Zobrazeno 1 - 10
of 490
pro vyhledávání: '"Li Qiyu"'
Publikováno v:
中西医结合护理, Vol 8, Iss 7, Pp 84-87 (2022)
This article summarized the current situation of early treatment and rehabilitation nursing services for urinary incontinence after stroke in China. The main contents of the article included medication treatment and care, rehabilitation training, sur
Externí odkaz:
https://doaj.org/article/fdc2c457368c430f8fbc91f93747da32
Evaluating the reasoning abilities of large language models (LLMs) is challenging. Existing benchmarks often depend on static datasets, which are vulnerable to data contamination and may get saturated over time, or on binary live human feedback that
Externí odkaz:
http://arxiv.org/abs/2412.06394
Federated Graph Learning (FGL) is a distributed machine learning paradigm based on graph neural networks, enabling secure and collaborative modeling of local graph data among clients. However, label noise can degrade the global model's generalization
Externí odkaz:
http://arxiv.org/abs/2411.18905
We present Moderator, a policy-based model management system that allows administrators to specify fine-grained content moderation policies and modify the weights of a text-to-image (TTI) model to make it significantly more challenging for users to p
Externí odkaz:
http://arxiv.org/abs/2408.07728
Graph neural networks based on message-passing mechanisms have achieved advanced results in graph classification tasks. However, their generalization performance degrades when noisy labels are present in the training data. Most existing noisy labelin
Externí odkaz:
http://arxiv.org/abs/2406.07314
Autor:
Chen, Liyue, Wang, Linian, Xu, Jinyu, Chen, Shuai, Wang, Weiqiang, Zhao, Wenbiao, Li, Qiyu, Wang, Leye
Most state-of-the-art deep domain adaptation techniques align source and target samples in a global fashion. That is, after alignment, each source sample is expected to become similar to any target sample. However, global alignment may not always be
Externí odkaz:
http://arxiv.org/abs/2308.09724
Autor:
Li, Qiyu1 (AUTHOR), Wang, Pengbo1 (AUTHOR), Sun, Yingxian1 (AUTHOR), Chen, Yanli1 (AUTHOR) ylchen@cmu.edu.cn, Zhang, Xingang1 (AUTHOR) zhangxingang80@aliyun.com
Publikováno v:
Scientific Reports. 11/10/2024, Vol. 14 Issue 1, p1-12. 12p.
Autor:
Tang, Yaqin1,2 (AUTHOR), Li, Qiyu1 (AUTHOR), Zhou, Ziwei1 (AUTHOR), Bai, Huayang1 (AUTHOR), Xiao, Nianting1 (AUTHOR), Xie, Jing1 (AUTHOR) xiejing33@cqut.edu.cn, Li, Chong2 (AUTHOR) chongli@swu.edu.cn
Publikováno v:
Journal of Nanobiotechnology. 11/4/2024, Vol. 22 Issue 1, p1-36. 36p.
Autor:
Yi, Honghong, Sun, Long, Long, Yuhan, Zhao, Shunzheng, Gao, Sirui, Li, Qiyu, Ma, Yiming, Chen, Yimeng, Tang, Xiaolong
Publikováno v:
In Applied Surface Science 30 January 2025 680
Autor:
Ma, Yirong, Hao, Jinbo, Jia, Baonan, Zhang, Xinhui, Zhang, Chunling, Wu, Ge, Chen, Changcheng, Li, Yuanzi, Zhou, Zhiyuan, Li, Qiyu, Lu, Pengfei
Publikováno v:
In Journal of Energy Chemistry December 2024 99:529-540