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Liangxin Qian

Publications

Citations

Publications by Year

20232025

Co-Authors:

Ze ChenTerence Jie ChuaSongtao GuoKwok-Yan LamRenyang Liu

Show All Co-Authors (14)

Liangxin Qian

Affiliation

College of Computing and Data Science

Nanyang Technological University

Jurong West, Singapore

Publication Topics

Optimization Problem,
Mobile Edge Computing,
Resource Allocation,
Communication Resources,
Energy Consumption,
Computational Resources,
Fractional Programming,
Internet Of Things,
Optimal Resource Allocation,
Proximal Policy Optimization,
Total Bandwidth,
Transmission Power

Biography

Liangxin Qian (Graduate Student Member, IEEE) received the bachelor’s and master’s degrees in communication engineering from the University of Electronic Science and Technology of China, Chengdu, China, in 2019 and 2022, respectively. He is currently pursuing the Ph.D. degree with the College of Computing and Data Science, Nanyang Technological University, Singapore.(Based on document published on 13 August 2024).

Publications

Citations

Publications by Year

20232025

Co-Authors:

Ze Chen
Terence Jie Chua
Songtao Guo
Kwok-Yan Lam
Renyang Liu

Show All Co-Authors (14)

Author's Published Works

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Showing 1-9 of 9 results

Conferences (4)

Journals (3)

Early Access Articles (1)

Magazines (1)

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Single Year
Liangxin Qian(9)
Jun Zhao(8)
Kwok-Yan Lam(3)
Peiyuan Si(3)
Renyang Liu(2)
Nanyang Technological University (NTU), Singapore(2)
University of Electronic Science and Technology of China (UESTC), Chengdu, P. R. China(1)
At NTU, the College of Computing and Data Science (CCDS) was formerly known as the School of Computer Science and Engineering (SCSE)(1)
Graduate College, Nanyang Technological University(1)
College of Computing and Data Science, Nanyang Technological University, Singapore, Singapore(1)
IEEE Transactions on Wireless Communications(2)
2024 10th International Conference on Big Data Computing and Communications (BigCom)(1)
2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)(1)
2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)(1)
GLOBECOM 2023 - 2023 IEEE Global Communications Conference(1)
IEEE(9)
Dalian, China(1)
Jersey City, NJ, USA(1)
Kuala Lumpur, Malaysia(1)
Singapore, Singapore(1)
Optimization Problem(6)
Mobile Edge Computing(5)
Resource Allocation(5)
Communication Resources(4)
Energy Consumption(4)

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Post-Deployment Fine-Tunable Semantic Communication

Peiyuan Si;Renyang Liu;Liangxin Qian;Jun Zhao;Kwok-Yan Lam

IEEE Transactions on Wireless Communications

Year: 2025 | Volume: 24, Issue: 1 | Journal Article |

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Semantic communication (SemCom) is an emerging way that aims to improve communication efficiency based on the semantics of content, which relies on the knowledge base (KB) and is usually dedicated to specific tasks or datasets. To improve the adaptability of SemCom systems on unknown datasets, we propose a post-deployment Fine-Tunable Semantic Communication (FTSC) system for image transmission. To...Show More

Post-Deployment Fine-Tunable Semantic Communication

Peiyuan Si;Renyang Liu;Liangxin Qian;Jun Zhao;Kwok-Yan Lam

IEEE Transactions on Wireless Communications

Year: 2025 | Volume: 24, Issue: 1 | Journal Article |

User Connection and Resource Allocation Optimization in Blockchain Empowered Metaverse Over 6G Wireless Communications

Liangxin Qian;Chang Liu;Jun Zhao

IEEE Transactions on Wireless Communications

Year: 2025 | Volume: 24, Issue: 1 | Journal Article |

Cited by: Papers (1)

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The convergence of blockchain, Metaverse, and non-fungible tokens (NFTs) brings transformative digital opportunities alongside challenges like privacy and resource management. Addressing these, we focus on optimizing user connectivity and resource allocation in an NFT-centric and blockchain-enabled Metaverse in this paper. Through user work-offloading, we optimize data tasks, user connection param...Show More

User Connection and Resource Allocation Optimization in Blockchain Empowered Metaverse Over 6G Wireless Communications

Liangxin Qian;Chang Liu;Jun Zhao

IEEE Transactions on Wireless Communications

Year: 2025 | Volume: 24, Issue: 1 | Journal Article |

Fine-Tunable Semantic Communication for Image Transmission

Peiyuan Si;Renyang Liu;Liangxin Qian;Jun Zhao;Kwok-Yan Lam

2024 10th International Conference on Big Data Computing and Communications (BigCom)

Year: 2024 | Conference Paper |

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Semantic communication (SemCom) is a novel approach aimed at boosting the efficacy of data exchange by leveraging the semantic essence of the content, which typically relies on a knowledge base (KB) and is often tailored for specific tasks or datasets. To enhance the adaptability of SemCom systems to unknown datasets, we introduce a post-deployment Fine-Tunable Semantic Communication (FTSC) system...Show More

Fine-Tunable Semantic Communication for Image Transmission

Peiyuan Si;Renyang Liu;Liangxin Qian;Jun Zhao;Kwok-Yan Lam

2024 10th International Conference on Big Data Computing and Communications (BigCom)

Year: 2024 | Conference Paper |

User Association and Resource Allocation in Large Language Model Based Mobile Edge Computing System over 6G Wireless Communications

Liangxin Qian;Jun Zhao

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)

Year: 2024 | Conference Paper |

Cited by: Papers (2)

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In the rapidly evolving landscape of large language models (LLMs) and mobile edge computing for 6G, the need for efficient service delivery to mobile users with constrained computational resources has become paramount. Addressing this, our paper delves into a collaborative framework for model training where user data and model adapters are shared with servers to optimize performance. Within this f...Show More

User Association and Resource Allocation in Large Language Model Based Mobile Edge Computing System over 6G Wireless Communications

Liangxin Qian;Jun Zhao

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)

Year: 2024 | Conference Paper |

Counterfactual Reward Estimation for Credit Assignment in Multi-agent Deep Reinforcement Learning over Wireless Video Transmission

Y. Wenhan;Liangxin Qian;Terence Jie Chua;Jun Zhao

2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)

Year: 2024 | Conference Paper |

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This study investigates frame-wise optimization in Mobile Edge Computing (MEC) for video transmission, emphasizing dynamic adaptation to diverse frame complexities and efficient resource utilization. The comprehensive system model captures the complexities of joint optimizations in MEC for real-time video transmission, addressing challenges associated with error concealment techniques, and enhanci...Show More

Counterfactual Reward Estimation for Credit Assignment in Multi-agent Deep Reinforcement Learning over Wireless Video Transmission

Y. Wenhan;Liangxin Qian;Terence Jie Chua;Jun Zhao

2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)

Year: 2024 | Conference Paper |

AMFL: Resource-Efficient Adaptive Metaverse-Based Federated Learning for the Human-Centric Augmented Reality Applications

Dewen Qiao;Liangxin Qian;Songtao Guo;Jun Zhao;Pengzhan Zhou

IEEE Transactions on Neural Networks and Learning Systems

Year: 2024 | Early Access Article |

Cited by: Papers (1)

The emergence of 5G technology has enabled the development of Metaverse applications that provide users with immersive experiences through augmented reality (AR) devices, and the integration of federated learning (FL) with the Metaverse AR (MAR) systems can enable many edge intelligence services in 5G. However, the presence of nonindependent and identically distributed (Non-IID) data across all AR...Show More

AMFL: Resource-Efficient Adaptive Metaverse-Based Federated Learning for the Human-Centric Augmented Reality Applications

Dewen Qiao;Liangxin Qian;Songtao Guo;Jun Zhao;Pengzhan Zhou

IEEE Transactions on Neural Networks and Learning Systems

Year: 2024 | Early Access Article |

Human-Centric Resource Allocation in the Metaverse Over Wireless Communications

Jun Zhao;Liangxin Qian;Wenhan Yu

IEEE Journal on Selected Areas in Communications

Year: 2024 | Volume: 42, Issue: 3 | Journal Article |

Cited by: Papers (10)

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The Metaverse will provide numerous immersive applications for human users, by consolidating technologies like extended reality (XR), video streaming, and cellular networks. Optimizing wireless communications to enable the human-centric Metaverse is important to satisfy the demands of mobile users. In this paper, we formulate the optimization of the system utility-cost ratio (UCR) for the Metavers...Show More

Human-Centric Resource Allocation in the Metaverse Over Wireless Communications

Jun Zhao;Liangxin Qian;Wenhan Yu

IEEE Journal on Selected Areas in Communications

Year: 2024 | Volume: 42, Issue: 3 | Journal Article |

Proximal Policy Optimization-Based Anti-Jamming UAV-Assisted Data Collection

Ze Chen;Ping Yang;Yue Xiao;Liangxin Qian

GLOBECOM 2023 - 2023 IEEE Global Communications Conference

Year: 2023 | Conference Paper |

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In this paper, we study an unmanned aerial vehicle (UAV) assisted data collection (DC) system and consider the interference caused by malicious nodes. To ensure sustainable communication, a bi-objective optimization problem is proposed to jointly optimize the maximization of the total data throughput and the minimization of the UAV energy consumption. To this end, a proximal policy optimization (P...Show More

Proximal Policy Optimization-Based Anti-Jamming UAV-Assisted Data Collection

Ze Chen;Ping Yang;Yue Xiao;Liangxin Qian

GLOBECOM 2023 - 2023 IEEE Global Communications Conference

Year: 2023 | Conference Paper |

A Hybrid Framework of Reinforcement Learning and Convex Optimization for UAV-Based Autonomous Metaverse Data Collection

Peiyuan Si;Liangxin Qian;Jun Zhao;Kwok-Yan Lam

IEEE Network

Year: 2023 | Volume: 37, Issue: 4 | Magazine Article |

Cited by: Papers (3)

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Unmanned aerial vehicles (UAVs) are promising for providing communication services due to their advantages in cost and mobility, especially in the context of the emerging Metaverse and Internet of Things (IoT). This article considers a UAV-assisted Metaverse network, in which UAVs extend the coverage of the base station (BS) to collect the Metaverse data generated at roadside units (RSUs). Specifi...Show More

A Hybrid Framework of Reinforcement Learning and Convex Optimization for UAV-Based Autonomous Metaverse Data Collection

Peiyuan Si;Liangxin Qian;Jun Zhao;Kwok-Yan Lam

IEEE Network

Year: 2023 | Volume: 37, Issue: 4 | Magazine Article |

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Author details

Liangxin Qian

Liangxin Qian

Affiliation

Publication Topics

Biography

Showing 1-9 of 9 results

Show

Post-Deployment Fine-Tunable Semantic Communication

Post-Deployment Fine-Tunable Semantic Communication

User Connection and Resource Allocation Optimization in Blockchain Empowered Metaverse Over 6G Wireless Communications

User Connection and Resource Allocation Optimization in Blockchain Empowered Metaverse Over 6G Wireless Communications

Fine-Tunable Semantic Communication for Image Transmission

Fine-Tunable Semantic Communication for Image Transmission

User Association and Resource Allocation in Large Language Model Based Mobile Edge Computing System over 6G Wireless Communications

User Association and Resource Allocation in Large Language Model Based Mobile Edge Computing System over 6G Wireless Communications

Counterfactual Reward Estimation for Credit Assignment in Multi-agent Deep Reinforcement Learning over Wireless Video Transmission

Counterfactual Reward Estimation for Credit Assignment in Multi-agent Deep Reinforcement Learning over Wireless Video Transmission

AMFL: Resource-Efficient Adaptive Metaverse-Based Federated Learning for the Human-Centric Augmented Reality Applications

AMFL: Resource-Efficient Adaptive Metaverse-Based Federated Learning for the Human-Centric Augmented Reality Applications

Human-Centric Resource Allocation in the Metaverse Over Wireless Communications

Human-Centric Resource Allocation in the Metaverse Over Wireless Communications

Proximal Policy Optimization-Based Anti-Jamming UAV-Assisted Data Collection

Proximal Policy Optimization-Based Anti-Jamming UAV-Assisted Data Collection

A Hybrid Framework of Reinforcement Learning and Convex Optimization for UAV-Based Autonomous Metaverse Data Collection

A Hybrid Framework of Reinforcement Learning and Convex Optimization for UAV-Based Autonomous Metaverse Data Collection

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