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Ying Xin

As seen in: Arthritis & Rheumatology, Color Research & Application, Nature, Wiley Online Library, Oxford University Press (OUP), Frontiers, MDPI, The BMJ, Royal Society of Chemistry, BioRxiv and
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Articles

What Makes Social Posts Go “Hot”?: A Multimodal Analysis of Creator-Content-Timing Signals on a Visual Social Platform

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By Yi Wang, Ying Xin
| Dialnet - Universidad de La Rioja
Visual social commerce platforms now mediate much of brand communication and conversion, yet managers still lack clear guidance on how brands and creators should technically design posts that consistently achieve high user engagement under budget and platform constraints. Prior research explains why users engage with brands online, but it mainly focuses on individual motives and message features and largely treats the brand–creator–platform relationship and the post-design process as a black box.
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Advancing target discovery through disease-specific integration of multi-modal target identification models and comprehensive benchmarking system

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By Howell Leung, Chengchen Duan, Jianjiu Chen, Ying Xin, Zetian Zheng, Vladimir Naumov, David Gennert, Man Zhang, Alex Aliper, Feng Ren, Evgeny Izumchenko, Frank W. Pun, Alex Zhavoronkov, Wenhao Gou
| Nature Verified
Abstract Target identification is crucial for drug development. AI-driven approaches leveraging multi-omics and computational modeling can accelerate this process. However, integrating multi-modal data for disease-specific target identification and predicting translational potential remains challenging. Moreover, the absence of a systematic evaluation framework for model performance limits confidence in target reliability.
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Clinical and functional characteristics of the KLF11 (p.R29Q) variant associated with MODY7

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By Yidan Qiao, Mengyang Zhang, Yi SONG, Dan Song, Ying Xin, Guijun Qin, Yanxia Liu
| Frontiers
Abstract Objective: The KLF11 gene can cause maturity-onset diabetes of the young type 7 (MODY7). Currently, there are few reports on MODY7 cases and their clinical and functional characteristics. This study aimed to analyze the clinical and functional features of the KLF11 R29Q variant to provide a basis for the diagnosis and treatment of this disease.
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