Xinying Yang
Ph.D Researcher at Institut national des langues et civilisations orientals
Paris, Ile-de-France
Summary
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Rockstar🎓
Top SchoolXinying Yang is a PhD researcher based in Paris specializing in modern Chinese literature with a focus on Chinese–French literary relations and the activities of Chinese literati in France during the 1920s–30s. Trained at Sun Yat-sen University, Yenching Academy (Peking University), ENS de Lyon and now INALCO/IFRAE, she blends archival fieldwork and multilingual scholarship with practical experience in translation, academic communication, and teaching. Her work examines translation, reception, and literary networks across journals, societies and institutions, revealing cultural exchanges that shaped modern Chinese literature. Beyond the humanities, she has applied analytical skills to technical projects—contributing as an ML engineer to the well-known OtterTune DB tuning tool by adapting DDPG models and simulation environments. Fluent in Chinese, French and English, she moves comfortably between academic, diplomatic and publishing contexts, having supported the Beijing Forum, Princeton University Press, UNESCO and the French Embassy. Her profile reflects a rare mix of comparative literature expertise and hands-on computational experimentation that informs both historical insight and methodological innovation.
9 years of coding experience
Modern Literature, Modern Literature at École normale supérieure de LyonMaster of Arts - MA, Chinese Language and Literature, Master of Arts - MA, Chinese Language and Literature at Peking UniversityBachelor of Arts - BA, French Language and Literature, Bachelor of Arts - BA, French Language and Literature at Sun Yat-sen 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)
pytorch10
machine-learning10
deep-reinforcement-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.
dbms
yangdsh/DBF
Nov 2016 - Nov 2017
Contributions:1 release, 5 commits, 4 pushes in 1 year
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