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Chen Shang - IEEE Xplore Author Profile
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Chen Shang

Publications
7
Citations
2
Publications by Year
20242025
Co-Authors:
Show All Co-Authors (20)
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Chen Shang

Affiliation

Pillar of Information Systems Technology and Design, Singapore University of Technology and Design, Singapore

Publication Topics

Biography

Chen Shang is currently a Research Assistant of Pillar of Information Systems Technology and Design with Singapore University of Technology and Design, Singapore.
Publications
7
Citations
2
Publications by Year
20242025
Co-Authors:
Show All Co-Authors (20)
Author's Published Works

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UAV-Assisted Zero Knowledge Model Proof for Generative AI: A Multi-Agent Deep Reinforcement Learning Approach

Min Hao;Chen Shang;Siming Wang;Wenchao Jiang;Jiangtian Nie

IEEE Internet of Things Journal
Year: 2025 | Early Access Article |
As more users seek generative AI models to enhance work efficiency, generative AI and Model-as-a-Service will drive transformative changes and upgrades across all industries. However, when users utilize generative AI models provided by the service provider, they cannot be certain that the model’s quality matches the provider’s claims. Considering the need to protect intellectual property, the serv...Show More

UAV-Assisted Zero Knowledge Model Proof for Generative AI: A Multi-Agent Deep Reinforcement Learning Approach

Min Hao;Chen Shang;Siming Wang;Wenchao Jiang;Jiangtian Nie

Year: 2025 | Early Access Article |

Constructing the Metaverse With a New Perspective: UAV FoV-Assisted Low-Latency Imaging

Chen Shang;Dinh Thai Hoang;Jiadong Yu;Min Hao;Dusit Niyato

IEEE Wireless Communications Letters
Year: 2025 | Volume: 14, Issue: 1 | Journal Article |
Unmanned Aerial Vehicles (UAVs) are emerging as a potential sensor for capturing images and data for constructing the Metaverse due to their unparalleled mobility and special field of view (FoV). However, the lack of an accurate image capturing model and the challenge of selecting optimal flight strategies significantly degrade the effectiveness of UAV deployment. This letter introduces a novel UA...Show More

Constructing the Metaverse With a New Perspective: UAV FoV-Assisted Low-Latency Imaging

Chen Shang;Dinh Thai Hoang;Jiadong Yu;Min Hao;Dusit Niyato

Year: 2025 | Volume: 14, Issue: 1 | Journal Article |

Digital-Twin-Assisted Safety Control for Connected Automated Vehicles in Mixed-Autonomy Traffic

Xiaoxu Wang;Min Hao;Maoqiang Wu;Chen Shang;Rong Yu;Jiawen Kang;Zehui Xiong;Yuan Wu

IEEE Internet of Things Journal
Year: 2025 | Volume: 12, Issue: 1 | Journal Article |
Cited by: Papers (1)
With the development of intelligent transportation systems (ITSs), digital twin (DT) technology is becoming increasingly widespread in the application of connected automated vehicles (CAVs) to enhance driving safety. However, when DT systems are used for driving safety decisions through virtual control of reality and virtual reflection of reality, decision errors may occur, which can be fatal for ...Show More

Digital-Twin-Assisted Safety Control for Connected Automated Vehicles in Mixed-Autonomy Traffic

Xiaoxu Wang;Min Hao;Maoqiang Wu;Chen Shang;Rong Yu;Jiawen Kang;Zehui Xiong;Yuan Wu

Year: 2025 | Volume: 12, Issue: 1 | Journal Article |

C-V2X Aided Vehicular Blockchain Sharding Incentive Mechanism in Vehicular Edge Computing

Siming Wang;Min Hao;Chen Shang;Wenchao Jiang

GLOBECOM 2024 - 2024 IEEE Global Communications Conference
Year: 2024 | Conference Paper |
Blockchain has been considered as a critical solution to handle the privacy and security concerns for data sharing in vehicular networks. However, deploying vehicular blockchain onboard vehicles is constrained by the sophisticated communication environments of vehicular networks, the restricted resources of vehicles, and self-interested property of vehicles. In this paper, a Cellular Vehicle-to-Ev...Show More

C-V2X Aided Vehicular Blockchain Sharding Incentive Mechanism in Vehicular Edge Computing

Siming Wang;Min Hao;Chen Shang;Wenchao Jiang

Year: 2024 | Conference Paper |

Optimizing Multi-Device Wireless Power Transfer Systems: A Novel Decoupling Strategy with Bipolar Coils

Yunzhi Zhou;Min Hao;Chen Shang;Yaqi Hu;Shengli Xie;Victor Kuzin

2024 4th International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)
Year: 2024 | Conference Paper |
Wireless power transfer (WPT) technology provides key advantages over traditional charging methods, such as increased safety, convenience, and a broader charging range. However, single-receiver WPT systems lack resilience to transmitter coil failures and cannot simultaneously support multiple devices within the same charging area. Thus, the development of multi-load WPT systems is becoming increas...Show More

Optimizing Multi-Device Wireless Power Transfer Systems: A Novel Decoupling Strategy with Bipolar Coils

Yunzhi Zhou;Min Hao;Chen Shang;Yaqi Hu;Shengli Xie;Victor Kuzin

Year: 2024 | Conference Paper |

Energy-Efficient Decentralized Federated Learning for UAV Swarm With Spiking Neural Networks and Leader Election Mechanism

Chen Shang;Dinh Thai Hoang;Min Hao;Dusit Niyato;Jiadong Yu

IEEE Wireless Communications Letters
Year: 2024 | Volume: 13, Issue: 10 | Journal Article |
Federated Learning (FL) has been considered a critical technique for assisting Unmanned Aerial Vehicle (UAV) swarm to efficiently perform tasks in dynamic environments. However, deploying FL in UAV swarm is constrained by the limited energy of the UAVs and the complex communication environments within UAV swarm networks. This letter introduces a leader election-assisted Spiking Neural Networks (SN...Show More

Energy-Efficient Decentralized Federated Learning for UAV Swarm With Spiking Neural Networks and Leader Election Mechanism

Chen Shang;Dinh Thai Hoang;Min Hao;Dusit Niyato;Jiadong Yu

Year: 2024 | Volume: 13, Issue: 10 | Journal Article |

Social Attention Network Fused Multipatch Temporal–Variable-Dependency-Based Trajectory Prediction for Internet of Vehicles

Zirui Zhang;Min Hao;Xumin Huang;Chen Shang;Rong Yu;Zehui Xiong;Ryan Wen Liu

IEEE Internet of Things Journal
Year: 2024 | Volume: 11, Issue: 19 | Journal Article |
Cited by: Papers (1)
Vehicle trajectory prediction (VTP) is important for ensuring safe decision-making and planning in Internet of Vehicles (IoV). In complex traffic scenarios, accurate and reliable trajectory prediction requires comprehensive understanding of the interaction behaviors among vehicles. However, existing methods fail to effectively capture vehicle interaction features and fully explore their potential ...Show More

Social Attention Network Fused Multipatch Temporal–Variable-Dependency-Based Trajectory Prediction for Internet of Vehicles

Zirui Zhang;Min Hao;Xumin Huang;Chen Shang;Rong Yu;Zehui Xiong;Ryan Wen Liu

Year: 2024 | Volume: 11, Issue: 19 | Journal Article |

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