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Nov 25, 2024 | 
dialnet.unirioja.es | Zhiwei Wu
Ayuda Buscar en la ayuda Buscar en la ayuda Active vibration control of rotating smart bidirectional FGPTC subjected to internal mechanical shock [1] Department of Mechanical and Electrical Engineering, Shanxi Institute of Energy, Jinzhong, PR China Localización: Mechanics based design of structures and machines, ISSN 1539-7734, Vol. 52, Nº. 11, 2024, págs.
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Nov 4, 2024 | 
tandfonline.com | Zhiwei Wu |Zhilin Li |Tian Lan
AbstractA map becomes readable and translatable only after the use of labels. High-quality label placement (i.e., labelling) is a combinatorial optimization problem, where one or more objective functions are required. However, such objective functions are still not well achieved in existing methods with commonly used labelling rules (e.g., “avoidance of overlapping labels” and “placement at priority positions”).
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Oct 29, 2024 | 
nature.com | Zhiwei Wu
AbstractThe impacts of Arctic sea ice loss on summertime weather in the Northern Hemisphere have garnered considerable attention. Despite the extensive focus on this relationship, the influence of tropical systems on Arctic regions has been relatively underexplored, with only a limited number of existing studies concentrating exclusively on either dynamic or thermodynamic effects.
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Sep 3, 2024 | 
pericles.pericles-prod.literatumonline.com | Wenbiao Zhang |Weiwei Wu |TAO WANG |Zhiwei Wu
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description adhm202402092-sup-0001-SuppMat.docx3.1 MB Supporting Information adhm202402092-sup-0002-MovieS1.mp43.8 MB Supplemental Movie 1 References 1, , , , , , , J. Diabetes 2019, 11, 522. 2, , , , Eur. J. Prev. Cardiol. 2019, 26, 7. 3, , , , Int. Wound J. 2018, 15, 814. 4, , , , , , , , , , , Adv. Funct. Mater. 2024, 34, 2312140. 5, , , Trends Biotechnol. 2019, 37, 505.
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Jun 13, 2024 | 
amazon.science | Shuai Tang |Zhiwei Wu |Sergul Aydore |Michael Kearns
Recently, diffusion models have become popular tools for image synthesis due to their high-quality outputs. However, like other large models, they may leak private information about their training data. Here, we demonstrate a privacy vulnerability of diffusion models through a membership inference (MI) attack, which aims to identify whether a target example belongs to the training set when given the trained diffusion model.
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Feb 25, 2024 | 
nature.com | Peng Zhang |Zhiwei Wu
AbstractIn July and August 2022, a notable “seesaw” extreme pattern emerged, characterized by the “Yangtze River Valley (YRV) drought” juxtaposed with the “Indus Basin (IB) flood”, leading to enormous economic and human losses. We observed that the “seesaw” extreme pattern concurs with the second-strongest sea surface temperature (SST) gradient between the equatorial central and western Pacific caused by the triple-dip La Niña and western Pacific warming.
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Feb 7, 2024 | 
pubs.rsc.org | Wei Zhang |Xiaohu Wang |Zhiwei Wu
Controlling the morphologies and crystal growth orientations of H-ZSM-5: their impact on the structure-diffusion-performance relationship in the methanol-to-propylene reaction†
In this study, three typical ZSM-5 catalysts with different morphologies and crystal growth orientations were prepared for methanol-to-propylene (MTP) reactions.
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Jan 24, 2024 | 
pubs.rsc.org | Wei Zhang |Xiaohu Wang |Zhiwei Wu |Zhikai Li
Controlling the Morphologies and Crystal Growth Orientations of H-ZSM-5: Their Impact on the Structure-Diffusion-Performance Relationship in the Methanol-to-Propylene Reaction
In this study, three typical ZSM-5 catalysts with different morphologies and crystal growth orientations were prepared for methanol-to-propylene (MTP) reactions.
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Dec 13, 2023 | 
amazon.science | Zhiwei Wu |Shuai Tang |Sergul Aydore |Michael Kearns
Recently, diffusion models have demonstrated great potential for image synthesis due to their ability to generate high-quality synthetic data. However, when applied to sensitive data, privacy concerns have been raised about these models. In this paper, we evaluate the privacy risks of diffusion models through a membership inference (MI) attack, which aims to identify whether a target example is in the training set when given the trained diffusion model.
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Jun 27, 2023 | 
mdpi.com | Peng Zhang |Zhiwei Wu
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