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08/09/2023
Service Reservation and Pricing for Green Metaverses: A Stackelberg Game Approach
Metaverse enables users to communicate, collaborate and socialize with e...
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07/14/2023
Federated Learning-Empowered AI-Generated Content in Wireless Networks
Artificial intelligence generated content (AIGC) has emerged as a promis...
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07/06/2023
A Survey on Evaluation of Large Language Models
Large language models (LLMs) are gaining increasing popularity in both a...
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06/06/2023
Joint 3D Deployment and Resource Allocation for UAV-assisted Integrated Communication and Localization
In this paper, we investigate an unmanned aerial vehicle (UAV)-assisted ...
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05/29/2023
Computation Offloading for Edge Computing in RIS-Assisted Symbiotic Radio Systems
In the paper, we investigate the coordination process of sensing and com...
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05/05/2023
Energy-Latency Aware Intelligent Reflecting Surface Aided Multi-cell Mobile Edge Computing
The explosive development of the Internet of Things (IoT) has led to inc...
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04/04/2023
FAST: Fidelity-Adjustable Semantic Transmission over Heterogeneous Wireless Networks
In this work, we investigate the challenging problem of on-demand semant...
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01/08/2023
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices
In this work, we investigate the challenging problem of on-demand federa...
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09/15/2022
Online Combinatorial Auctions for Resource Allocation with Supply Costs and Capacity Limits
We study a general online combinatorial auction problem in algorithmic m...
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08/23/2022
A Platform-Free Proof of Federated Learning Consensus Mechanism for Sustainable Blockchains
Proof of work (PoW), as the representative consensus protocol for blockc...
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05/18/2022
Achieving Multi-beam Gain in Intelligent Reflecting Surface Assisted Wireless Energy Transfer
Intelligent reflecting surface (IRS) is a promising technology to boost ...
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02/06/2022
SRPCN: Structure Retrieval based Point Completion Network
Given partial objects and some complete ones as references, point cloud ...
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01/30/2022
Co-Regularized Adversarial Learning for Multi-Domain Text Classification
Multi-domain text classification (MDTC) aims to leverage all available r...
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01/29/2022
Maximum Batch Frobenius Norm for Multi-Domain Text Classification
Multi-domain text classification (MDTC) has obtained remarkable achievem...
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12/28/2021
Learning Based Task Offloading in Digital Twin Empowered Internet of Vehicles
Mobile edge computing has become an effective and fundamental paradigm f...
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12/10/2021
Attention-based Transformation from Latent Features to Point Clouds
In point cloud generation and completion, previous methods for transform...
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11/23/2021
Active IRS Aided WPCNs: A New Paradigm Towards Higher Efficiency and Wider Coverage
This paper considers an active intelligent reflecting surface (IRS)-aide...
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10/19/2021
FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing
As a distributed learning approach, federated learning trains a shared l...
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08/14/2021
Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation
Adversarial domain adaptation has made impressive advances in transferri...
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02/19/2021
Conditional Adversarial Networks for Multi-Domain Text Classification
In this paper, we propose conditional adversarial networks (CANs), a fra...
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01/31/2021
Mixup Regularized Adversarial Networks for Multi-Domain Text Classification
Using the shared-private paradigm and adversarial training has significa...
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07/07/2020
Dual Mixup Regularized Learning for Adversarial Domain Adaptation
Recent advances on unsupervised domain adaptation (UDA) rely on adversar...
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05/03/2020
Visualizing Deep Learning-based Radio Modulation Classifier
Deep learning has recently been successfully applied in automatic modula...
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04/20/2020
Mechanism Design for Online Resource Allocation: A Unified Approach
This paper concerns the mechanism design for online resource allocation ...
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02/12/2020
Estimating Uncertainty Intervals from Collaborating Networks
Effective decision making requires understanding the uncertainty inheren...
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12/06/2019
Data Augmentation for Deep Learning-based Radio Modulation Classification
Deep learning has recently been applied to automatically classify the mo...
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09/18/2019
Dual Adversarial Co-Learning for Multi-Domain Text Classification
In this paper we propose a novel dual adversarial co-learning approach f...
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09/04/2018
Chi-Square Test Neural Network: A New Binary Classifier based on Backpropagation Neural Network
We introduce the chi-square test neural network: a single hidden layer b...
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06/05/2018
Predictive Accuracy of Markers or Risk Scores for Interval Censored Survival Data
Methods for the evaluation of the predictive accuracy of biomarkers with...
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07/22/2017