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06/28/2023
Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving
While federated learning (FL) improves the generalization of end-to-end ...
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06/19/2023
To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion
Tensor train (TT) representation has achieved tremendous success in visu...
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04/30/2023
STAR-RIS-Aided Mobile Edge Computing: Computation Rate Maximization with Binary Amplitude Coefficients
In this paper, simultaneously transmitting and reflecting (STAR) reconfi...
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12/13/2022
Edge-Assisted V2X Motion Planning and Power Control Under Channel Uncertainty
Edge-assisted vehicle-to-everything (V2X) motion planning is an emerging...
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12/01/2022
Simultaneously Transmitting and Reflecting RIS-Aided Mobile Edge Computing: Computation Rate Maximization
In this paper, the novel simultaneously transmitting and reflecting (STA...
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11/28/2022
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
Weakly supervised detection of anomalies in surveillance videos is a cha...
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09/24/2022
Optimal Power Allocation for HARQ Schemes over Time-Correlated Nakagami-m Fading Channels
This paper investigates the problem of power allocation for hybrid autom...
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03/18/2022
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference
Recently, there is a revival of interest in low-rank matrix completion-b...
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10/06/2021
UGV-assisted Wireless Powered Backscatter Communications for Large-Scale IoT Networks
Wireless powered backscatter communications (WPBC) is capable of impleme...
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06/09/2021
Cooperative Beamforming for Wireless Fronthaul and Access Links in Ultra-Dense C-RANs with SWIPT: A First-Order Approach
This work studies multigroup multicasting transmission in cloud radio ac...
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06/02/2021
Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms
Domain generalization aims to learn knowledge invariant across different...
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02/03/2021
Space Shift Keying with Reconfigurable Intelligent Surfaces: Phase Configuration Designs and Performance Analysis
Reconfigurable intelligent surface (RIS)-assisted transmission and space...
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01/28/2021
Edge Federated Learning Via Unit-Modulus Over-The-Air Computation (Extended Version)
Edge federated learning (FL) is an emerging machine learning paradigm th...
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11/07/2020
Exploiting Reconfigurable Intelligent Surfaces in Edge Caching: Joint Hybrid Beamforming and Content Placement Optimization
Edge caching can effectively reduce backhaul burden at core network and ...
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10/29/2020
Reconfigurable Intelligent Surface Aided Secure Transmission: Outage-Constrained Energy-Efficiency Maximization
Reconfigurable intelligent surface (RIS) has the potential to significan...
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09/07/2020
Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning
Edge learning (EL), which uses edge computing as a platform to execute m...
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09/05/2020
Towards Probabilistic Tensor Canonical Polyadic Decomposition 2.0: Automatic Tensor Rank Learning Using Generalized Hyperbolic Prior
Tensor rank learning for canonical polyadic decomposition (CPD) has long...
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07/27/2020
Massive Access in Secure NOMA under Imperfect CSI: Security Guaranteed Sum-Rate Maximization with First-Order Algorithm
Non-orthogonal multiple access (NOMA) is a promising solution for secure...
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07/21/2020
Learning Centric Power Allocation for Edge Intelligence
While machine-type communication (MTC) devices generate massive data, th...
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07/20/2020
Energy-Efficient Non-Orthogonal Multicast and Unicast Transmission of Cell-Free Massive MIMO Systems with SWIPT
This work investigates the energy-efficient resource allocation for laye...
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02/24/2020
Angle Aware User Cooperation for Secure Massive MIMO in Rician Fading Channel
Massive multiple-input multiple-output communications can achieve high-l...
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01/21/2020
Caching at Base Stations with Multi-Cluster Multicast Wireless Backhaul via Accelerated First-Order Algorithm
Cloud radio access network (C-RAN) has been recognized as a promising ar...
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11/12/2019
Machine Intelligence at the Edge with Learning Centric Power Allocation
While machine-type communication (MTC) devices generate considerable amo...
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02/27/2019
Backscatter Data Collection with Unmanned Ground Vehicle: Mobility Management and Power Allocation
Collecting data from massive Internet of Things (IoT) devices is a chall...
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02/26/2019
Joint Communication and Motion Energy Minimization in UGV Backscatter Communication
While backscatter communication emerges as a promising solution to reduc...
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02/07/2019
Massive MIMO Multicast Beamforming Via Accelerated Random Coordinate Descent
One key feature of massive multiple-input multiple-output systems is the...
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01/17/2018
Convergence Analysis of Belief Propagation on Gaussian Graphical Models
Gaussian belief propagation (GBP) is a recursive computation method that...
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06/12/2017
Convergence analysis of belief propagation for pairwise linear Gaussian models
Gaussian belief propagation (BP) has been widely used for distributed in...
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11/07/2016
