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Handi Chen - IEEE Xplore Author Profile
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Handi Chen

Publications
10
Citations
151
Publications by Year
20192025
Co-Authors:
Show All Co-Authors (29)
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Handi Chen

Affiliation

Department of Electrical and Electronic Engineering
University of Hong Kong
Hong Kong, China

Publication Topics

Biography

Handi Chen (Student Member, IEEE) received the B.Sc. degrees in network engineering from the Tianjin University of Science and Technology, Tianjin, China, in 2019. She is currently working toward the M.Sc. degree in software engineering with the School of Software, Dalian University of Technology, Dalian, China.,Her research interests include mobile edge computing, resource allocation, and network optimization.(Based on document published on 1 December 2021).
Publications
10
Citations
151
Publications by Year
20192025
Co-Authors:
Show All Co-Authors (29)
Author's Published Works

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Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges

Handi Chen;Weipeng Deng;Shuo Yang;Jinfeng Xu;Zhihan Jiang;Edith C.H. Ngai;Jiangchuan Liu;Xue Liu

IEEE Network
Year: 2025 | Early Access Article |
Edge Intelligence (EI) has been instrumental in delivering real-time, localized services by leveraging the computational capabilities of edge networks. The integration of Large Language Models (LLMs) empowers EI to evolve into the next stage: Edge General Intelligence (EGI), enabling more adaptive and versatile applications that require advanced understanding and reasoning capabilities. However, s...Show More

Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges

Handi Chen;Weipeng Deng;Shuo Yang;Jinfeng Xu;Zhihan Jiang;Edith C.H. Ngai;Jiangchuan Liu;Xue Liu

Year: 2025 | Early Access Article |

LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks

Handi Chen;Rui Zhou;Yun-Hin Chan;Zhihan Jiang;Xianhao Chen;Edith C. H. Ngai

IEEE Transactions on Mobile Computing
Year: 2025 | Volume: 24, Issue: 3 | Journal Article |
Leveraging blockchain in Federated Learning (FL) emerges as a new paradigm for secure collaborative learning on Massive Edge Networks (MENs). As the scale of MENs increases, it becomes more difficult to implement and manage a blockchain among edge devices due to complex communication topologies, heterogeneous computation capabilities, and limited storage capacities. Moreover, the lack of a standar...Show More

LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks

Handi Chen;Rui Zhou;Yun-Hin Chan;Zhihan Jiang;Xianhao Chen;Edith C. H. Ngai

Year: 2025 | Volume: 24, Issue: 3 | Journal Article |

BF-Meta: Secure Blockchain-enhanced Privacy-preserving Federated Learning for Metaverse

Wenbo Liu;Handi Chen;Edith C.H. Ngai

2024 IEEE International Conference on Metaverse Computing, Networking, and Applications (MetaCom)
Year: 2024 | Conference Paper |
The metaverse, emerging as a revolutionary platform for social and economic activities, provides various virtual services while posing security and privacy challenges. Wearable devices serve as bridges between the real world and the metaverse. To provide intelligent services without revealing users’ privacy in the metaverse, leveraging federated learning (FL) to train models on local wearable devi...Show More

BF-Meta: Secure Blockchain-enhanced Privacy-preserving Federated Learning for Metaverse

Wenbo Liu;Handi Chen;Edith C.H. Ngai

Year: 2024 | Conference Paper |

HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data

Zhihan Jiang;Handi Chen;Rui Zhou;Jing Deng;Xinchen Zhang;Running Zhao;Cong Xie;Yifang Wang;Edith C.H. Ngai

IEEE Transactions on Visualization and Computer Graphics
Year: 2024 | Volume: 30, Issue: 1 | Journal Article |
Cited by: Papers (2)
The correlation between children's personal and family characteristics (e.g., demographics and socioeconomic status) and their physical and mental health status has been extensively studied across various research domains, such as public health, medicine, and data science. Such studies can provide insights into the underlying factors affecting children's health and aid in the development of target...Show More

HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data

Zhihan Jiang;Handi Chen;Rui Zhou;Jing Deng;Xinchen Zhang;Running Zhao;Cong Xie;Yifang Wang;Edith C.H. Ngai

Year: 2024 | Volume: 30, Issue: 1 | Journal Article |

Lightweight Imitation Learning for Real-Time Cooperative Service Migration

Zhaolong Ning;Handi Chen;Edith C. H. Ngai;Xiaojie Wang;Lei Guo;Jiangchuan Liu

IEEE Transactions on Mobile Computing
Year: 2024 | Volume: 23, Issue: 2 | Journal Article |
Cited by: Papers (36)
Due to the revolution of communication technology, the rapidly increasing number of mobile devices in edge networks generates various real-time service requests, requiring a considerable volume of heterogeneous resources all the time. However, edge devices with limited resources cannot afford substantial learning cost, while migrating services requires heterogeneous resources, especially for dynam...Show More

Lightweight Imitation Learning for Real-Time Cooperative Service Migration

Zhaolong Ning;Handi Chen;Edith C. H. Ngai;Xiaojie Wang;Lei Guo;Jiangchuan Liu

Year: 2024 | Volume: 23, Issue: 2 | Journal Article |

Distributed Orchestration of Service Function Chains for Edge Intelligence in the Industrial Internet of Things

Handi Chen;Shupeng Wang;Guojun Li;Laisen Nie;Xiaojie Wang;Zhaolong Ning

IEEE Transactions on Industrial Informatics
Year: 2022 | Volume: 18, Issue: 9 | Journal Article |
Cited by: Papers (17)
Network virtualization techniques are promising to overcome the obstacle of applying and expanding costly traditional networks in the industrial Internet of things (IIoT). Artificial intelligence (AI)-enhanced distributed resource management in edge networks has aroused researchers’ widespread attention. However, dynamically arrived service requests and limited edge resources complicate the servic...Show More

Distributed Orchestration of Service Function Chains for Edge Intelligence in the Industrial Internet of Things

Handi Chen;Shupeng Wang;Guojun Li;Laisen Nie;Xiaojie Wang;Zhaolong Ning

Year: 2022 | Volume: 18, Issue: 9 | Journal Article |

Blockchain-Enabled Electrical Fault Inspection and Secure Transmission in 5G Smart Grids

Zhaolong Ning;Handi Chen;Xiaojie Wang;Shupeng Wang;Lei Guo

IEEE Journal of Selected Topics in Signal Processing
Year: 2022 | Volume: 16, Issue: 1 | Journal Article |
Cited by: Papers (19)
The maturity of the 5th-Generation (5G) communication technology promotes a new round of industrial revolution and supports the high-quality development of economic society. However, owing to the scarce communication resources, costly labor and complex geographic environment, inspecting and maintaining electrical faults accurately and timely in a remote grid is rather challenging. To solve this pr...Show More

Blockchain-Enabled Electrical Fault Inspection and Secure Transmission in 5G Smart Grids

Zhaolong Ning;Handi Chen;Xiaojie Wang;Shupeng Wang;Lei Guo

Year: 2022 | Volume: 16, Issue: 1 | Journal Article |

Collaborative Caching for Energy Optimization in Content-Centric Internet of Things

Shupeng Wang;Handi Chen;Yongjian Wang

IEEE Transactions on Computational Social Systems
Year: 2022 | Volume: 9, Issue: 1 | Journal Article |
Cited by: Papers (16)
The development of the content-centric Internet of Things (C2IoT) enriches the services provided by the IoT devices, which diversifies the provided contents. However, system resources are terribly wasted by repeated delivering the same content. Efficiently utilizing caching resources can reduce the link load caused by delivering and forwarding contents, further improving the users’ quality of expe...Show More

Collaborative Caching for Energy Optimization in Content-Centric Internet of Things

Shupeng Wang;Handi Chen;Yongjian Wang

Year: 2022 | Volume: 9, Issue: 1 | Journal Article |

Joint Optimization of Task Offloading and Resource Allocation Based on Differential Privacy in Vehicular Edge Computing

Shupeng Wang;Jun Li;Guangjun Wu;Handi Chen;Shihui Sun

IEEE Transactions on Computational Social Systems
Year: 2022 | Volume: 9, Issue: 1 | Journal Article |
Cited by: Papers (39)
In the Internet of Vehicles (IoVs), task offloading is necessary to ensure the low-response delay due to the limitation of vehicular computational capacity. Task offloading involving social behavior can improve the utilization of computational resources in IoVs. To offload tasks effectively, the connected vehicles (CVs) need to upload context information, such as speed and location to road side un...Show More

Joint Optimization of Task Offloading and Resource Allocation Based on Differential Privacy in Vehicular Edge Computing

Shupeng Wang;Jun Li;Guangjun Wu;Handi Chen;Shihui Sun

Year: 2022 | Volume: 9, Issue: 1 | Journal Article |

Green Internet of Vehicles: Architecture, Enabling Technologies, and Applications

Handi Chen;Tingting Zhao;Chengming Li;Yi Guo

IEEE Access
Year: 2019 | Volume: 7 | Journal Article |
Cited by: Papers (22)
With the development of Internet of Vehicles (IoV) and the gradual maturity of 5th Generation Mobile Networks (5G) technology, the further development of the IoV highly relies on network energy and resources. However, basic methods of researching new energy or improving equipment result in high cost. This article focuses on researching how to minimize energy consumption and maximize resource utili...Show More

Green Internet of Vehicles: Architecture, Enabling Technologies, and Applications

Handi Chen;Tingting Zhao;Chengming Li;Yi Guo

Year: 2019 | Volume: 7 | Journal Article |

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