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

Jul 29, 2026 Our paper “Lost in Translation, Found in Summary: Summary-Driven Supervision for Cross-Language Code Retrieval” has been accepted to ASE’26. Congrats Yisi!
May 29, 2026 Our paper “Towards Generality: Task-Adaptive Binary Analysis via Semantic Retrieval and Verifiable Reasoning” has been accepted to USENIX Security’26. Congrats Yuzhe!
Apr 30, 2026 Our paper “Position: Web Agents Should Use Typed Actions Instead of Click-Based Browsing” has been accepted to ICML’26 (position track paper). Congrats Linxi!
Dec 15, 2025 Our paper “ScamSweeper: Detecting Illegal Accounts in Web3 Scams via Transactions Analysis” has been accepted to IEEE Transactions on Information Forensics and Security. Congrats Wenkai!
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!

selected publications

2026

  1. ASE’26
    Lost in Translation, Found in Summary: Summary-Driven Supervision for Cross-Language Code Retrieval
    Zhijie Liu§, Yisi Liu§, Linxi Jiang, Yutian Tang, Lili Xiao, and 1 more author
    In 2026 41st IEEE/ACM International Conference on Automated Software Engineering (ASE), 2026
  2. USENIX Sec’26
    Towards Generality: Task-Adaptive Binary Analysis via Semantic Retrieval and Verifiable Reasoning
    Yuzhe Liu§, Zhijie Liu§, Zhengmin Yu, Shu Wang, Ling Jiang, and 4 more authors
    In The 35th USENIX Security Symposium, 2026
    HL PDF

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