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Author

Tian-Xiang Xu

3 papers indexed here

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#machine learning Open access Mar 2026

Do papers tell the whole story? A benchmark and framework for uncovering hidden implementation gaps in bioinformatics

This work introduces paper-code consistency analysis as a new research perspective and constructs BioCon, the first benchmark dataset for paper-code consistency analysis in bioinformatics, and develops a unified cross-modal analysis framework to systematically investigate this problem from three perspectives.

Tian-Xiang Xu, Xiao-Yi Zhu, Xin Lai et al. · 1 citation
Open access Sep 2026

BioTester: an AI-driven automated testing framework for identifying potential quality risks in bioinformatics software

The proposed BioTester is an oracle-based automated testing framework that integrates retrieval-augmented LLMs with a differential testing strategy to address the long-standing oracle problem in bioinformatics software testing, demonstrating superior defect-detection performance over existing methods on the constructed...

Xin Lian, Jia-Yin Wang, Xiao-Yi Zhu et al. · 0 citations
#software testing Preprint Sep 2026

The Data Problem in Software Vulnerability Analysis: Artifacts, Quality, and Consumption

This work investigates the data behind vulnerability analysis through a dataset-centric taxonomy that separates what an artifact is (code, metadata, patches, tests/PoCs, reasoning, traces), how good it is (realism, label evidence, scale, diversity, leakage, availability), and what it is used for.

Yu Nong, Yao Du, Tian-Xiang Xu et al. · 0 citations

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