no code implementations • TMC 2024 • Penglin Dai, Yaorong Huang, Kaiwen Hu, Xiao Wu, Huanlai Xing, and Zhaofei Yu, Member, IEEE
The objective is to design a unified solution to minimize task execution time under different MTO scenarios.
no code implementations • 14 Jul 2022 • Bowen Zhao, Huanlai Xing, Xinhan Wang, Fuhong Song, Zhiwen Xiao
Attention-based models have been widely used in many areas, such as computer vision and natural language processing.
no code implementations • 20 May 2022 • Xinhan Wang, Huanlai Xing, Fuhong Song, Shouxi Luo, Penglin Dai, Bowen Zhao
Mobile devices (MDs) can offload computation-intensive applications, which can be represented by SFCs, fully or partially to MEC servers for remote execution.
no code implementations • 24 Feb 2022 • Fuhong Song, Huanlai Xing, Xinhan Wang, Shouxi Luo, Penglin Dai, Zhiwen Xiao, Bowen Zhao
This paper adapts the evolutionary multi-objective RL (EMORL), a multi-policy multi-objective RL, to the TCTO problem.
no code implementations • 30 Dec 2021 • Huanlai Xing, Zhiwen Xiao, Rong Qu, Zonghai Zhu, Bowen Zhao
For each connected user, its student model's hidden layers' weights are uploaded to the EFDLS server periodically.
no code implementations • 24 Nov 2020 • Zhiwen Xiao, Xin Xu, Huanlai Xing, Shouxi Luo, Penglin Dai, Dawei Zhan
Most of the existing feature networks pay more attention to local features rather than the relationships among them.
no code implementations • 18 Aug 2020 • Zhiwen Xiao, Xin Xu, Huanlai Xing, Juan Chen
The temporal feature networks are built to extract basic features from input data while the attentional LSTM networks are devised to capture complicated shapelets and relationships to enrich features.
no code implementations • 21 Apr 2020 • Juan Chen, Zhiwen Xiao, Huanlai Xing, Penglin Dai, Shouxi Luo, Muhammad Azhar Iqbal
Dynamic routing in software-defined networking (SDN) can be viewed as a centralized decision-making problem.