WANG Yue

Research Scientist at Salesforce Research

Singapore, China
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Summary

🤩
Rockstar
WANG Yue is a research scientist with 11 years of experience, currently building large language models for code at Salesforce AI Research from Singapore. He focuses on training, evaluation, and hyperparameter tuning for code generation tasks and contributes engineering work to the influential CodeT5 open-source project. Comfortable iterating on experiment scripts and configurations, he bridges research ideas and reproducible training pipelines to accelerate model development. His hands-on role in model refinement and defect-detection tasks highlights a pragmatic orientation toward production-quality code intelligence.
code11 years of coding experience
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Github Skills (10)

code-generation10
large-language-models10
python10
modeling9
trainings9
machine-learning9
bash9
pytorch8
transformers8
tensorboard7

Programming languages (3)

JavaScriptJupyter NotebookPython

Github contributions (5)

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salesforce/CodeT5

Sep 2021 - Jul 2022

Home of CodeT5: Open Code LLMs for Code Understanding and Generation
Role in this project:
userML Engineer
Contributions:25 commits, 1 PR, 39 pushes in 10 months
Contributions summary:WANG primarily contributes to the codebase by updating scripts and configurations related to training and evaluation of code generation models. The commits involve modifications to bash scripts for experiment execution, Python scripts for running experiments, and configuration files. The user appears to be involved in model training, evaluation, and hyperparameter tuning for different code generation tasks, including code summarization, refinement, and defect detection.
nlppytorchlanguage-modelcode-generationcodex
Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
Contributions:34 commits, 3 PRs, 32 pushes in 1 year 9 months
pre-trained-modelvision-and-languagepretrainingmultimodal-deep-learningbert
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