Choong Seon Hong

research

∙ 08/26/2023

MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree

Binary neural networks (BNNs) have been widely adopted to reduce the com...

0 Quang Hieu Vo, et al. ∙

research

∙ 08/16/2023

Deep Reinforcement Learning based Joint Spectrum Allocation and Configuration Design for STAR-RIS-Assisted V2X Communications

Vehicle-to-Everything (V2X) communications play a crucial role in ensuri...

0 Pyae Sone Aung, et al. ∙

research

∙ 07/28/2023

SpaceRIS: LEO Satellite Coverage Maximization in 6G Sub-THz Networks by MAPPO DRL and Whale Optimization

Satellite systems face a significant challenge in effectively utilizing ...

0 Sheikh Salman Hassan, et al. ∙

research

∙ 07/25/2023

FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning

Federated learning (FL) enables a decentralized machine learning paradig...

0 Huy Q. Le, et al. ∙

research

∙ 07/20/2023

Boosting Federated Learning Convergence with Prototype Regularization

As a distributed machine learning technique, federated learning (FL) req...

0 Yu Qiao, et al. ∙

research

∙ 07/07/2023

Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity

Semantic communication has gained significant attention from researchers...

0 Loc X. Nguyen, et al. ∙

research

∙ 07/05/2023

Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation

Connected and autonomous vehicles (CAVs) can reduce human errors in traf...

0 Tengchan Zeng, et al. ∙

research

∙ 06/25/2023

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

Segment anything model (SAM) is a prompt-guided vision foundation model ...

0 Chaoning Zhang, et al. ∙

research

∙ 06/13/2023

Robustness of SAM: Segment Anything Under Corruptions and Beyond

Segment anything model (SAM), as the name suggests, is claimed to be cap...

0 Yu Qiao, et al. ∙

research

∙ 05/10/2023

Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era

Generative AI (AIGC, a.k.a. AI generated content) has made remarkable pr...

0 Chenghao Li, et al. ∙

research

∙ 04/29/2023

Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected

Meta AI Research has recently released SAM (Segment Anything Model) whic...

0 Dongsheng Han, et al. ∙

research

∙ 04/04/2023

One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era

OpenAI has recently released GPT-4 (a.k.a. ChatGPT plus), which is demon...

0 Chaoning Zhang, et al. ∙

research

∙ 04/01/2023

MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence

Federated learning-assisted edge intelligence enables privacy protection...

0 Yu Qiao, et al. ∙

research

∙ 03/22/2023

Prototype Helps Federated Learning: Towards Faster Convergence

Federated learning (FL) is a distributed machine learning technique in w...

0 Yu Qiao, et al. ∙

research

∙ 03/21/2023

A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?

As ChatGPT goes viral, generative AI (AIGC, a.k.a AI-generated content) ...

0 Chaoning Zhang, et al. ∙

research

∙ 12/12/2022

Satellite-based ITS Data Offloading Computation in 6G Networks: A Cooperative Multi-Agent Proximal Policy Optimization DRL with Attention Approach

With the rapid growth of intelligent transportation systems (ITS), there...

0 Sheikh Salman Hassan, et al. ∙

research

∙ 11/07/2022

Machine Learning for Metaverse-enabled Wireless Systems: Vision, Requirements, and Challenges

Today's wireless systems are posing key challenges in terms of quality o...

0 Latif U. Khan, et al. ∙

research

∙ 10/28/2022

Federated Learning based Energy Demand Prediction with Clustered Aggregation

To reduce negative environmental impacts, power stations and energy grid...

0 Ye Lin Tun, et al. ∙

research

∙ 10/28/2022

Federated Learning with Intermediate Representation Regularization

In contrast to centralized model training that involves data collection,...

0 Ye Lin Tun, et al. ∙

research

∙ 10/13/2022

Neuro-symbolic Explainable Artificial Intelligence Twin for Zero-touch IoE in Wireless Network

Explainable artificial intelligence (XAI) twin systems will be a fundame...

0 Md. Shirajum Munir, et al. ∙

research

∙ 09/15/2022

Joint Trajectory and Resource Optimization of MEC-Assisted UAVs in Sub-THz Networks: A Resources-based Multi-Agent Proximal Policy Optimization DRL with Attention Mechanism

THz band communication technology will be used in the 6G networks to ena...

0 Yu Min Park, et al. ∙

research

∙ 08/16/2022

Dependency Tasks Offloading and Communication Resource Allocation in Collaborative UAVs Networks: A Meta-Heuristic Approach

In recent years, unmanned aerial vehicles (UAVs) assisted mobile edge co...

0 Loc X. Nguyen, et al. ∙

research

∙ 08/10/2022

Federated Learning for Digital Twin-Based Vehicular Networks: Architecture and Challenges

Emerging intelligent transportation applications, such as accident repor...

0 Latif U. Khan, et al. ∙

research

∙ 07/07/2022

Energy-Efficient Communication Networks via Multiple Aerial Reconfigurable Intelligent Surfaces: DRL and Optimization Approach

In the realm of wireless communications in 5G, 6G and beyond, deploying ...

0 Pyae Sone Aung, et al. ∙

research

∙ 06/20/2022

Metaverse for Wireless Systems: Vision, Enablers, Architecture, and Future Directions

Recently, significant research efforts have been initiated to enable the...

0 Latif U. Khan, et al. ∙

research

∙ 02/07/2022

3TO: THz-Enabled Throughput and Trajectory Optimization of UAVs in 6G Networks by Proximal Policy Optimization Deep Reinforcement Learning

Next-generation networks need to meet ubiquitous and high data-rate dema...

0 Sheikh Salman Hassan, et al. ∙

research

∙ 02/05/2022

Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities

Future wireless services must be focused on improving the quality of lif...

0 Latif U. Khan, et al. ∙

research

∙ 02/05/2022

Blue Data Computation Maximization in 6G Space-Air-Sea Non-Terrestrial Networks

Non-terrestrial networks (NTN), encompassing space and air platforms, ar...

0 Sheikh Salman Hassan, et al. ∙

research

∙ 01/26/2022

An Explainable Artificial Intelligence Framework for Quality-Aware IoE Service Delivery

One of the core envisions of the sixth-generation (6G) wireless networks...

0 Md. Shirajum Munir, et al. ∙

research

∙ 01/21/2022

Seamless and Energy Efficient Maritime Coverage in Coordinated 6G Space-Air-Sea Non-Terrestrial Networks

Non-terrestrial networks (NTNs), which integrate space and aerial networ...

0 Sheikh Salman Hassan, et al. ∙

research

∙ 08/02/2021

Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging

In this paper, the design of a rational decision support system (RDSS) f...

13 Md. Shirajum Munir, et al. ∙

research

∙ 07/30/2021

Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing

Recently, unmanned aerial vehicles (UAVs) assisted multi-access edge com...

0 Yan Kyaw Tun, et al. ∙

research

∙ 07/02/2021

Ruin Theory for User Association and Energy Optimization in Multi-access Edge Computing

In this letter, a novel framework is proposed for analyzing data offload...

0 Do Hyeon Kim, et al. ∙

research

∙ 07/02/2021

Trajectory Optimization and Phase-Shift Design in IRS Assisted UAV Network for High Speed Trains

The recent trend towards the high-speed transportation system has spurre...

0 Yu Min Park, et al. ∙

research

∙ 07/02/2021

A Business Model for Resource Sharing in Cell-Free UAVs-Assisted Wireless Networks

Unmanned aerial vehicles (UAVs) are widely deployed to enhance the wirel...

0 Yan Kyaw Tun, et al. ∙

research

∙ 05/20/2021

A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars

Sixth-Generation (6G)-based Internet of Everything applications (e.g. au...

0 Latif U. Khan, et al. ∙

research

∙ 05/19/2021

Securing Cyber-Physical Systems Through Blockchain-Based Digital Twins and Threat Intelligence

The proliferation of digitization and complexity of connectivity in Cybe...

0 Sabah Suhail, et al. ∙

research

∙ 03/31/2021

Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces

In this paper, a novel framework for guaranteeing ultra-reliable millime...

0 Mehdi Naderi Soorki, et al. ∙

research

∙ 03/22/2021

Blockchain-based Digital Twins: Research Trends, Issues, and Future Challenges

Industrial processes rely on sensory data for decision-making processes,...

0 Sabah Suhail, et al. ∙

research

∙ 02/24/2021

Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions

Internet of Everything (IoE) applications such as haptics, human-compute...

0 Latif U. Khan, et al. ∙

research

∙ 11/25/2020

Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks

Federated Learning is a new learning scheme for collaborative training a...

0 Minh N. H. Nguyen, et al. ∙

research

∙ 11/24/2020

Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks

Unmanned aerial vehicle (UAV)-assisted multi-access edge computing (MEC)...

0 Nway Nway Ei, et al. ∙

research

∙ 11/02/2020

Joint Location and Power Optimization for THz-enabled UAV Communications

In this paper, the problem of unmanned aerial vehicle (UAV) deployment a...

0 Luyao Xu, et al. ∙

research

∙ 10/23/2020

Trustworthy Digital Twins in the Industrial Internet of Things with Blockchain

Industrial processes rely on sensory data for critical decision-making p...

0 Sabah Suhail, et al. ∙

research

∙ 09/28/2020

Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

The Internet of Things (IoT) will be ripe for the deployment of novel ma...

0 Latif U. Khan, et al. ∙

research

∙ 08/26/2020

SmartSON:A Smart contract driven incentive management framework for Self-Organizing Networks

This article proposes a self-organizing collaborative computing network ...

0 Abdullah Yousafzai, et al. ∙

research

∙ 08/24/2020

Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System

This paper presents a cognitive behavioral-based driver mood repairment ...

7 Md. Shirajum Munir, et al. ∙

research

∙ 08/12/2020

Dispersed Federated Learning: Vision, Taxonomy, and Future Directions

The ongoing deployment of the Internet of Things (IoT)-based smart appli...

0 Latif U. Khan, et al. ∙

research

∙ 07/27/2020

Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective

COVID-19 is a global epidemic. Till now, there is no remedy for this epi...

0 Anupam Kumar Bairagi, et al. ∙

research

∙ 07/05/2020

Delay Minimization for Federated Learning Over Wireless Communication Networks

In this paper, the problem of delay minimization for federated learning ...

0 Zhaohui Yang, et al. ∙

Choong Seon Hong

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