activity
20232026
most citedIsolating Compiler Bugs by Generating Effective Witness Programs with Large Language Models

15 citations · 15 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE2026

Automated Lemma Discovery in Agentic Program Verification

Huan Zhao, Haoxin Tu, Zhengyao Liu +2

Deductive verification provides strong correctness guarantees for code by extracting verification conditions (VCs) and writing formal proofs for them. The expertise-intensive task…

cs.SE2025

Agentic Verification of Software Systems

Haoxin Tu, Huan Zhao, Yahui Song +3

Automatically generated code is gaining traction recently, owing to the prevalence of Large Language Models (LLMs). Further, the AlphaProof initiative has demonstrated the possibil…

cs.SE2025

Cottontail: Large Language Model-Driven Concolic Execution for Highly Structured Test Input Generation

Haoxin Tu, Seongmin Lee, Yuxian Li +3

How can we perform concolic execution to generate highly structured test inputs for systematically testing parsing programs? Existing concolic execution engines are significantly r…

cs.SE2024

Vital: Vulnerability-Oriented Symbolic Execution via Type-Unsafe Pointer-Guided Monte Carlo Tree Search

Haoxin Tu, Lingxiao Jiang, Marcel Böhme

How to find memory safety bugs efficiently when navigating a symbolic execution tree that suffers from path explosion? Existing solutions either adopt path search heuristics to max…

cs.SE2023★ 15 cited

Isolating Compiler Bugs by Generating Effective Witness Programs with Large Language Models

Haoxin Tu, Zhide Zhou, He Jiang +3

Compiler bugs pose a significant threat to safety-critical applications, and promptly as well as effectively isolating these bugs is crucial for assuring the quality of compilers.…