Jiachi Chen

Orcid: 0000-0002-0192-9992

According to our database1, Jiachi Chen authored at least 89 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Agents in software engineering: survey, landscape, and vision.
Autom. Softw. Eng., November, 2025

Web3 x AI Agents: Landscape, Integrations, and Foundational Challenges.
CoRR, August, 2025

Malo in the Code Jungle: Explainable Fault Localization for Decentralized Applications.
IEEE Trans. Software Eng., July, 2025

FORGE: An LLM-driven Framework for Large-Scale Smart Contract Vulnerability Dataset Construction.
CoRR, June, 2025

SWE-Factory: Your Automated Factory for Issue Resolution Training Data and Evaluation Benchmarks.
CoRR, June, 2025

Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol Ecosystem.
CoRR, June, 2025

When Crypto Fails: Demystifying Cryptographic Defects in Ethereum Smart Contracts.
IEEE Trans. Software Eng., May, 2025

NumScout: Unveiling Numerical Defects in Smart Contracts Using LLM-Pruning Symbolic Execution.
IEEE Trans. Software Eng., May, 2025

When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?
ACM Trans. Softw. Eng. Methodol., May, 2025

SmartOracle: Generating Smart Contract Oracle via Fine-Grained Invariant Detection.
IEEE Trans. Software Eng., April, 2025

Towards an Understanding of Context Utilization in Code Intelligence.
CoRR, April, 2025

Towards an understanding of large language models in software engineering tasks.
Empir. Softw. Eng., March, 2025

Unity is Strength: Enhancing Precision in Reentrancy Vulnerability Detection of Smart Contract Analysis Tools.
IEEE Trans. Software Eng., January, 2025

Detecting Reentrancy Vulnerabilities for Solidity Smart Contracts With Contract Standards-Based Rules.
IEEE Trans. Inf. Forensics Secur., 2025

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation.
Proc. ACM Softw. Eng., 2025

Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models.
Proc. ACM Softw. Eng., 2025

Copy-and-Paste? Identifying EVM-Inequivalent Code Smells in Multi-chain Reuse Contracts.
Proc. ACM Softw. Eng., 2025

OmniGIRL: A Multilingual and Multimodal Benchmark for GitHub Issue Resolution.
Proc. ACM Softw. Eng., 2025

Large-scale EM data reveals myelinated axonal changes and altered connectivity in the corpus callosum of an autism mouse model.
Frontiers Neuroinformatics, 2025

Demystifying and Detecting Cryptographic Defects in Ethereum Smart Contracts.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Automated Test Generation For Smart Contracts via On-Chain Test Case Augmentation and Migration.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Hyperion: Unveiling DApp Inconsistencies Using LLM and Dataflow-Guided Symbolic Execution.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Enhancing the Open Network: Definition and Automated Detection of Smart Contract Defects.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Definition and Detection of Centralization Defects in Smart Contracts.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

RLCoder: Reinforcement Learning for Repository-Level Code Completion.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024
Angels or demons: investigating and detecting decentralized financial traps on ethereum smart contracts.
Autom. Softw. Eng., November, 2024

DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects.
IEEE Trans. Software Eng., June, 2024

CRPWarner: Warning the Risk of Contract-Related Rug Pull in DeFi Smart Contracts.
IEEE Trans. Software Eng., June, 2024

Market Manipulation of Cryptocurrencies: Evidence from Social Media and Transaction Data.
ACM Trans. Internet Techn., May, 2024

Efficiently Detecting Reentrancy Vulnerabilities in Complex Smart Contracts.
Proc. ACM Softw. Eng., 2024

Defining and Detecting the Defects of the Large Language Model-based Autonomous Agents.
CoRR, 2024

RepoTransBench: A Real-World Benchmark for Repository-Level Code Translation.
CoRR, 2024

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation.
CoRR, 2024

MCGMark: An Encodable and Robust Online Watermark for LLM-Generated Malicious Code.
CoRR, 2024

RLCoder: Reinforcement Learning for Repository-Level Code Completion.
CoRR, 2024

Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models.
CoRR, 2024

An Empirical Study on Low Code Programming using Traditional vs Large Language Model Support.
CoRR, 2024

RMCBench: Benchmarking Large Language Models' Resistance to Malicious Code.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

DAppFL: Just-in-Time Fault Localization for Decentralized Applications in Web3.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Empirical Study of Move Smart Contract Security: Introducing MoveScan for Enhanced Analysis.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Identifying Smart Contract Security Issues in Code Snippets from Stack Overflow.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

RepoMinCoder: Improving Repository-Level Code Generation Based on Information Loss Screening.
Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

The Dark Side of NFTs: A Large-Scale Empirical Study of Wash Trading.
Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

When Contracts Meets Crypto: Exploring Developers' Struggles with Ethereum Cryptographic APIs.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Uncover the Premeditated Attacks: Detecting Exploitable Reentrancy Vulnerabilities by Identifying Attacker Contracts.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Revealing Hidden Threats: An Empirical Study of Library Misuse in Smart Contracts.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

CoSTV: Accelerating Code Search with Two-Stage Paradigm and Vector Retrieval.
Proceedings of the 31st Asia-Pacific Software Engineering Conference, 2024

2023
Towards Automatically Localizing Function Errors in Mobile Apps With User Reviews.
IEEE Trans. Software Eng., April, 2023

Active IRS-Assisted Integrated Sensing and Communication in C-RAN.
IEEE Wirel. Commun. Lett., March, 2023

Large-Scale Empirical Study of Inline Assembly on 7.6 Million Ethereum Smart Contracts.
IEEE Trans. Software Eng., February, 2023

The Dark Side of NFTs: A Large-Scale Empirical Study of Wash Trading.
CoRR, 2023

A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends.
CoRR, 2023

When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?
CoRR, 2023

Towards an Understanding of Large Language Models in Software Engineering Tasks.
CoRR, 2023

To Healthier Ethereum: A Comprehensive and Iterative Smart Contract Weakness Enumeration.
CoRR, 2023

An overview of Web3.0 Technology: Infrastructure, Applications, and Popularity.
CoRR, 2023

Automatic Identification of Crash-inducing Smart Contracts.
Proceedings of the IEEE International Conference on Software Analysis, 2023

DeFiWarder: Protecting DeFi Apps from Token Leaking Vulnerabilities.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Definition and Detection of Defects in NFT Smart Contracts.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Toward Automated Detecting Unanticipated Price Feed in Smart Contract.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

DeFiTainter: Detecting Price Manipulation Vulnerabilities in DeFi Protocols.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Can Neural Networks Help Smart Contract Testing? An Empirical Study.
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

Turn the Rudder: A Beacon of Reentrancy Detection for Smart Contracts on Ethereum.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Exploring Heterogeneous Decentralized Markets in DeFi and NFT on Ethereum Blockchain.
Proceedings of the 10th IEEE International Conference on Cyber Security and Cloud Computing, 2023

2022
Maintaining Ethereum Smart Contracts by Finding and Detecting Defects.
PhD thesis, 2022

DefectChecker: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode.
IEEE Trans. Software Eng., 2022

Defining Smart Contract Defects on Ethereum.
IEEE Trans. Software Eng., 2022

Why Do Smart Contracts Self-Destruct? Investigating the Selfdestruct Function on Ethereum.
ACM Trans. Softw. Eng. Methodol., 2022

Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021
Where2Change: Change Request Localization for App Reviews.
IEEE Trans. Software Eng., 2021

PPChecker: Towards Accessing the Trustworthiness of Android Apps' Privacy Policies.
IEEE Trans. Software Eng., 2021

GasChecker: Scalable Analysis for Discovering Gas-Inefficient Smart Contracts.
IEEE Trans. Emerg. Top. Comput., 2021

Maintenance-related concerns for post-deployed Ethereum smart contract development: issues, techniques, and future challenges.
Empir. Softw. Eng., 2021

Smart Contract Security: A Practitioners' Perspective: The Artifact of a Paper Accepted in the 43rd IEEE/ACM International Conference on Software Engineering (ICSE 2021).
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

Smart Contract Security: a Practitioners' Perspective.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
Understanding Ethereum via Graph Analysis.
ACM Trans. Internet Techn., 2020

Maintaining Smart Contracts on Ethereum: Issues, Techniques, and Future Challenges.
CoRR, 2020

Finding Ethereum Smart Contracts Security Issues by Comparing History Versions.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

2019
Bug Reports for Desktop Software and Mobile Apps in GitHub: What's the Difference?
IEEE Softw., 2019

Domain Specific Code Smells in Smart Contracts.
CoRR, 2019

DataEther: Data Exploration Framework For Ethereum.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018
Understanding Ethereum via Graph Analysis.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Towards saving money in using smart contracts.
Proceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results, 2018

Localizing Function Errors in Mobile Apps with User Reviews.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

2017
Bug report enrichment with application of automated fixer recommendation.
Proceedings of the 25th International Conference on Program Comprehension, 2017

An Adaptive Gas Cost Mechanism for Ethereum to Defend Against Under-Priced DoS Attacks.
Proceedings of the Information Security Practice and Experience, 2017

2016
Towards more accurate severity prediction and fixer recommendation of software bugs.
J. Syst. Softw., 2016


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