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Junping Yin on Muck Rack

Junping Yin

As seen in: Nature, Annals of the Rheumatic Diseases, MDPI, Arthritis Research & Therapy, The Journal of Clinical Investigation
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Articles

An artificial intelligence-based limited area model for forecasting of surface meteorological variables - Communications Earth & Environment

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By Junping Yin, Juan Zhang, Xuanze Zhang
| Nature Verified
Abstract Artificial intelligence-based models for global weather forecasting have advanced rapidly, but research on high-resolution data-driven limited area models remains scarce. Here we introduce a limited area artificial intelligence-based weather forecasting model with 3 km and 1 h resolutions, utilizing parallel global-local structures to capture multiscale meteorological features.
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Residence of mice in metabolic cages reduces experimental kidney inflammation through stress-induced glucocorticoids

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By JCI Insight, Junping Yin, Clivia Lisowski, Melanie Eichler
| The Journal of Clinical Investigation
Research LetterInflammationNephrology Open Access | 10.1172/jci.insight.189794 JCI Insight. https://doi.org/10.1172/jci.insight.189794. Copyright © 2025, Yin et al. This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. View PDF Version history Version 1 (April 8, 2025): In-Press Preview
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Enhancing Cross-View Geo-Localization Through Global-Local Quadrant Interaction Network

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By Jin Xu, Junping Yin, Juan Zhang, Tianyan Gao
| preprints.org
You are already at the latest version Cross-view geo-localization aims to match images of the same location captured from different perspectives, such as drone and satellite views. This task is inherently challenging due to significant visual discrepancies caused by viewpoint variations. Existing approaches often rely on global descriptors or limited directional cues, failing to effectively integrate diverse spatial information and global-local interactions.
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