1 citations · 1 across the 6 of their papers we have counts for
7 papers
Defending the Peg: Real-Time Dynamic Protection and Anomaly Detection in DeFi Stablecoins
Hengxing Zeng, Shipeng Ye, Xiaoqi Li
With the rapid evolution of the Decentralized Finance (DeFi) ecosystem, stablecoins have emerged as a critical infrastructure bridging the cryptocurrency market with traditional fi…
SCPatcher: Automated Smart Contract Code Repair via Retrieval-Augmented Generation and Knowledge Graph
Xiaoqi Li, Shipeng Ye, Wenkai Li +1
Smart contract vulnerabilities can cause substantial financial losses due to the immutability of code after deployment. While existing tools detect vulnerabilities, they cannot eff…
CKG-LLM: LLM-Assisted Detection of Smart Contract Access Control Vulnerabilities Based on Knowledge Graphs
Xiaoqi Li, Hailu Kuang, Wenkai Li +2
Traditional approaches for smart contract analysis often rely on intermediate representations such as abstract syntax trees, control-flow graphs, or static single assignment form.…
Decentralized COVID-19 Health System Leveraging Blockchain
Lingsheng Chen, Shipeng Ye, Xiaoqi Li
With the development of the Internet, the amount of data generated by the medical industry each year has grown exponentially. The Electronic Health Record (EHR) manages the electro…
A Multi-Layered Security Analysis of Blockchain Systems: From Attack Vectors to Defense and System Hardening
Yuhuan Yang, Shipeng Ye, Xiaoqi Li
The application of Bitcoin enables people to understand blockchain technology gradually. Bitcoin is a decentralized currency that does not rely on third-party credit institutions,…
Smart Contracts in the Real World: A Statistical Exploration of External Data Dependencies
Yishun Wang, Xiaoqi Li, Shipeng Ye +2
Smart contracts with external data are crucial for functionality but pose security and reliability concerns. Statistical and quantitative studies on this interaction are scarce. To…
Polygames: Improved Zero Learning
Tristan Cazenave, Yen-Chi Chen, Guan-Wei Chen +21
Since DeepMind's AlphaZero, Zero learning quickly became the state-of-the-art method for many board games. It can be improved using a fully convolutional structure (no fully connec…