloading Optimization Framework for IRS-Assisted Multi-Access Edge Computing System

Jianqiu Wu, Zhongyi Yu, Jianxiong Guo +3

Terahertz communication networks and intelligent reflecting surfaces exhibit significant potential in advancing wireless networks, particularly within the domain of aerial-based mu…

cs.DC2023★ 3 cited

An Online Resource Scheduling for Maximizing Quality-of-Experience in Meta Computing

Yandi Li, Jianxiong Guo, Yupeng Li +2

Meta Computing is a new computing paradigm, which aims to solve the problem of computing islands in current edge computing paradigms and integrate all the resources on a network by…

cs.GT2022

Mixed Strategies for Security Games with General Defending Requirements

Rufan Bai, Haoxing Lin, Xinyu Yang +3

The Stackelberg security game is played between a defender and an attacker, where the defender needs to allocate a limited amount of resources to multiple targets in order to minim…

cs.NI2021★ 35 cited

Combinatorial Resources Auction in Decentralized Edge-Thing Systems Using Blockchain and Differential Privacy

Jianxiong Guo, Xingjian Ding, Weijia Jia

With the continuous expansion of Internet of Things (IoT) devices, edge computing mode has emerged in recent years to overcome the shortcomings of traditional cloud computing mode,…

cs.CV2021★ 10 cited

Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric Features

Zekun Sun, Yujie Han, Zeyu Hua +2

Deepfakes is a branch of malicious techniques that transplant a target face to the original one in videos, resulting in serious problems such as infringement of copyright, confusio…

cs.CV2020★ 10 cited

Label Smoothing and Adversarial Robustness

Chaohao Fu, Hongbin Chen, Na Ruan +1

Recent studies indicate that current adversarial attack methods are flawed and easy to fail when encountering some deliberately designed defense. Sometimes even a slight modificati…

cs.IR2019★ 8 cited

Time-sync Video Tag Extraction Using Semantic Association Graph

Wenmian Yang, Kun Wang, Na Ruan +5

Time-sync comments reveal a new way of extracting the online video tags. However, such time-sync comments have lots of noises due to users' diverse comments, introducing great chal…