Wei Yang Bryan Lim

Orcid: 0000-0003-2150-5561

According to our database1, Wei Yang Bryan Lim authored at least 68 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Stochastic Resource Optimization for Wireless Powered Hybrid Coded Edge Computing Networks.
IEEE Trans. Mob. Comput., March, 2024

Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication.
IEEE Internet Things J., February, 2024

Mechanism Design for Semantic Communication in UAV-Assisted Metaverse: A Combinatorial Auction Approach.
IEEE Trans. Veh. Technol., 2024

2023
Green Technologies for the Sustainable Metaverse and Web 3.0.
IEEE Wirel. Commun., October, 2023

Economics of Semantic Communication System: An Auction Approach.
IEEE Trans. Veh. Technol., October, 2023

Toward Green Metaverse Networking: Technologies, Advancements, and Future Directions.
IEEE Netw., September, 2023

Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven.
IEEE Wirel. Commun., August, 2023

Stochastic Coded Offloading Scheme for Unmanned-Aerial-Vehicle-Assisted Edge Computing.
IEEE Internet Things J., April, 2023

Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges.
IEEE Commun. Surv. Tutorials, 2023

A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges.
IEEE Commun. Surv. Tutorials, 2023

Blockchain for Decentralized Know Your Customer (KYC) and Customer Due Diligence (CDD) Pipelines in the Metaverse.
Proceedings of the IEEE International Conference on Metaverse Computing, 2023

Edge-enabled Consumer Digital Twins in Industrial Metaverse.
Proceedings of the IEEE International Conference on Metaverse Computing, 2023

Reputation-Aware Opportunistic Budget Optimization for Auction-based Federation Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Privacy Budget-Aware Incentive Mechanism for Federated Learning in Intelligent Transportation Systems.
Proceedings of the IEEE International Conference on Communications, 2023

Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2023

Economics of Semantic Communication in Metaverse: An Auction Approach.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022
Federated Learning Over Wireless Edge Networks
Wireless Networks, Springer, ISBN: 978-3-031-07837-8, 2022

Semantic Communication Meets Edge Intelligence.
IEEE Wirel. Commun., 2022

A Double Auction Mechanism for Resource Allocation in Coded Vehicular Edge Computing.
IEEE Trans. Veh. Technol., 2022

Reputation-Aware Hedonic Coalition Formation for Efficient Serverless Hierarchical Federated Learning.
IEEE Trans. Parallel Distributed Syst., 2022

Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning.
IEEE Trans. Parallel Distributed Syst., 2022

Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things.
IEEE Trans. Netw. Sci. Eng., 2022

Toward Efficient Data Trading in AI Enabled Reconfigurable Wireless Sensor Network Using Contract and Game Theories.
IEEE Trans. Netw. Sci. Eng., 2022

When Information Freshness Meets Service Latency in Federated Learning: A Task-Aware Incentive Scheme for Smart Industries.
IEEE Trans. Ind. Informatics, 2022

Aerial Refueling: Scheduling Wireless Energy Charging for UAV Enabled Data Collection.
IEEE Trans. Green Commun. Netw., 2022

A Hierarchical Incentive Design Toward Motivating Participation in Coded Federated Learning.
IEEE J. Sel. Areas Commun., 2022

Towards Green Metaverse Networking Technologies, Advancements and Future Directions.
CoRR, 2022

Stochastic Resource Allocation for Semantic Communication-aided Virtual Transportation Networks in the Metaverse.
CoRR, 2022

Semantic Communications for 6G Future Internet: Fundamentals, Applications, and Challenges.
CoRR, 2022

UAV-assisted Wireless Power Charging for Efficient Hybrid Coded Edge Computing Network.
Proceedings of the IEEE International Conference on Communications, 2022

Unified Resource Allocation Framework for the Edge Intelligence-Enabled Metaverse.
Proceedings of the IEEE International Conference on Communications, 2022

Evolutionary Model Owner Selection for Federated Learning with Heterogeneous Privacy Budgets.
Proceedings of the IEEE International Conference on Communications, 2022

Economics of Semantic Communication System in Wireless Powered Internet of Things.
Proceedings of the IEEE International Conference on Acoustics, 2022

Message from the Program Chairs: EUC 2022.
Proceedings of the 20th IEEE International Conference on Embedded and Ubiquitous Computing, 2022

Dynamic Incentive Mechanism Design for COVID-19 Social Distancing.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

CrowdFL: A Marketplace for Crowdsourced Federated Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles.
IEEE Trans. Intell. Transp. Syst., 2021

Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach.
IEEE Trans. Intell. Transp. Syst., 2021

UAV-Assisted Wireless Energy and Data Transfer With Deep Reinforcement Learning.
IEEE Trans. Cogn. Commun. Netw., 2021

UAV-Assisted Communication Efficient Federated Learning in the Era of the Artificial Intelligence of Things.
IEEE Netw., 2021

Dynamic Edge Association and Resource Allocation in Self-Organizing Hierarchical Federated Learning Networks.
IEEE J. Sel. Areas Commun., 2021

Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework With UAV Swarms.
IEEE Internet Things J., 2021

Dynamic Contract Design for Federated Learning in Smart Healthcare Applications.
IEEE Internet Things J., 2021

A Game-theoretic Approach Towards Collaborative Coded Computation Offloading.
CoRR, 2021

A Comprehensive Survey on Coded Distributed Computing: Fundamentals, Challenges, and Networking Applications.
IEEE Commun. Surv. Tutorials, 2021

A Double Auction Mechanism for Coded Distributed Computing in Smart Vehicles.
Proceedings of the 18th International Conference on Wireless Networks and Mobile Systems, 2021

Dynamic Edge Association in Hierarchical Federated Learning Networks.
Proceedings of the 20th IEEE International Conference on Trust, 2021

A Hierarchical Incentive Mechanism for Coded Federated Learning.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Communication-efficient and Scalable Decentralized Federated Edge Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Predictive Analytics for COVID-19 Social Distancing.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Deep-learning Based Auction Resource Allocation in Coded Computation Offloading for Internet-of-Things.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

Collaborative Coded Computation Offloading: An All-pay Auction Approach.
Proceedings of the ICC 2021, 2021

Towards Parkinson's Disease Prognosis Using Self-Supervised Learning and Anomaly Detection.
Proceedings of the IEEE International Conference on Acoustics, 2021

Optimal Stochastic Coded Computation Offloading in Unmanned Aerial Vehicles Network.
Proceedings of the IEEE Global Communications Conference, 2021

An Incentive Mechanism for Resource Allocation in Coded Distributed Computing.
Proceedings of the 15th IEEE International Conference on Big Data Science and Engineering, 2021

AI-Empowered Decision Support for COVID-19 Social Distancing.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks.
IEEE Internet Things J., 2020

A Survey of Coded Distributed Computing.
CoRR, 2020

Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning.
CoRR, 2020

Federated Learning in Mobile Edge Networks: A Comprehensive Survey.
IEEE Commun. Surv. Tutorials, 2020

Privacy is not Free: Energy-Aware Federated Learning for Mobile and Edge Intelligence.
Proceedings of the 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020

Incentive Mechanism Design for Mobile Data Rewards using Multi-Dimensional Contract.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Incentive Mechanism Design for Federated Learning in the Internet of Vehicles.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Dynamic Resource Allocation for Hierarchical Federated Learning.
Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020

An incentive scheme for federated learning in the sky.
Proceedings of the DroneCom '20: Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2020

Communication-Efficient Federated Learning in UAV-enabled IoV: A Joint Auction-Coalition Approach.
Proceedings of the IEEE Global Communications Conference, 2020

Communication-Efficient Federated Learning for Anomaly Detection in Industrial Internet of Things.
Proceedings of the IEEE Global Communications Conference, 2020

Multi-Dimensional Contract-Matching for Federated Learning in UAV-Enabled Internet of Vehicles.
Proceedings of the IEEE Global Communications Conference, 2020


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