Yuchao Huang
  • Bio
  • Papers
  • News
  • Experience
  • Recent & Upcoming Talks
    • Example Talk
  • Projects
  • Publications
    • CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace
    • Software Testing With Large Language Models: Survey, Landscape, and Vision
    • CoCoFuzzing: Testing Neural Code Models With Coverage-Guided Fuzzing
    • Context-aware Bug Reproduction for Mobile Apps
    • API recommendation for machine learning libraries: how far are we?
    • CLEAR: Contrastive Learning for API Recommendation
    • Find bugs in static bug finders
    • Yet another combination of IR- and neural-based comment generation
  • Blog
    • πŸŽ‰ Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • πŸ“ˆ Communicate your results effectively with the best data visualizations
    • πŸ‘©πŸΌβ€πŸ« Teach academic courses
    • βœ… Manage your projects
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Experience
  • Teaching
    • Learn JavaScript
    • Learn Python

CLEAR: Contrastive Learning for API Recommendation

Jan 1, 2022Β·
Moshi Wei
,
Nima Shiri Harzevili
,
Yuchao Huang
,
Junjie Wang
,
Song Wang
Β· 0 min read
Cite DOI URL
Type
Conference paper
Publication
44th IEEE/ACM 44th International Conference on Software Engineering, ICSE 2022, Pittsburgh, PA, USA, May 25-27, 2022
Last updated on Jan 1, 2022
← API recommendation for machine learning libraries: how far are we? Jan 1, 2022
Find bugs in static bug finders Jan 1, 2022 →

Β© 2024 Me. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder β€” the free, open source website builder that empowers creators.