Zewen Chi

Researcher at Microsoft

Haidian District, Beijing, China
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Summary

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Senior
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Top School
Zewen Chi is a researcher in General Artificial Intelligence with a decade of experience spanning industry and academia, currently based at Microsoft Research in Beijing. He completed a doctoral program in Artificial Intelligence at Beijing Institute of Technology and has a sustained track record of internships and research roles at leading AI labs including MSRA, Mila, and ByteDance, focusing on language model pre-training and machine translation. Zewen’s work bridges foundational GenAI research and practical system-building, reflecting repeated appointments at Microsoft and a year at Mila that likely broadened his exposure to cross-disciplinary deep learning methods. His public homepage suggests an openness to sharing research, and his career pattern indicates a blend of rigorous academic training with hands-on, production-aware experimentation.
code10 years of coding experience
bookDoctor's Degree Artificial Intelligence, Doctor's Degree Artificial Intelligence at Beijing Institute of Technology
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Github Skills (73)

python10
word-segmentation10
natural-language-generation10
deep-learning10
foundation-models10
pre-trained-model10
text-based10
multimodal10
ml10
tokenizer10
neural-network10
transformer10
nlp10
data-science10
multimodal-deep-learning10

Programming languages (6)

JavaC++MakefileTeXJupyter NotebookPython

Github contributions (5)

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Academic-Hammer/SciTSR

Aug 2019 - Jul 2020

Table structure recognition dataset of the paper: Complicated Table Structure Recognition
Contributions:14 commits, 2 PRs, 13 pushes in 10 months
recognitiondataset
CZWin32768/XNLG

Sep 2019 - Aug 2021

AAAI-20 paper: Cross-Lingual Natural Language Generation via Pre-Training
Contributions:18 commits, 3 PRs, 17 pushes in 1 year 10 months
nlptransformer-architecturenatural-language-generationdeep-learningcross-lingual
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Zewen Chi - Researcher at Microsoft