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08/08/2023
Communication-Efficient Cooperative Multi-Agent PPO via Regulated Segment Mixture in Internet of Vehicles
Multi-Agent Reinforcement Learning (MARL) has become a classic paradigm ...
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07/23/2023
Decentralized Adaptive Formation via Consensus-Oriented Multi-Agent Communication
Adaptive multi-agent formation control, which requires the formation to ...
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07/12/2023
NetGPT: A Native-AI Network Architecture Beyond Provisioning Personalized Generative Services
Large language models (LLMs) have triggered tremendous success to empowe...
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03/23/2023
Stochastic Graph Neural Network-based Value Decomposition for MARL in Internet of Vehicles
Autonomous driving has witnessed incredible advances in the past several...
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02/13/2023
Knowledge Enhanced Semantic Communication Receiver
In recent years, with the rapid development of deep learning and natural...
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11/03/2022
3D Reconstruction of Multiple Objects by mmWave Radar on UAV
In this paper, we explore the feasibility of utilizing a mmWave radar se...
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09/09/2022
Learning Audio-Visual embedding for Person Verification in the Wild
It has already been observed that audio-visual embedding is more robust ...
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08/18/2022
AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching
Along with the fast development of network technology and the rapid grow...
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07/23/2022
Contrastive Monotonic Pixel-Level Modulation
Continuous one-to-many mapping is a less investigated yet important task...
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07/21/2022
R2P: A Deep Learning Model from mmWave Radar to Point Cloud
Recent research has shown the effectiveness of mmWave radar sensing for ...
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05/20/2022
6G Network AI Architecture for Everyone-Centric Customized Services
Mobile communication standards were developed for enhancing transmission...
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01/30/2022
Communication-Efficient Consensus Mechanism for Federated Reinforcement Learning
The paper considers independent reinforcement learning (IRL) for multi-a...
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01/18/2022
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training
Recently, self-supervised vision transformers have attracted unprecedent...
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09/19/2021
DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar
Recent research has shown that mmWave radar sensing is effective for obj...
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08/20/2021
Semantic Communication with Adaptive Universal Transformer
With the development of deep learning (DL), natural language processing ...
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08/11/2021
Graph Attention Network-based Multi-agent Reinforcement Learning for Slicing Resource Management in Dense Cellular Network
Network slicing (NS) management devotes to providing various services to...
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08/05/2021
3DRIMR: 3D Reconstruction and Imaging via mmWave Radar based on Deep Learning
mmWave radar has been shown as an effective sensing technique in low vis...
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08/05/2021
LIDAUS: Localization of IoT Device via Anchor UAV SLAM
We introduce LIDAUS Localization of IoT Device via Anchor UAV SLAM), an ...
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03/24/2021
The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication
The paper considers a distributed version of deep reinforcement learning...
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03/04/2021
Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms
The mobile communication system has transformed to be the fundamental in...
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11/12/2020
Deep Sketch-Based Modeling: Tips and Tricks
Deep image-based modeling received lots of attention in recent years, ye...
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07/03/2020
Learning to Prune in Training via Dynamic Channel Propagation
In this paper, we propose a novel network training mechanism called "dyn...
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06/02/2020
Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging
Deep learning in k-space has demonstrated great potential for image reco...
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04/15/2020
Intelligent Slicing of Radio Resource Control Layer for Cellular IoT: Design and Implementation
The cellular internet of things (CIoT) has become an important branch to...
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03/26/2020
Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images
Diabetic retinopathy (DR) is a primary cause of blindness in working-age...
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02/26/2020
On the Capacity of Fractal D2D Social Networks with Hierarchical Communications
The maximum capacity of fractal D2D (device-to-device) social networks w...
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11/15/2019
Resource Awareness in Unmanned Aerial Vehicle-Assisted Mobile-Edge Computing Systems
This paper investigates an unmanned aerial vehicle (UAV)-assisted mobile...
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08/26/2019
A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing
We are interested in the optimal scheduling of a collection of multi-com...
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08/06/2019
Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective
In this paper, we investigate the problem of age of information (AoI)-aw...
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07/24/2019
Secrecy Preserving in Stochastic Resource Orchestration for Multi-Tenancy Network Slicing
Network slicing is a proposing technology to support diverse services fr...
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06/10/2019
Deep Reinforcement Learning with Discrete Normalized Advantage Functions for Resource Management in Network Slicing
Network slicing promises to provision diversified services with distinct...
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06/03/2019
Decentralized Deep Reinforcement Learning for Delay-Power Tradeoff in Vehicular Communications
This paper targets at the problem of radio resource management for expec...
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05/10/2019
GAN-based Deep Distributional Reinforcement Learning for Resource Management in Network Slicing
Network slicing is a key technology in 5G communications system, which a...
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05/01/2019
Self-Supervised Convolutional Subspace Clustering Network
Subspace clustering methods based on data self-expression have become ve...
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04/26/2019
The Collective Intelligence for Advancing 6G Communications
The fifth-generation cellular networks (5G) has boosted the unprecedente...
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04/26/2019
The Collective Intelligence for Advancing Communications
The fifth-generation cellular networks (5G) has boosted the unprecedente...
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03/01/2019
Evaluation Mechanism of Collective Intelligence for Heterogeneous Agents Group
Collective intelligence is manifested when multiple agents coherently wo...
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02/03/2019
UAV-aided urban target tracking system based on edge computing
Target tracking is an important issue of social security. In order to tr...
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11/20/2018
Brain-Inspired Stigmergy Learning
Stigmergy has proved its great superiority in terms of distributed contr...
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10/24/2018
Deep Learning with Long Short-Term Memory for Time Series Prediction
Time series prediction can be generalized as a process that extracts use...
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10/09/2018
Deep Attentive Tracking via Reciprocative Learning
Visual attention, derived from cognitive neuroscience, facilitates human...
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09/18/2018
Fundamentals on Base Stations in Cellular Networks: From the Perspective of Algebraic Topology
In recent decades, the deployments of cellular networks have been going ...
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08/16/2018
Study on Base Station Topology in Cellular Networks: Take Advantage of Alpha Shapes, Betti Numbers, and Euler Characteristics
Faced with the ever-increasing trend of the cellular network scale, how ...
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08/07/2018
Universal Perceptual Grouping
In this work we aim to develop a universal sketch grouper. That is, a gr...
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07/17/2018
Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach
In a software-defined radio access network (RAN), a major challenge lies...
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06/07/2018
AI-based Two-Stage Intrusion Detection for Software Defined IoT Networks
Software Defined Internet of Things (SD-IoT) Networks profits from centr...
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05/30/2018
Deep Learning-based Intelligent Dual Connectivity for Mobility Management in Dense Network
Ultra-dense network deployment has been proposed as a key technique for ...
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05/17/2018
Deep Reinforcement Learning for Network Slicing
Network slicing means an emerging business to operators and allows them ...
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05/16/2018
Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning
To improve the quality of computation experience for mobile devices, mob...
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03/27/2018
