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Yingying Peng on Muck Rack

Yingying Peng

As seen in: Nature, arXiv, Frontiers, Frontiers in Immunology, MDPI, Taylor & Francis Online, Archives of Public Health, Science Magazine, BioRxiv, Cell Press and
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Articles

Early detection of severe fetal growth restriction using multimodal deep learning based on ultrasound and prenatal biomarkers

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By Jin Wang, Junjun Wang, Yingying Peng
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract Objective To develop and evaluate a multimodal deep learning model that integrates first- and second-trimester ultrasound images with first-trimester maternal serum biomarkers for early prediction of severe fetal growth restriction (FGR).
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Scaffolding human and AI instruction: Neural alignment and learning gains in online education

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By Yingying Peng, Samuel A. Nastase, Yuhan Huang, Yuxi Li, Zhexiao Guo, Ping Li
| Cell Press Verified
We performed ISC analyses on our neural data: (1) between the student and the group average using the leave-one-out approach (computed for all three groups, n = 57) and (2) between the student and the instructor using the pairwise approach (for the no- and human-interaction groups only; n = 39).
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Harnessing diverse hybrid integration for bridging trans-scale multi-dimensional fiber-chip data transmission and processing

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By Guofeng Yan, Kangrui Wang, Chengkun Cai, Min Yang, Weike Zhao, Yingying Peng, Yaocheng Shi, Daoxin Dai, Jian Wang, Guangze Wu
| Nature Verified
Abstract Optical communications have emerged as a promising solution for high-speed modern communication systems and built an important infrastructure for the global information superhighway. Although recent efforts to enhance optical communications have penetrated from long-distance fiber-optic to ultra-short-reach chip-scale data transmission, “Trans-Scale” high-capacity data transmission remains great challenges.
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