Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Lifeng Hua"'
Autor:
Yikai Yan, Chaoyue Niu, Renjie Gu, Fan Wu, Shaojie Tang, Lifeng Hua, Chengfei Lyu, Guihai Chen
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Publikováno v:
Proceedings of the VLDB Endowment. 14:320-328
With the rapid growth of e-commerce in recent years, e-commerce platforms are becoming a primary place for people to find, compare and ultimately purchase products. To improve online shopping experience for consumers and increase sales for sellers, i
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
BackgroundIn China, as people’s standard of living improves and the medical service system becomes more sophisticated, the demand for higher-quality and improved healthcare services is steadily rising. Inequality in health resource allocation (HRA)
Externí odkaz:
https://doaj.org/article/904bfa1e46f14eabb95fc1e4cb9d2e99
Autor:
Chengfei Lv, Tie Luo, Lifeng Hua, Fan Wu, Hongtao Lv, Shaojie Tang, Zhenzhe Zheng, Rongfei Jia
Publikováno v:
WiOpt
Federated learning (FL) trains a machine learning model on mobile devices in a distributed manner using each device's private data and computing resources. A critical issues is to evaluate individual users' contributions so that (1) users' effort in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2923b52d99b09254ad59b2579961acbe
http://arxiv.org/abs/2108.10623
http://arxiv.org/abs/2108.10623
Autor:
Rongfei Jia, Shaojie Tang, Fan Wu, Chaoyue Niu, Guihai Chen, Lifeng Hua, Chengfei Lv, Zhihua Wu
Publikováno v:
MobiCom
Federated learning was proposed with an intriguing vision of achieving collaborative machine learning among numerous clients without uploading their private data to a cloud server. However, the conventional framework requires each client to leverage
Publikováno v:
Lei Li
Automatic identification of mentioned entities in social media posts facilitates quick digestion of trending topics and popular opinions. Nonetheless, this remains a challenging task due to limited context and diverse name variations. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6bd4a5589c95b2643a3a11c457e8dc2
Autor:
Zhihan Xiao, Yawei Qian, Yi Liu, Lifeng Huang, Mingxuan Si, Zichen Wang, Tongyu Zhang, Xiru Chen, Jing Cao, Liang Chen, Yang Liu, Weicheng Liu, Jing Xu
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-11 (2023)
Abstract Association between alcohol intake and Coronavirus disease 2019 (COVID-19) risk has been explored in several observational studies, but the results are still controversial. These associations may be biased by reverse causation or confounded
Externí odkaz:
https://doaj.org/article/00fe7ef0a9424d1ebea4c82f1bc5cc2e
Publikováno v:
KDD
E-commerce platforms are becoming a primary place for people to find, compare and ultimately purchase products. One of the fundamental questions that arises in e-commerce is to predict user purchasing intent, which is an important part of user unders
Publikováno v:
Heliyon, Vol 10, Iss 1, Pp e23662- (2024)
Background: The relationship between genetic polymorphisms and coronavirus disease 2019 (COVID-19) remains to be inconsistent. This meta-analysis aimed to provide an updated evaluation of the role of genetic polymorphisms in the infection, severity a
Externí odkaz:
https://doaj.org/article/5d407de2af50430ca04b740391a9d71d
Autor:
Chaoyue Niu, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv, Zhihua Wu, Guihai Chen
Publikováno v:
MobiCom: International Conference on Mobile Computing & Networking; 2020, p405-418, 14p