Zobrazeno 1 - 10
of 294
pro vyhledávání: '"LIANG, Jingwei"'
Stochastic optimisation algorithms are the de facto standard for machine learning with large amounts of data. Handling only a subset of available data in each optimisation step dramatically reduces the per-iteration computational costs, while still e
Externí odkaz:
http://arxiv.org/abs/2406.06342
Federated learning (FL) is a distributed learning paradigm that allows several clients to learn a global model without sharing their private data. In this paper, we generalize a primal dual fixed point (PDFP) \cite{PDFP} method to federated learning
Externí odkaz:
http://arxiv.org/abs/2305.13604
Publikováno v:
In Engineering Structures 15 December 2024 321
Autor:
Zhang, Haiying, Gao, Yanan, Zhang, Min, Yuan, Zhexin, Chen, Yu, Wang, Aiping, Liu, Xinxing, Ji, Shunchang, Jin, Jianfeng, Liang, Jingwei, Liu, Yan
Publikováno v:
In Redox Biology December 2024 78
Publikováno v:
In Industrial Crops & Products 15 October 2024 218
Autor:
Wu, Ke, Zhang, Xinge, Wang, Wenquan, Liang, Jingwei, Zheng, Xin, Shen, Faming, Liang, Xudong, Zhang, Zhihui
Publikováno v:
In Thin-Walled Structures January 2025 206 Part A
Autor:
Zhou, Bingxin, Jiang, Yuanhong, Wang, Yu Guang, Liang, Jingwei, Gao, Junbin, Pan, Shirui, Zhang, Xiaoqun
The performance of graph representation learning is affected by the quality of graph input. While existing research usually pursues a globally smoothed graph embedding, we believe the rarely observed anomalies are as well harmful to an accurate predi
Externí odkaz:
http://arxiv.org/abs/2202.04936
Publikováno v:
In Engineering Failure Analysis July 2024 161
Autor:
Yu, Yi, Liang, Jingwei, Yuan, Zhexin, Wang, Aiping, Liu, Xinxing, Chen, Yu, Zhang, Min, Gao, Yanan, Zhang, Haiying, Liu, Yan
Publikováno v:
In Journal of Ethnopharmacology 28 June 2024 328
Autor:
Liang, Jingwei, Lei, Zhenglong, Qiu, Xiaoming, Xing, Fei, Zhang, Xinge, Ruan, Ye, Su, Jinlong
Publikováno v:
In Journal of Materials Research and Technology May-June 2024 30:6366-6375