1 citations · 2 across the 5 of their papers we have counts for
5 papers
PeriodNet: Boosting the Potential of Attention Mechanism for Time Series Forecasting
Bowen Zhao, Huanlai Xing, Zhiwen Xiao +5
The attention mechanism has demonstrated remarkable potential in sequence modeling, exemplified by its successful application in natural language processing with models such as Bid…
Rethinking Attention Mechanism in Time Series Classification
Bowen Zhao, Huanlai Xing, Xinhan Wang +2
Attention-based models have been widely used in many areas, such as computer vision and natural language processing. However, relevant applications in time series classification (T…
On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-agent Deep Reinforcement Learning Approach
Xinhan Wang, Huanlai Xing, Fuhong Song +3
Multi-access edge computing (MEC) and network function virtualization (NFV) are promising technologies to support emerging IoT applications, especially those computation-intensive.…
Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing
Fuhong Song, Huanlai Xing, Xinhan Wang +4
This paper studies the trajectory control and task offloading (TCTO) problem in an unmanned aerial vehicle (UAV)-assisted mobile edge computing system, where a UAV flies along a pl…
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification
Huanlai Xing, Zhiwen Xiao, Rong Qu +2
This paper proposes an efficient federated distillation learning system (EFDLS) for multi-task time series classification (TSC). EFDLS consists of a central server and multiple mob…