2 citations · 2 across the 6 of their papers we have counts for
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cs.SE2025
Guided Debugging of Auto-Translated Code Using Differential Testing
Shengnan Wu, Xinyu Sun, Xin Wang +1
Large Language Models (LLMs) hold great promise in the task of code translation. However, the lack of explainability complicates the identification of the inevitable translation er…
cs.SE2024
Combating Missed Recalls in E-commerce Search: A CoT-Prompting Testing Approach
Shengnan Wu, Yongxiang Hu, Yingchuan Wang +6
Search components in e-commerce apps, often complex AI-based systems, are prone to bugs that can lead to missed recalls - situations where items that should be listed in search res…
cs.SE2022★ 2 cited
Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing
Jiazhen Gu, Xuchuan Luo, Yangfan Zhou +1
Deep learning (DL) techniques are proven effective in many challenging tasks, and become widely-adopted in practice. However, previous work has shown that DL libraries, the basis o…