activity
20232025
most citedSmartAxe: Detecting Cross-Chain Vulnerabilities in Bridge Smart Contracts via Fine-Grained Static Analysis

28 citations · 68 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2025

An Empirical Study on Embodied Artificial Intelligence Robot (EAIR) Software Bugs

Zeqin Liao, Zibin Zheng, Peifan Reng +5

Embodied Artificial Intelligence Robots (EAIR) is an emerging and rapidly evolving technological domain. Ensuring their program correctness is fundamental to their successful deplo…

cs.SE2025

Understanding the Sneaky Patterns of Pop-up Windows in the Mobile Ecosystem

Dongpeng Wu, Yuhong Nan, Shaojiang Wang +3

In mobile applications, Pop-up window (PoW) plays a crucial role in improving user experience, guiding user actions, and delivering key information. Unfortunately, the excessive us…

cs.SE202428 cited

SmartAxe: Detecting Cross-Chain Vulnerabilities in Bridge Smart Contracts via Fine-Grained Static Analysis

Zeqin Liao, Yuhong Nan, Henglong Liang +4

With the increasing popularity of blockchain, different blockchain platforms coexist in the ecosystem (e.g., Ethereum, BNB, EOSIO, etc.), which prompts the high demand for cross-ch…

cs.SE202425 cited

SmartState: Detecting State-Reverting Vulnerabilities in Smart Contracts via Fine-Grained State-Dependency Analysis

Zeqin Liao, Sicheng Hao, Yuhong Nan +1

Smart contracts written in Solidity are widely used in different blockchain platforms such as Ethereum, TRON and BNB Chain. One of the unique designs in Solidity smart contracts is…

cs.CR202315 cited

MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning

Zian Jia, Yun Xiong, Yuhong Nan +3

Advance Persistent Threats (APTs), adopted by most delicate attackers, are becoming increasing common and pose great threat to various enterprises and institutions. Data provenance…