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07/14/2022
Rethinking Attention Mechanism in Time Series Classification
Attention-based models have been widely used in many areas, such as comp...
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05/20/2022
On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-agent Deep Reinforcement Learning Approach
Multi-access edge computing (MEC) and network function virtualization (N...
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02/24/2022
Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing
This paper studies the trajectory control and task offloading (TCTO) pro...
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12/30/2021
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification
This paper proposes an efficient federated distillation learning system ...
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11/24/2020
RTFN: A Robust Temporal Feature Network for Time Series Classification
Time series data usually contains local and global patterns. Most of the...
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08/18/2020
RTFN: Robust Temporal Feature Network
Time series analysis plays a vital role in various applications, for ins...
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04/21/2020
