Zhijie Liu

SecLab. A Ph.D. student in Computer Science. The Ohio State University, Columbus, OH, USA.

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The Ohio State University

Columbus, OH, USA

Hi, I’m Zhijie Liu. I’m now a first-year Ph.D. student studying at The Ohio State University, under the supervision of Prof. Zhiqiang Lin. Previously, I received my Master’s Degree from ShanghaiTech University, where I was advised by Prof. Yutian Tang, Prof. Liangfeng Zhang (and Prof. Yuqi Chen). During my Master’s studies, I also interned at Tencent Keen Lab, supervised under Researcher Sen Nie and Qiyi Tang, working on binary analysis and threat intelligence researches. My current research interests include Software Security, Software Engineering, program and binary analysis, LLM Security, etc.

Interested in Collaborating?

I’m always open to collaboration opportunities, particularly in the areas of AI plus Program Analysis for Software Security and Software Engineering. Feel free to reach out!

news

Apr 19, 2025 Our paper “LLM-CompDroid: Repairing Configuration Compatibility Bugs in Android Apps with Pre-trained Large Language Models” has been accepted to TOSEM!
Mar 30, 2025 Our paper “KEENHash: Hashing Programs into Function-aware Embeddings for Large-scale Binary Code Similarity Analysis” has been accepted to ISSTA’25!
Jan 28, 2025 Our paper “Sweeping the Blockchain: Unmasking Illicit Accounts in Web3 Scams” has been accepted to Black Hat Asia 2025. Congrats Wenkai!
Oct 10, 2024 I was honored to receive the National Scholarship. Grateful to my supervisors and mentors for their guidance and support!
Oct 1, 2024 I was invited to join the Junior Program Committee of MSR 2025. Please consider submitting your paper!

selected publications

2025

  1. ISSTA’25
    KEENHash: Hashing Programs into Function-aware Embeddings for Large-scale Binary Code Similarity Analysis
    Zhijie Liu, Qiyi Tang, Sen Nie, Shi Wu, Liang Feng Zhang†, and 1 more author
    In The ACM SIGSOFT International Symposium on Software Testing and Analysis, 2025
    HL PDF
  2. TOSEM
    LLM-CompDroid: Repairing Configuration Compatibility Bugs in Android Apps with Pre-trained Large Language Models
    Zhijie Liu, Yutian Tang†*, Meiyun Li, Xin Jin, Yunfei Long, and 2 more authors
    ACM Transactions on Software Engineering and Methodology, 2025

2024

  1. TSE
    No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT
    Zhijie Liu, Yutian Tang†*, Xiapu Luo, Zhou Yuming, and Liang Feng Zhang†
    IEEE Transactions on Software Engineering, 2024
    arXiv
  2. TSE
    ChatGPT vs SBST: A Comparative Assessment of Unit Test Suite Generation
    Yutian Tang†*, Zhijie Liu, Zhichao Zhou, and Xiapu Luo
    IEEE Transactions on Software Engineering, 2024
    arXiv

2023

  1. ASE’23
    Enhancing Malware Detection for Android Apps: Detecting Fine-granularity Malicious Components
    Zhijie Liu, Liang Feng Zhang†, and Yutian Tang†*
    In 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
    HTML PDF Slides