Lei Zhong

Department

• Digital Infrastructure Innovation Dept.,
  InfoTech Div.

Biography

• 2018-

  Toyota Motor Corporation
  Engaged in research, development and standardization of multi-tier distributed communication technologies for collecting and disseminating large-scale automoitive data

• 2015-
  2017

  National Institute of Informatics and The University of Tokyo
  Conducted research on a disaster-resilient wireless communication network based on Big-data analytics

• 2012-
  2015

  National Institute of Information and Communications Technology
  Engaged in research and development on wireless communication network virtualization and Internet-of-Things in next-generation networks

• 2011-
  2012

  Research Organization of Information and Systems
  Conducted research on privacy-preserving technologies for personal data publishing

• 2011

  Doctorate Degree (Informatics), The Graduate University for Advanced Studies, Japan

Publication List/Conference presentation

Main Technical Publications

• Dynamic traffic distribution method of edge servers via Telco API, The Institute of Electronics, Information and Communication Engineers, Network Systems Workshop

• Fuzzy Logic-based Enhanced Edge Server Selection for Hierarchical Federated Learning,IEEE Globecom 2024

• Boosting Rare Scenario Perception in Autonomous Driving: An Adaptive Approach with MoEs and LoRA, IEEE Internet of Things Journal

• Evaluating LEO Satellite Communication for Connected Vehicles: An Integrated Simulation Approach, ERTCO-ITS Europe, 2024 ITS World Congress

• Enhancing User Mobility via Dynamic Network Slice Switching of Edge and Cloud Orchestration, ERTICO - ITS Europe, The 30th ITS World Congress in Dubai

• Diversifying automotive connectivity: Coded content distribution over vehicle-to-vehicle networks, ERTICO - ITS Europe, The 30th ITS World Congress in Dubai

• A Fuzzy Logic-based Adaptive Multi-Robot Formation Tracking in Lossy Communication Environment, ERTICO - ITS Europe, The 30th ITS World Congress in Dubai

• Data Offloading Over Vehicular DTNs: City-Wide Feasibility Study in Nagoya, IEEE Open Journal of Vehicular Technology

• Hier-FedMeta: A Hierarchical Federated Meta-Learning Framework for Personalized and Efficient IoV Systems, IEEE Vehicular Technology Conference: VTC2024-Spring

• NUMo: Nagoya Urban Mobility Scenario for City-Scale V2X Simulations, IEEE VNC 2024

• LEO Satellite Simulation Framework for Connected Vehicles, IEEE GLOBECOM 2023

• A scalable approach to optimize traffic signal control with federated reinforcement learning, Nature Scientific Reports

• Communication-efficient Federated Learning for UAV Networks with Knowledge Distillation and Transfer Learning, IEEE, IEEE Global Communications Conference

• Dynamic Network Slice Switching for Enhancing Edge and Cloud Infrastructures, IEICE, IEICE Technical Committee on Network Systems

• Blockchain-based Edge-assisted Knowledge Base Management for Semantic Communication in Remote Driving, IEEE, IEEE ICNP workshop

• Low-Latency Perception Sharing Services for Connected Autonomous Vehicles, IEEE, IEEE Vehicular Technology Conference

• Semantic Communication for Efficient Image Transmission Tasks based on Masked Autoencoders, IEEE, IEEE Vehicular Technology Conference

• DRL-assisted Network Selection for Federated IoV, IEEE, IEEE Internet of Things Magazine

• Meta-Networking: Beyond the Shannon Limit with Multi-faceted Information, IEEE, IEEE Network

• Semantic Segmentation-based Semantic Communication System for Image Transmission, Elsevier, Digital Communications and Networks

• LEO Satellite Simulator for Connected Vehicle Scenarios, The Institute of Electronics, Information and Communication Engineers (IEICE), Technical Committee on Satellite Communications (2023 March)

• On-device Federated Learning with Fuzzy Logic based Client Selection, ACM, ACM RACS 2022

• An Communication-Efficient Distributed Machine Learning Scheme in Vehicular Network, ACM, ACM RACS 2022

• Toward Efficient Blockchain for the Internet of Vehicles with Hierarchical Blockchain Resource Scheduling, MDPI, MDPI Electronics, 2022

• Fuzzy Logic based Client Selection for Federated Learning in Vehicular Networks, IEEE, IEEE Open Journal of the Computer Society, 2022

• Communication Resources Management based on Spectrum Sensing for Vehicle Platooning, IEEE, IEEE Transactions on Intelligent Transportation Systems, 2022

• Intelligent Network Slicing with Edge Computing for Internet of Vehicles, IEEE Access journal

• "Driving Data to the Edge: The Challenge of Traffic Distribution", Techinical Report, Automotive Edge Computing Consortium, 2019.

• "Building Dynamic Mapping with CUPS for Next Generation Automotive Edge Computing", IEEE CloudNet 2019.

• “Mission Planning for UAV-based Opportunistic Disaster Recovery Networks”, IEEE CCNC, Jan. 2018.

• “Population-aware relay placement for wireless multi-hop based network disaster recovery”, IEEE GLOBECOM , Dec. 2017.

• “Spatio-temporal data-driven analysis of mobile network availability during natural disasters”, IEEE ICT-DM, Dec. 2016. (Best Paper Award)

Presentaitons

• Panel: Unlocking Innovation at the Edge: Stories and Experiences （AECC introduction）, ACM/IEEE, ACM/IEEE Symposium on Edge Computing

• Plenary Session: Wi-Fi driving innovation in the automotive market, Wi-Fi Alliance, Wi-Fi Alliance member meeting

• AECC Panel Discussion: Edge Computing in the Automotive Industry, Informa, 5G World Summit

• A Scalable Blockchain-based High-Definition Map Update Management System, IEEE International Smart Cities Conference 2021

• Service-aware 5G/B5G Cellular Networks for Future Connected Vehicles, IEEE International Smart Cities Conference 2021

• ""Driving Data to the Edge - Challenges and Solutions in Automotive Edge Computing"", Industry Panel, IEEE Global Communications Conference, 2019.

• "Automotive Edge Computing for Connected Vehicles", invited talk, the Institute of Electronics, Information and Communication Engineers (IEICE) Society Conference 2019.

• ""Insights from the applied edge"", Industry Panel, ACM/IEEE Symposium on Edge Computing, 2018.

• Future Vehicles Summit, Industry Panel, Mobile World Congress Shanghai 2018."

Others

• Tackling against the era of data localizations: Federated Learning Taskforce approaches, Woven by Toyota. Toyota Global Summit 2023