Xinying Yang
Researcher at Université Sorbonne Nouvelle
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolXinying Yang is a lecturer in Chinese at Université Sorbonne Nouvelle and a doctoral researcher at INALCO/IFRAE in Paris, specializing in modern Chinese literature and Chinese–French literary relations from the late Qing to the Republican era. Educated at Sun Yat-sen University, Peking University (Yenching Academy) and ENS de Lyon, she researches Chinese literati in 1920s–30s France with a focus on translation, reception and the various literary spaces that shaped modern Chinese writing. She combines nine years of international academic, cultural and editorial experience across universities, diplomatic and publishing institutions. Unusually for a humanities scholar, she has hands-on technical contributions to CMU’s open-source OtterTune project—modifying and testing a DDPG model and simulation environment—showing an interdisciplinary fluency between literary scholarship and computational methods.
9 years of coding experience
Modern Literature, Modern Literature at École normale supérieure de LyonBachelor of Arts - BA, French Language and Literature, Bachelor of Arts - BA, French Language and Literature at Sun Yat-sen UniversityMaster of Arts - MA, Chinese Language and Literature, Master of Arts - MA, Chinese Language and Literature at Peking UniversityDoctor of Philosophy - PhD, Modern Chinese literature, Doctor of Philosophy - PhD, Modern Chinese literature at Institut national des langues et civilisations orientales (Inalco)Master of Arts - MA, China Studies, Master of Arts - MA, China Studies at Yenching Academy of Peking University
French, English, Chinese, Chinese
Github Skills (6)
deep-reinforcement-learning10
pytorch10
machine-learning10
python10
ddpg10
testing9
Programming languages (4)
Github contributions (5)
cmu-db/ottertune
Oct 2019 - Jul 2020
The automatic DBMS configuration tool
Role in this project:
ML Engineer
ML EngineerContributions:116 commits, 70 PRs, 2 pushes in 9 months
Contributions summary:Xinying primarily focused on modifying and testing a DDPG (Deep Deterministic Policy Gradient) model within the OtterTune project, a tool for automatic DBMS configuration. Their contributions included changing expected values in tests, adjusting hyperparameters, and modifying the reward function. They also worked on simulating a DB tuning environment to test DDPG performance.
dbmsmysqldatabase-accessdbtdatabase
yangdsh/DBF
Nov 2016 - Nov 2017
Contributions:1 release, 5 commits, 4 pushes in 1 year
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