6 citations · 8 across the 6 of their papers we have counts for
7 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…
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…
RTFN: A Robust Temporal Feature Network for Time Series Classification
Zhiwen Xiao, Xin Xu, Huanlai Xing +3
Time series data usually contains local and global patterns. Most of the existing feature networks pay more attention to local features rather than the relationships among them. Th…
RTFN: Robust Temporal Feature Network
Zhiwen Xiao, Xin Xu, Huanlai Xing +1
Time series analysis plays a vital role in various applications, for instance, healthcare, weather prediction, disaster forecast, etc. However, to obtain sufficient shapelets by a…