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20222026
most citedRefining Decompiled C Code with Large Language Models

2 citations · 3 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.SE2026

The Unseen Delta: Characterizing the Compiler Optimization Landscape via Top-Down Differential Analysis

Zhibo Liu, Huaijin Wang, Shuai Wang

Compiler optimizations are essential for achieving high performance in modern software. However, recent studies highlight the persistence of performance bugs, i.e., subtle defects…

cs.SE2026

Instruction Alignment for Binary Code Representation Learning

Huaijin Wang, Shuai Wang

Binary code representation learning is a fundamental problem in software security and reverse engineering. Existing methods mainly learn function-level embeddings that capture coar…

cs.SE2024

Preserving Privacy in Software Composition Analysis: A Study of Technical Solutions and Enhancements

Huaijin Wang, Zhibo Liu, Yanbo Dai +4

Software composition analysis (SCA) denotes the process of identifying open-source software components in an input software application. SCA has been extensively developed and adop…

cs.SE2023★ 2 cited

Refining Decompiled C Code with Large Language Models

Wai Kin Wong, Huaijin Wang, Zongjie Li +5

A C decompiler converts an executable into source code. The recovered C source code, once re-compiled, is expected to produce an executable with the same functionality as the origi…

cs.SE2022

Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings

Zongjie Li, Pingchuan Ma, Huaijin Wang +4

Neural program embeddings have demonstrated considerable promise in a range of program analysis tasks, including clone identification, program repair, code completion, and program…