Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Wing Cheong Lau"'
Publikováno v:
IEEE Access, Vol 8, Pp 71173-71188 (2020)
Over the past several years, sponsored mobile data and the payment directions on the Internet have been two major subjects in network economics. Several tier-1 service providers (SPs) created their frameworks for sponsored mobile data by cooperating
Externí odkaz:
https://doaj.org/article/64c8408adee64696914fb1c4f42469b5
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2010 (2010)
Externí odkaz:
https://doaj.org/article/e31ce64367734803a13d0f1f3e01e06f
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 34:1495-1507
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:4272-4280
Graph Neural Networks (GNNs) have recently become a popular framework for semi-supervised learning on graph-structured data. However, typical GNN models heavily rely on labeled data in the learning process, while ignoring or paying little attention t
GTEA: Inductive Representation Learning on Temporal Interaction Graphs via Temporal Edge Aggregation
Autor:
Siyue Xie, Yiming Li, Da Sun Handason Tam, Xiaxin Liu, Qiufang Ying, Wing Cheong Lau, Dah Ming Chiu, Shouzhi Chen
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031333767
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94d6bbdc6a2e90510acfead051704673
https://doi.org/10.1007/978-3-031-33377-4_3
https://doi.org/10.1007/978-3-031-33377-4_3
Publikováno v:
IEEE/ACM Transactions on Networking. 29:1553-1566
Jobs in modern computing clusters have highly diverse processing duration and heterogeneous resource requirements. In this paper, we consider the problem of job scheduling for a computing cluster comprised of multiple servers with heterogeneous compu
Publikováno v:
Proceedings of the 51st International Conference on Parallel Processing.
Publikováno v:
Proceedings of the 51st International Conference on Parallel Processing.
Publikováno v:
IEEE/ACM Transactions on Networking. 28:2243-2256
Approximation jobs that allow partial execution of their many tasks to achieve valuable results have played an important role in today’s large-scale data analytics. This fact can be utilized to maximize the system utility of a big data computing cl
Publikováno v:
Proceedings 2022 Network and Distributed System Security Symposium.