黄芋超 ☕️
黄芋超 Huang Yu Chao

Ph.D. Candidate

yuchao2019@iscas.ac.cn

About Me

My name is Yuchao Huang, and I am a soon-to-be graduate with a Ph.D. in Software Engineering from the Institute of Software, Chinese Academy of Sciences. Under the guidance of my esteemed advisor, Professor Yuchao Huang, I have developed a strong foundation in software development and research methodologies, and I have published several papers in top software engineering conferences or journals such as ICSE, FSE, TSE, etc. I am now seeking a postdoctoral position at an international university where I can further my research and contribute to innovative projects.

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Interests
  • Artificial Intelligence
  • Large Language Model
  • Mobile application Testing
Education

  • PhD Software Engineering

    Institute of Software (ISCAS)

  • MEng Software Engineering

    Institute of Software (ISCAS)

  • BSc Computer Science and Technology

    University of Electronic Science and Technology of China

Recent Publications
Yuchao Huang, Junjie Wang, Zhe Liu, Yawen Wang, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang (2024). CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace. Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, ICSE 2024, Lisbon, Portugal, April 14-20, 2024.
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Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, Qing Wang (2024). Software Testing With Large Language Models: Survey, Landscape, and Vision. IEEE Trans. Software Eng..
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Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang (2023). CoCoFuzzing: Testing Neural Code Models With Coverage-Guided Fuzzing. IEEE Trans. Reliab..
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Yuchao Huang, Junjie Wang, Zhe Liu, Song Wang, Chunyang Chen, Mingyang Li, Qing Wang (2023). Context-aware Bug Reproduction for Mobile Apps. 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20, 2023.
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Moshi Wei, Yuchao Huang, Junjie Wang, Jiho Shin, Nima Shiri Harzevili, Song Wang (2022). API recommendation for machine learning libraries: how far are we?. Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2022, Singapore, Singapore, November 14-18, 2022.
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