Yuan Huang

Orcid: 0000-0002-9548-0208

Affiliations:
  • Sun Yat-sen University, School of Data and Computer Science / National Engineering Research Center of Digital Life, Guangzhou, China


According to our database1, Yuan Huang authored at least 46 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Do Code Summarization Models Process Too Much Information? Function Signature May Be All That Is Needed.
ACM Trans. Softw. Eng. Methodol., July, 2024

Smart Contract Code Repair Recommendation based on Reinforcement Learning and Multi-metric Optimization.
ACM Trans. Softw. Eng. Methodol., May, 2024

Towards automatically identifying the co-change of production and test code.
Softw. Test. Verification Reliab., May, 2024

An empirical study of code reuse between GitHub and stack overflow during software development.
J. Syst. Softw., April, 2024

Snippet Comment Generation Based on Code Context Expansion.
ACM Trans. Softw. Eng. Methodol., January, 2024

Ethereum Transaction Replay Platform Based on State-Wise Account Input Data.
IEEE Trans. Serv. Comput., 2024

JIT-Smart: A Multi-task Learning Framework for Just-in-Time Defect Prediction and Localization.
Proc. ACM Softw. Eng., 2024

Generative Software Engineering.
CoRR, 2024

Are your comments outdated? Towards automatically detecting code-comment consistency.
CoRR, 2024

iJTyper: An Iterative Type Inference Framework for Java by Integrating Constraint- and Statistically-based Methods.
CoRR, 2024

The Sword of Damocles: Upgradeable Smart Contract in Ethereum.
Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

ESGen: Commit Message Generation Based on Edit Sequence of Code Change.
Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 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

Adversarial Attack and Robustness Improvement on Code Summarization.
Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

2023
An empirical study on real bug fixes from solidity smart contract projects.
J. Syst. Softw., October, 2023

Studying differentiated code to support smart contract update.
Empir. Softw. Eng., October, 2023

A Comparative Study on Method Comment and Inline Comment.
ACM Trans. Softw. Eng. Methodol., September, 2023

BCGen: a comment generation method for bytecode.
Autom. Softw. Eng., 2023

Security Code Recommendations for Smart Contract.
Proceedings of the IEEE International Conference on Software Analysis, 2023

SyntaxLineDP: a Line-level Software Defect Prediction Model based on Extended Syntax Information.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

2022
Change-Patterns Mapping: A Boosting Way for Change Impact Analysis.
IEEE Trans. Software Eng., 2022

Code Review Knowledge Perception: Fusing Multi-Features for Salient-Class Location.
IEEE Trans. Software Eng., 2022

Characterizing and Detecting Gas-Inefficient Patterns in Smart Contracts.
J. Comput. Sci. Technol., 2022

Reviewing rounds prediction for code patches.
Empir. Softw. Eng., 2022

An Empirical Study on Real Bug Fixes in Smart Contracts Projects.
CoRR, 2022

GOV: A Verification Method for Smart Contract Gas-Optimization.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Towards exploring the code reuse from stack overflow during software development.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

Dynamic Metric Learning with Cross-Level Concept Distillation.
Proceedings of the Computer Vision, 2022

2021
Understanding Code Reuse in Smart Contracts.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

An Empirical Study of Solidity Language Features.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

2020
Learning Code Context Information to Predict Comment Locations.
IEEE Trans. Reliab., 2020

Does your code need comment?
Softw. Pract. Exp., 2020

CommtPst: Deep learning source code for commenting positions prediction.
J. Syst. Softw., 2020

Learning Human-Written Commit Messages to Document Code Changes.
J. Comput. Sci. Technol., 2020

Towards automatically generating block comments for code snippets.
Inf. Softw. Technol., 2020

Deciphering Cryptocurrencies by Reverse Analyzing on Smart Contracts.
Proceedings of the Blockchain and Trustworthy Systems - Second International Conference, 2020

2019
Parallel simulation model for heat and moisture transfer of clothed human body.
J. Supercomput., 2019

Automatically detecting the scopes of source code comments.
J. Syst. Softw., 2019

Recommending differentiated code to support smart contract update.
Proceedings of the 27th International Conference on Program Comprehension, 2019

Would the Patch Be Quickly Merged?
Proceedings of the Blockchain and Trustworthy Systems - First International Conference, 2019

2018
Salient-class location: help developers understand code change in code review.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Guiding developers to make informative commenting decisions in source code.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

2017
Using discriminative feature in software entities for relevance identification of code changes.
J. Softw. Evol. Process., 2017

Mining Version Control System for Automatically Generating Commit Comment.
Proceedings of the 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2017

2015
Topic Matching Based Change Impact Analysis from Feature on User Interface of Mobile Apps.
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015

2014
A Probabilistic Neural Network-Based Approach for Related Software Changes Detection.
Proceedings of the 21st Asia-Pacific Software Engineering Conference, 2014


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