research
∙
03/08/2023
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
Spiking Neural Networks (SNNs) have gained great attraction due to their...
share
research
∙
10/31/2022
Enabling Digital Twin in Vehicular Edge Computing: A Multi-Agent Multi-Objective Deep Reinforcement Learning Solution
With recent advances in sensing technologies, wireless communications, a...
research
∙
09/26/2022
Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach
Vehicular edge computing (VEC) becomes a promising paradigm for the deve...
research
∙
09/25/2022
Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-agent Deep Reinforcement Learning Approach
Cooperative sensing and heterogeneous information fusion are critical to...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
04/21/2020
