Xiuwei Shang

Orcid: 0009-0009-6660-9947

According to our database1, Xiuwei Shang authored at least 16 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
BinMetric: A Comprehensive Binary Analysis Benchmark for Large Language Models.
CoRR, May, 2025

CompileAgent: Automated Real-World Repo-Level Compilation with Tool-Integrated LLM-based Agent System.
CoRR, May, 2025

An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding.
CoRR, April, 2025

Beyond the Edge of Function: Unraveling the Patterns of Type Recovery in Binary Code.
CoRR, March, 2025

CompileAgent: Automated Real-World Repo-Level Compilation with Tool-Integrated LLM-based Agent System.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Analyzing and Detecting Information Types of Developer Live Chat Threads.
ACM Trans. Softw. Eng. Methodol., June, 2024

AutoPT: How Far Are We from the End2End Automated Web Penetration Testing?
CoRR, 2024

Binary Code Similarity Detection via Graph Contrastive Learning on Intermediate Representations.
CoRR, 2024

How Far Have We Gone in Stripped Binary Code Understanding Using Large Language Models.
CoRR, 2024

FoC: Figure out the Cryptographic Functions in Stripped Binaries with LLMs.
CoRR, 2024

DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SemGIR: Semantic-Guided Image Regeneration Based Method for AI-generated Image Detection and Attribution.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

How Far Have We Gone in Binary Code Understanding Using Large Language Models.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

RealVul: Can We Detect Vulnerabilities in Web Applications with LLM?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
An data augmentation method for source code summarization.
Neurocomputing, September, 2023

2022
Do Not Have Enough Data? An Easy Data Augmentation for Code Summarization.
Proceedings of the 13th IEEE International Symposium on Parallel Architectures, 2022


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