
Zhe Jiang
Articles
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Nov 30, 2024 |
mdpi.com | Lu Yao |Dongxu Yang |Zhe Jiang |Yi Liu
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Oct 6, 2024 |
dx.doi.org | Ze-Cheng Yao |Xing Cheng |Zhe Jiang
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Aug 16, 2024 |
bmcpulmmed.biomedcentral.com | Hang Zhou |Zhe Jiang
ReferencesBos LDJ, Ware LB. Acute respiratory distress syndrome: causes, pathophysiology, and phenotypes. Lancet. 2022;400(10358):1145–56. https://doi.org/10.1016/S0140-6736(22)01485-4. Article PubMed Google Scholar Bellani G, Laffey JG, Pham T, Fan E, Brochard L, Esteban A, et al. Epidemiology, patterns of Care, and mortality for patients with Acute Respiratory Distress Syndrome in Intensive Care Units in 50 countries. JAMA. 2016;315(8):788–800. https://doi.org/10.1001/jama.2016.0291.
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Apr 1, 2023 |
nature.com | Zhe Jiang |Xiao-Zhi Liu |Ze-Cheng Yao |Lin Gu |Tang K. Tang |Zhongbin Zhuang | +1 more
AbstractAnion-exchange membrane fuel cells and Zn–air batteries based on non-Pt group metal catalysts typically suffer from sluggish cathodic oxygen reduction. Designing advanced catalyst architectures to improve the catalyst’s oxygen reduction activity and boosting the accessible site density by increasing metal loading and site utilization are potential ways to achieve high device performances.
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Feb 26, 2023 |
arxiv.org | Zhe Jiang
[Submitted on 26 Feb 2023 ( v1 ), last revised 10 Apr 2024 (this version, v4)] Title:A Comprehensive Survey on Uncertainty Quantification for Deep Learning View a PDF of the paper titled A Comprehensive Survey on Uncertainty Quantification for Deep Learning, by Wenchong He and Zhe Jiang View PDF HTML (experimental) Abstract:Deep neural networks (DNNs) have achieved tremendous success in making accurate predictions for computer vision, natural language processing, as well as science and...
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