Yueke Zhang (张跃柯)
I am a PhD student majoring in Computer Science at Vanderbilt University , specifically Software Engineering direction, expected to graduate in 2027. Here is my CV.
My research interest lies in AI4SE, LLM4Coding and particularly leveraging formal methods to improve the Natural Language-Code alignment.. I am supervised by Prof. Yu Huang and Prof. Kevin Leach
My email is yueke.zhang@vanderbilt.edu. Feel free to contact me.
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Education
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Vanderbilt University
Nashville, United States Aug. 2023-Present
PhD Student in Computer Science
Advisor: Yu Huang
Topic: AI4SE, Automated Debugging, Open Source Software
Southwest University
Chongqing, China Sep. 2019-Jun.2023
Bachelor's Degree in Management Information System
Publications
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Who’s Pushing the Code? An Exploration of GitHub Impersonation
Yueke Zhang,
Anda Liang,
Xiaohan Wang,
Fengwei Zhang,
Kevin Leach,
Yu Huang
IEEE/ACM International Conference on Software Engineering (ICSE 2025, Core-A*)
PDF / code
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Leveraging Evidence Theory to Improve Fault Localization: An Exploratory Study
Yueke Zhang,
Kevin Leach,
Yu Huang
ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2023, Core-A)
PDF / code
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Pre-Training Representations of Binary Code Using Contrastive Learning
Yifan Zhang,
Chen Huang ,
Yueke Zhang,
Kevin Cao,
Scott Thomas Andersen,
Huajie Shao,
Kevin Leach,
Yu Huang
Transactions on Machine Learning Research (TMLR)
PDF / code
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CodeACT-R: A Cognitive Simulation Framework for Code Reading
Yueke Zhang,
Zifan Fang,
Greg Trafton,
Daniel Levin,
Kevin Leach,
Yu Huang,
38th IEEE/ACM International
Conference on Automated Software Engineering (ASE’ 2025, Core-A*), NIER Paper.
paper
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code
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Leveraging Fuzzy System to Reduce Uncertainty of Decision Making in Software Engineering Automation
Yueke Zhang,
Yu Huang,
Genetic and Evolutionary Computation Conference Companion, 2022
Workshop GI
paper
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code
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Leveraging Fuzzy System to Reduce Uncertainty of Decision Making in Software Engineering Automation(GI 2022')
Date: June 8, 2022
Slides: Link
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