Victor C. M. Leung

Research interests

Publications

• Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services

  IEEE Communications Surveys & Tutorials · 2024 · https://doi.org/10.1109/comst.2024.3353265

• Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive Review

  IEEE Communications Surveys & Tutorials · 2024 · 10.1109/comst.2024.3385908

• Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach

  IEEE Transactions on Intelligent Transportation Systems · 2023 · https://doi.org/10.1109/tits.2023.3242997

• Deep Reinforcement Learning for Energy-Efficient Computation Offloading in Mobile-Edge Computing

  IEEE Internet of Things Journal · 2021 · 10.1109/jiot.2021.3091142

• Enabling Massive IoT Toward 6G: A Comprehensive Survey

  IEEE Internet of Things Journal · 2021 · 10.1109/jiot.2021.3063686

• Blockchain-Assisted Secure Fine-Grained Searchable Encryption for a Cloud-Based Healthcare Cyber-Physical System

  IEEE/CAA Journal of Automatica Sinica · 2021 · https://doi.org/10.1109/jas.2021.1004003

• Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

  IEEE Communications Surveys & Tutorials · 2020 · https://doi.org/10.1109/comst.2020.2970550

• Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching

  IEEE Internet of Things Journal · 2020 · 10.1109/jiot.2020.2986803

• Performance Optimization for Blockchain-Enabled Industrial Internet of Things (IIoT) Systems: A Deep Reinforcement Learning Approach

  IEEE Transactions on Industrial Informatics · 2019 · 10.1109/tii.2019.2897805

• UAV Trajectory Optimization for Data Offloading at the Edge of Multiple Cells

  IEEE Transactions on Vehicular Technology · 2018 · 10.1109/tvt.2018.2811942

• Blockchain-Based Decentralized Trust Management in Vehicular Networks

  IEEE Internet of Things Journal · 2018 · https://doi.org/10.1109/jiot.2018.2836144

• A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View

  IEEE Access · 2018 · https://doi.org/10.1109/access.2018.2805680

• Decentralized Applications: The Blockchain-Empowered Software System

  IEEE Access · 2018 · 10.1109/access.2018.2870644

• Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach

  IEEE Communications Magazine · 2017 · 10.1109/mcom.2017.1700246

• Energy Efficient User Association and Power Allocation in Millimeter-Wave-Based Ultra Dense Networks With Energy Harvesting Base Stations

  IEEE Journal on Selected Areas in Communications · 2017 · 10.1109/jsac.2017.2720898

• Network Slicing Based 5G and Future Mobile Networks: Mobility, Resource Management, and Challenges

  IEEE Communications Magazine · 2017 · https://doi.org/10.1109/mcom.2017.1600940

• Energy-Efficient Resource Allocation for Downlink Non-Orthogonal Multiple Access Network

  IEEE Transactions on Communications · 2016 · 10.1109/tcomm.2016.2594759

• EMC: Emotion-aware mobile cloud computing in 5G

  IEEE Network · 2015 · https://doi.org/10.1109/mnet.2015.7064900

• Electricity Theft Detection in AMI Using Customers’ Consumption Patterns

  IEEE Transactions on Smart Grid · 2015 · 10.1109/tsg.2015.2425222

• Wireless energy harvesting for the Internet of Things

  IEEE Communications Magazine · 2015 · 10.1109/mcom.2015.7120024

• In-Band Full-Duplex Relaying: A Survey, Research Issues and Challenges

  IEEE Communications Surveys & Tutorials · 2015 · 10.1109/comst.2015.2394324

• Green Internet of Things for Smart World

  IEEE Access · 2015 · 10.1109/access.2015.2497312

• Recent Advances in Industrial Wireless Sensor Networks Toward Efficient Management in IoT

  IEEE Access · 2015 · 10.1109/access.2015.2435000

• Big Data

  SpringerBriefs in computer science · 2014 · https://doi.org/10.1007/978-3-319-06245-7

• Cache in the air: exploiting content caching and delivery techniques for 5G systems

  IEEE Communications Magazine · 2014 · https://doi.org/10.1109/mcom.2014.6736753

• CAP: community activity prediction based on big data analysis

  IEEE Network · 2014 · https://doi.org/10.1109/mnet.2014.6863132

• A Survey of Recent Developments in Home M2M Networks

  IEEE Communications Surveys & Tutorials · 2014 · https://doi.org/10.1109/surv.2013.110113.00249

• Extreme Learning Machines [Trends & Controversies]

  IEEE Intelligent Systems · 2013 · 10.1109/mis.2013.140

• Body Area Networks: A Survey

  Mobile Networks and Applications · 2010 · https://doi.org/10.1007/s11036-010-0260-8

• Enabling technologies for wireless body area networks: A survey and outlook

  IEEE Communications Magazine · 2009 · 10.1109/mcom.2009.5350373

• Applications and design issues for mobile agents in wireless sensor networks

  IEEE Wireless Communications · 2007 · https://doi.org/10.1109/mwc.2007.4407223

• Regulation of ion channel localization and phosphorylation by neuronal activity

  Nature Neuroscience · 2004 · 10.1038/nn1260

Current projects

No projects listed.