Lin Qiu

Jan 8, 2025 | mdpi.com | Kaijie Xu |Xiaochen Zhang |Lin Qiu

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Nov 29, 2024 | mdpi.com | Xin Huang |Lin Qiu

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.

May 31, 2024 | onlinelibrary.wiley.com | Xiangyu Meng |Jian Yu |Wenxiong Shi |Lin Qiu

Conflict of interests The authors declare no conflict of interest. Supporting Information As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors.

Mar 5, 2024 | tandfonline.com | Juan Chen |Lin Qiu |Zhencai Zhu |Ning Sun

?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. AbstractAccording to the infrared patch image (IPI) model theory, the infrared image background has a low rank and the target is sparse. The low-rank model can be used to separate the background and identify the target.

Jan 17, 2024 | amazon.science | Dongyu Ru |Xiangkun Hu |Lin Qiu |Tryambak Gangopadhyay

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with multimodal systems. Key job responsibilities As an Applied Scientist with the AGI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal systems.