activity
20152025
most citedFog Computing: Focusing on Mobile Users at the Edge

378 citations · 401 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2025

Demystifying Feature Engineering in Malware Analysis of API Call Sequences

Tianheng Qu, Hongsong Zhu, Limin Sun +4

Machine learning (ML) has been widely used to analyze API call sequences in malware analysis, which typically requires the expertise of domain specialists to extract relevant featu…

cs.CL2025★ 1 cited

"Give a Positive Review Only": An Early Investigation Into In-Paper Prompt Injection Attacks and Defenses for AI Reviewers

Qin Zhou, Zhexin Zhang, Zhi Li +1

With the rapid advancement of AI models, their deployment across diverse tasks has become increasingly widespread. A notable emerging application is leveraging AI models to assist…

cs.SE2023★ 6 cited

Asteria-Pro: Enhancing Deep-Learning Based Binary Code Similarity Detection by Incorporating Domain Knowledge

Shouguo Yang, Chaopeng Dong, Yang Xiao +4

The widespread code reuse allows vulnerabilities to proliferate among a vast variety of firmware. There is an urgent need to detect these vulnerable code effectively and efficientl…

cs.NI2016★ 16 cited

A View of Fog Computing from Networking Perspective

Tom H. Luan, Longxiang Gao, Zhi Li +3

With smart devices, particular smartphones, becoming our everyday companions, the ubiquitous mobile Internet and computing applications pervade people's daily lives. With the surge…

cs.NI2015★ 378 cited

Fog Computing: Focusing on Mobile Users at the Edge

Tom H. Luan, Longxiang Gao, Zhi Li +3

With smart devices, particular smartphones, becoming our everyday companions, the ubiquitous mobile Internet and computing applications pervade people daily lives. With the surge d…