Long Zhou
Senior Researcher at 微软
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolLong Zhou is a Senior Researcher at Microsoft Research Asia with nine years of experience in natural and spoken language processing, machine translation, ASR, pre-training and deep learning. He holds a PhD in Pattern Recognition and Intelligent Systems and has blended academic rigor with industry impact through roles at Microsoft and an internship at NVIDIA. At Microsoft he advances core text-to-text and code generation models, contributing to high-visibility projects such as microsoft/CodeXGLUE where he improved training and BLEU evaluation pipelines. Based in Haidian, Beijing, he combines model fine-tuning expertise with practical evaluation work, often bridging research prototypes and production-grade tooling.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Electronic Information Engineering, Bachelor's degree, Electronic Information Engineering at Sichuan UniversityDoctor of Philosophy - PhD, Pattern Recognition and Intelligent System, Doctor of Philosophy - PhD, Pattern Recognition and Intelligent System at University of Chinese Academy of Sciences
Github Skills (14)
transformers10
huggingface-transformers10
transformer10
nlp10
python10
natural-language-processing10
bleu9
machine-learning9
pytorch9
eval8
code-generation8
modeling8
evaluation8
trainings8
Programming languages (3)
Github contributions (5)
microsoft/CodeXGLUE
Sep 2020 - Sep 2020
CodeXGLUE
Role in this project:
ML Engineer
ML EngineerContributions:60 commits, 4 pushes in 27 days
Contributions summary:Long primarily worked on modifying and improving the text-to-text models within the `microsoft/codexglue` repository. Their commits involve changes to the core `run.py` script, which likely handles model training, evaluation, and inference, particularly for code generation tasks. They also updated evaluation scripts related to BLEU score calculation, essential for assessing the quality of text generation. The contributions reflect a focus on model fine-tuning and evaluation in a code-related text generation context.
microsoft/SpeechT5
Apr 2022 - Nov 2022
Unified-Modal Speech-Text Pre-Training for Spoken Language Processing
Contributions:28 commits, 36 pushes, 2 comments in 7 months
language-processingspeechspeech-pretrainingspeech2cspeecht5
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