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Ying Chen on Muck Rack

Ying Chen

United States
As seen in: Nature, Wiley Online Library, arXiv, Cambridge University Press & Assessment, Epidemiology and Infection, Hubspot Blog, Memory Studies, PLOS, PLOS Medicine, PLOS ONE and
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Articles

Computer Science > Machine Learning

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By Ying Chen
| arXiv
When a trader executes a large order, the relevant question is not \emph{what will the price be?} but \emph{what would the price have been had I not traded?} Market impact is thus a causal quantity, yet classical models (Almgren--Chriss, propagators) regress price on flow, which is biased whenever informed flow moves prices through information as well as trading.
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Development of an interpretable machine-learning model to predict insufficient functional improvement after aquatic therapy in stroke

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By Ying Chen, Jian Zhang, Shuyan Qie
| Frontiers
Abstract Background: Early identification of stroke survivors who are unlikely to achieve clinically meaningful motor improvement after aquatic therapy may help optimize rehabilitation prescriptions and support precision rehabilitation.
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Bulk ferroelectric heterostructures

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By Yizhe Li, Ziqi Yang, Ying Chen, Zhenbo Zhang, Yun-Long Tang, Matthew Smith, Matthew Lindley, Xuezhen Cao, Annette K. Kleppe
| Science Magazine Verified
© 2026 American Association for the Advancement of Science. All rights reserved. AAAS is a partner of HINARI, AGORA, OARE, CHORUS, CLOCKSS, CrossRef and COUNTER.
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