LabCompass

Xiangzhe Xu

Computer Science · Purdue University West Lafayette

Early career · publishing since 2020Rising activity

Publications

42

Citations

286

Est. group size

~8

Recurring co-author estimate

Active years

7

Publishing since 2020

Research summary
AI-generated

Xiangzhe Xu works on software security and program analysis, with a strong recent focus on combining large language models (LLMs) with tools for analyzing binary code (compiled programs without source code) and detecting bugs, malware, and vulnerabilities. Work includes building LLM-based agents that recover meaningful information (like variable names and data structures) from stripped binaries, analyze data flow in code, and audit repositories for security bugs, as well as studying how safe AI coding assistants are against misuse. This research sits at the intersection of software engineering, security verification, and machine learning applied to code.

Binary code analysis and reverse engineeringLLMs for code and security analysisMalware detection and adversary behavior identificationBug detection and program verificationAI coding agent safety

Publication output was minimal before 2020, rose sharply from 2023 to 2024, and has continued at a notable pace into 2025-2026, indicating a growing and increasingly active research output in recent years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 7.4/year recently
1718192020: 3 publications202021: 2 publications212022: 1 publication222023: 12 publications232024: 16 publications16242025: 5 publications252026: 3 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×16
  • Proceedings of the ACM on Programming Languages×2
  • Lecture notes in computer science×2
  • ACM Transactions on Software Engineering and Methodology×1
  • Algal Research×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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