6 citations · 10 across the 7 of their papers we have counts for
7 papers
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…
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…
STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN
Juan Chen, Zhiwen Xiao, Huanlai Xing +3
Dynamic routing in software-defined networking (SDN) can be viewed as a centralized decision-making problem. Most of the existing deep reinforcement learning (DRL) agents can addre…