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Mengying Zhou

As seen in: arXiv, MDPI, BioRxiv, Aging
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Articles

Computer Science > Artificial Intelligence

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By Mengying Zhou, Haohan He
| arXiv
The rapid advance of smart cities increasingly depends on trajectory data mining, yet underrepresented demographic groups, particularly the elderly, are often sparsely represented in public mobility datasets. This underrepresentation can introduce systematic bias into mobility modeling and downstream urban planning.
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[2411.00882] Technical Report for Soccernet 2023 -- Dense Video Captioning

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By Ruixuan Liu, Shimin Chen, Mengying Zhou, Xinquan Yang
| arXiv
arXiv:2411.00882 (cs) View PDF HTML (experimental) Subjects: Computer Vision and Pattern Recognition (cs.CV) Cite as: arXiv:2411.00882 [cs.CV] (or arXiv:2411.00882v1 [cs.CV] for this version) https://doi.org/10.48550/arXiv.2411.00882 Submission history From: Shimin Chen [ view email] [v1] Thu, 31 Oct 2024 14:06:30 UTC (1,193 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle...
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Identification of molecular characteristics of FUT8 and alteration of core fucosylation in kidney renal clear cell cancer

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By Zhu Xin, Xinyu Wen, Mengying Zhou, Hongli Lin
| Aging Verified
Background: Kidney renal clear cell cancer (KIRC) is a type of urological cancer that occurs worldwide. Core fucosylation (CF), as the most common post-translational modification, is involved in the tumorigenesis. Methods: The alterations of CF-related genes were summarized in pan-cancer. The “ConsensusClusterPlus” package was utilized to identify two CF-related KIRC subtypes. The “ssgsea” function was chosen to estimate the CF score, signaling pathways and cell deaths.
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