Shasha Li

1 month ago | elifesciences.org | Sytse J Piersma |Shasha Li |Pamela Wong |Michael Bern

eLife Assessment This study on mouse Ly49 receptors expressed on natural killer (NK) cells shows that Ly49A, in the presence of the corresponding MHC class I allele, can lead to NK cell licensing, thereby providing valuable insights into the mechanisms of NK cell modulation by Ly49 receptors. The work may have significant implications for studies of human killer-cell immunoglobulin-like receptors (KIR) expressing and other NK cells. Overall, the study was well-developed with convincing evidence.

Sep 3, 2024 | mdpi.com | Xin A. Liu |Ning Guo |Shasha Li |Mengmeng Duan

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Aug 20, 2024 | preprints.org | Xin A. Liu |Ning Guo |Shasha Li |Mengmeng Duan

PreprintArticleVersion 1This version is not peer-reviewedVersion 1: Received: 20 August 2024 / Approved: 20 August 2024 / Online: 21 August 2024 (00:12:19 CEST)Liu, X.; Guo, N.; Li, S.; Duan, M.; Wang, G.; Zong, M.; Han, S.; Wu, Z.; Liu, F.; Zhang, J. Characterization of the Bax inhibitor-1 Family in Cauliflower and Functional Analysis of BobBIL4. Preprints 2024, 2024081498.

Jul 10, 2024 | mdpi.com | Qian Wang |Shasha Li |Junrong Li |Dong Huang

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.

Jun 13, 2024 | amazon.science | Shasha Li |Ming Du |Arnab Dhua |Shuai Tang

Vision-language transformer models play a pivotal role in e-commerce product search. When using product description (e.g. product title) and product image pairs to train such models, there are often non-visual-descriptive text attributes in the product description, which makes the visual textual alignment challenging. We introduce MultiModal Learning with online Token Pruning (MML-TP).