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03/02/2023
Distributed Learning Meets 6G: A Communication and Computing Perspective
With the ever-improving computing capabilities and storage capacities of...
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01/03/2023
Analogical Inference Enhanced Knowledge Graph Embedding
Knowledge graph embedding (KGE), which maps entities and relations in a ...
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10/05/2022
Graph Classification via Discriminative Edge Feature Learning
Spectral graph convolutional neural networks (GCNNs) have been producing...
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02/06/2021
Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing
This article introduces a neural network-based signal processing framewo...
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01/28/2021
Differential Privacy Meets Federated Learning under Communication Constraints
The performance of federated learning systems is bottlenecked by communi...
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10/12/2020
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond
Deep reinforcement learning (DRL) has been shown to be successful in man...
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09/27/2020
Simultaneous Relevance and Diversity: A New Recommendation Inference Approach
Relevance and diversity are both important to the success of recommender...
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04/30/2020
Delay-aware Resource Allocation in Fog-assisted IoT Networks Through Reinforcement Learning
Fog nodes in the vicinity of IoT devices are promising to provision low ...
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03/15/2020
RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training
In this paper, we investigate learning-based MIMO-OFDM symbol detection ...
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10/29/2018
Big Data Meet Cyber-Physical Systems: A Panoramic Survey
The world is witnessing an unprecedented growth of cyber-physical system...
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10/28/2018
Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach
Dynamic spectrum access (DSA) is regarded as an effective and efficient ...
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11/13/2015