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12/02/2022
Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network
The space-air-ground integrated network (SAGIN), one of the key technolo...
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10/31/2022
GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers
Edge intelligence has arisen as a promising computing paradigm for suppo...
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02/02/2022
TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music
Singing melody extraction is an important problem in the field of music ...
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12/25/2021
Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping
With the wide penetration of smart robots in multifarious fields, Simult...
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02/26/2021
3D Vessel Reconstruction in OCT-Angiography via Depth Map Estimation
Optical Coherence Tomography Angiography (OCTA) has been increasingly us...
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02/19/2021
Frequency-Temporal Attention Network for Singing Melody Extraction
Musical audio is generally composed of three physical properties: freque...
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01/15/2021
EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles
Edge computing-enhanced Internet of Vehicles (EC-IoV) enables ubiquitous...
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09/22/2020
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network
Ultra-dense edge computing (UDEC) has great potential, especially in the...
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07/15/2020
Joint Multi-User DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence
Mobile Edge Computing (MEC) has emerged as a promising supporting archit...
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07/03/2020
An Edge Computing-based Photo Crowdsourcing Framework for Real-time 3D Reconstruction
Image-based three-dimensional (3D) reconstruction utilizes a set of phot...
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04/09/2020
Knowledge Distillation for Mobile Edge Computation Offloading
Edge computation offloading allows mobile end devices to put execution o...
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02/26/2020
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning
Federated Learning (FL) has been proposed as an appealing approach to ha...
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02/20/2019
NAIRS: A Neural Attentive Interpretable Recommendation System
In this paper, we develop a neural attentive interpretable recommendatio...
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03/07/2018