Jiayuan Zhou

Orcid: 0000-0002-5181-3146

According to our database1, Jiayuan Zhou authored at least 24 papers between 2019 and 2025.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
An Empirical Study on Vulnerability Disclosure Management of Open Source Software Systems.
ACM Trans. Softw. Eng. Methodol., September, 2025

MoEVD: Enhancing Vulnerability Detection by Mixture-of-Experts (MoE).
CoRR, January, 2025

Code Change Intention, Development Artifact, and History Vulnerability: Putting Them Together for Vulnerability Fix Detection by LLM.
Proc. ACM Softw. Eng., 2025

One-for-All Does Not Work! Enhancing Vulnerability Detection by Mixture-of-Experts (MoE).
Proc. ACM Softw. Eng., 2025

From Industrial Practices to Academia: Uncovering the Gap in Vulnerability Research and Practice.
Proceedings of the 22nd IEEE/ACM International Conference on Mining Software Repositories, 2025

Similar but Patched Code Considered Harmful: The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024
VFDelta: A Framework for Detecting Silent Vulnerability Fixes by Enhancing Code Change Learning.
CoRR, 2024

Unveil the Mystery of Critical Software Vulnerabilities.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Silent Taint-Style Vulnerability Fixes Identification.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

An Empirical Study of Automatic Program Repair Techniques for Injection Vulnerabilities.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

Towards More Practical Automation of Vulnerability Assessment.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
Multi-Granularity Detector for Vulnerability Fixes.
IEEE Trans. Software Eng., August, 2023

Asynchronous and Distributed Data Augmentation for Massive Data Settings.
J. Comput. Graph. Stat., 2023

CoLeFunDa: Explainable Silent Vulnerability Fix Identification.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Understanding the Design Rhythm of Vortex via Visualization.
Proceedings of the HCI International 2023 - Late Breaking Papers, 2023

2022
Studying donations and their expenses in open source projects: a case study of GitHub projects collecting donations through open collectives.
Empir. Softw. Eng., 2022

Automated unearthing of dangerous issue reports.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

MVSalNet: Multi-view Augmentation for RGB-D Salient Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Studying the Association Between Bountysource Bounties and the Issue-Addressing Likelihood of GitHub Issue Reports.
IEEE Trans. Software Eng., 2021

Studying backers and hunters in bounty issue addressing process of open source projects.
Empir. Softw. Eng., 2021

Finding A Needle in a Haystack: Automated Mining of Silent Vulnerability Fixes.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020
Studying the Use of Extrinsic Incentives to Support Crowdsourced Software Engineering Activities
PhD thesis, 2020

Bounties on technical Q&A sites: a case study of Stack Overflow bounties.
Empir. Softw. Eng., 2020

2019
Bounties in Open Source Development on GitHub: A Case Study of Bountysource Bounties.
CoRR, 2019


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