activity
20232025
most citedWhen ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?

73 citations · 99 across the 13 of their papers we have counts for

collaborators

15 papers

cs.SE2025

Trace: Securing Smart Contract Repository Against Access Control Vulnerability

Chong Chen, Jiachi Chen, Lingfeng Bao +7

Smart contract vulnerabilities, particularly improper Access Control that allows unauthorized execution of restricted functions, have caused billions of dollars in losses. GitHub h…

cs.AI2025

Coinvisor: An RL-Enhanced Chatbot Agent for Interactive Cryptocurrency Investment Analysis

Chong Chen, Ze Liu, Lingfeng Bao +4

The cryptocurrency market offers significant investment opportunities but faces challenges including high volatility and fragmented information. Data integration and analysis are e…

cs.CY2025

Web3 x AI Agents: Landscape, Integrations, and Foundational Challenges

Yiming Shen, Jiashuo Zhang, Zhenzhe Shao +6

The convergence of Web3 technologies and AI agents is a rapidly evolving frontier that is reshaping decentralized ecosystems. This paper presents the first comprehensive landscape…

cs.SE2025★ 1 cited

When Large Language Models Meet UAV Projects: An Empirical Study from Developers' Perspective

Yihua Chen, Xingle Que, Jiashuo Zhang +4

In recent years, unmanned aerial vehicles (UAVs) have become increasingly popular in our daily lives and have attracted significant research interest in software engineering. At th…

cs.CR2025★ 2 cited

FORGE: An LLM-driven Framework for Large-Scale Smart Contract Vulnerability Dataset Construction

Jiachi Chen, Yiming Shen, Jiashuo Zhang +7

High-quality smart contract vulnerability datasets are critical for evaluating security tools and advancing smart contract security research. Two major limitations of current manua…

cs.CR2025

Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol (MCP) Ecosystem

Hao Song, Yiming Shen, Wenxuan Luo +6

The Model Context Protocol (MCP) is an emerging standard designed to enable seamless interaction between Large Language Model (LLM) applications and external tools or resources. Wi…

cs.CR2025

Automating Function-Level TARA for Automotive Full-Lifecycle Security

Yuqiao Yang, Yongzhao Zhang, Wenhao Liu +9

As modern vehicles evolve into intelligent and connected systems, their growing complexity introduces significant cybersecurity risks. Threat Analysis and Risk Assessment (TARA) ha…

cs.SE2025

NumScout: Unveiling Numerical Defects in Smart Contracts using LLM-Pruning Symbolic Execution

Jiachi Chen, Zhenzhe Shao, Shuo Yang +5

In recent years, the Ethereum platform has witnessed a proliferation of smart contracts, accompanied by exponential growth in total value locked (TVL). High-TVL smart contracts oft…

cs.SE2025

Enhancing The Open Network: Definition and Automated Detection of Smart Contract Defects

Hao Song, Teng Li, Jiachi Chen +6

The Open Network (TON), designed to support Telegram's extensive user base of hundreds of millions, has garnered considerable attention since its launch in 2022. FunC is the most p…

cs.SE2024★ 9 cited

RMCBench: Benchmarking Large Language Models' Resistance to Malicious Code

Jiachi Chen, Qingyuan Zhong, Yanlin Wang +6

The emergence of Large Language Models (LLMs) has significantly influenced various aspects of software development activities. Despite their benefits, LLMs also pose notable risks,…

cs.CR2024★ 1 cited

Demystifying and Detecting Cryptographic Defects in Ethereum Smart Contracts

Jiashuo Zhang, Yiming Shen, Jiachi Chen +5

Ethereum has officially provided a set of system-level cryptographic APIs to enhance smart contracts with cryptographic capabilities. These APIs have been utilized in over 10% of E…

cs.SE2024★ 12 cited

Identifying Smart Contract Security Issues in Code Snippets from Stack Overflow

Jiachi Chen, Chong Chen, Jiang Hu +4

Smart contract developers frequently seek solutions to developmental challenges on Q&A platforms such as Stack Overflow (SO). Although community responses often provide viable solu…

cs.SE2024★ 1 cited

An Empirical Study on Low-Code Programming using Traditional vs Large Language Model Support

Yongkun Liu, Jiachi Chen, Tingting Bi +6

Low-code programming (LCP) refers to programming using models at higher levels of abstraction, resulting in less manual and more efficient programming, and reduced learning effort…

cs.SE2023

When Contracts Meets Crypto: Exploring Developers' Struggles with Ethereum Cryptographic APIs

Jiashuo Zhang, Jiachi Chen, Zhiyuan Wan +3

To empower smart contracts with the promising capabilities of cryptography, Ethereum officially introduced a set of cryptographic APIs that facilitate basic cryptographic operation…

cs.SE2023★ 73 cited

When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?

Chong Chen, Jianzhong Su, Jiachi Chen +7

With the development of blockchain technology, smart contracts have become an important component of blockchain applications. Despite their crucial role, the development of smart c…