Publications

Journal Papers

• User Connection and Resource Allocation Optimization in Blockchain Empowered Metaverse over 6G Wireless Communications,
  Liangxin Qian, Chang Liu, and Jun Zhao.
  In IEEE Transactions on Wireless Communications (TWC), 2025.
• Distributed Learning for Wireless Communications: Methods, Applications and Challenges,
  Liangxin Qian, Ping Yang, Ming Xiao, Octavia A. Dobre, Marco Di Renzo, Jun Li, Zhu Han, Qin Yi, and Jiarong Zhao.
  In IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2022.
• Multi-Dimensional Polarized Modulation for Land Mobile Satellite Communications,
  Liangxin Qian, Ping Yang, Yong Liang Guan, Zilong Liu, Yue Xiao, Ke Jiang, and Ming Xiao.
  In IEEE Transactions on Cognitive Communications and Networking (TCCN), 2021.
• Post-Deployment Fine-Tunable Semantic Communication,
  Peiyuan Si, Renyang Liu, Liangxin Qian, Jun Zhao, and Kwok-Yan Lam.
  In IEEE Transactions on Wireless Communications (TWC), 2025.
• Human-Centric Resource Allocation in the Metaverse over Wireless Communications,
  Jun Zhao, Liangxin Qian, and Wenhan Yu.
  In IEEE Journal on Selected Areas in Communications (JSAC), 2024.
• AMFL: Resource-Efficient Adaptive Metaverse-Based Federated Learning for the Human-Centric Augmented Reality Applications,
  Dewen Qiao, Liangxin Qian, Songtao Guo, and Jun Zhao.
  In IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.

• QuHE: Optimizing Utility-Cost in Quantum Key Distribution and Homomorphic Encryption Enabled Secure Edge Computing Networks,
  Liangxin Qian, Yang Li, and Jun Zhao.
  In IEEE ICDCS, 2025.
• Utility-Cost Ratio Maximization in Quantum Networks for Secure Quantum Key Distribution,
  Liangxin Qian and Jun Zhao.
  In IEEE International Conference on Quantum Communications, Networking, and Computing (QCNC), 2025.
• Quantum Networks in 6G Communications: Technologies, Challenges, and Applications,
  Liangxin Qian and Jun Zhao.
  In IEEE International Conference on Quantum Communications, Networking, and Computing (QCNC), 2025.
• Data Processing Efficiency Aware User Association and Resource Allocation in Blockchain-Enabled Metaverse over Wireless Communications,
  Liangxin Qian and Jun Zhao.
  In ACM MobiHoc, 2024.
• User Association and Resource Allocation in Large Language Model Based Mobile Edge Computing System over 6G Wireless Communications,
  Liangxin Qian and Jun Zhao.
  In IEEE 99th Vehicular Technology Conference (VTC-2024 Spring), 2024.
• Self-Evolving Wireless Communications: A Novel Intelligence Trend for 6G and Beyond,
  Liangxin Qian, Ping Yang, Gang Wu, Wanbin Tang, and Ze Chen.
  In International Conference on Future Communications and Networks (FCN) Workshop, 2024.
• Counterfactual Reward Estimation for Credit Assignment in Multi-Agent Deep Rein-Forcement Learning over Wireless Video Transmission,
  Wenhan Yu, Liangxin Qian, Terence Chua, and Jun Zhao.
  In IEEE 44th International Conference on Distributed Computing Systems (ICDCS), 2024.
• Fine-Tunable Semantic Communication for Image Transmission,
  Peiyuan Si, Renyang Liu, Liangxin Qian, Jun Zhao, and Kwok-Yan Lam.
  In 10th International Conference on Big Data Computing and Communications (BigCom, Best Student Paper), 2024.
• Optimizing Utility-Energy Efficiency for the Metaverse over Wireless Networks under Physical Layer Security,
  Jun Zhao, Xinyu Zhou, Yang Li, and Liangxin Qian.
  In ACM MobiHoc, 2023.
• Proximal Policy Optimization-Based Anti-Jamming UAV-Assisted Data Collection,
  Ze Chen, Ping Yang, Yue Xiao, and Liangxin Qian.
  In IEEE Global Communications Conference (GLOBECOM), 2023

• A Hybrid Framework of Reinforcement Learning and Convex Optimization for UAV-Based Autonomous Metaverse Data Collection,
  Peiyuan Si, Liangxin Qian, Jun Zhao, and Kwok-Yan Lam.
  In IEEE Network, 2023.

• Enhancing Data Processing Efficiency in Blockchain Enabled Metaverse over Wireless Communications,
  Liangxin Qian and Jun Zhao.
• Applications of Inequalities to Optimization in Communication Networking: Novel Decoupling Techniques and Bounds for Multiplicative Terms Through Successive Convex Approximation,
  Liangxin Qian, Wenhan Yu, Peiyuan Si, and Jun Zhao.
• Parameter Training Efficiency Aware Resource Allocation for AIGC in 6G Space-Air-Ground Integrated Networks,
  Liangxin Qian and Jun Zhao.
• A Survey on Private Transformer Inference,
  Yang Li, Xinyu Zhou, Yitong Wang, Liangxin Qian, and Jun Zhao.
• Joint Optimization in Heterogeneous STIN Mobile Edge Computing Systems,
  Tianming Lan, Liangxin Qian, Xinyu Zhou, and Jun Zhao.
• Transforms for Multiplicative and Fractional Programming with Broad Applications in Edge Computing and Communication Networks,
  Yitong Wang, Jun Zhao, Liangxin Qian, and Chang Liu.