Publications

📖 Journal Articles

  • "ComLLM: Towards A General Large Language Model for Semantic-Aware Network Optimization", Wencan Mao, Quanxi Zhou, Yilei Liang, Yaxi Liu, Wei Huangfu, Manabu Tsukada, Jon Crowcroft, and Yusheng Ji, IEEE Network Magazine, DOI: 10.1109/MNET.2026.3716787.
  • "CLIFF: A Multi-Modal Remote Sensing Model for Geological Hazard Monitoring Based on Bitemporal UAV Images", Quanxi Zhou, Qianxiao Su, Xinran Wei, Wencan Mao, Yili Ren, Yunfei Chen, Jianzhong Bi, Mingjun Zhao, and Manabu Tsukada, Remote Sensing, DOI: 10.3390/rs18142432.
  • "Uncertainty-Aware Multi-Agent Reinforcement Learning for Anti-Interference Trajectory Planning of Cellular-Connected UAVs", Quanxi Zhou, Wencan Mao, Jin Nakazato, Yusheng Ji and Manabu Tsukada, IEEE Transactions on Vehicular Technology, DOI: 10.1109/TVT.2025.3606201.
  • "A Feature-Aware Elite-Imitation MARL for Multi-UAV Trajectory Optimization in Mountain Terrain Detection", Quanxi Zhou, Ye Tao, Qianxiao Su, Manabu Tsukada, Drones, DOI: 10.3390/drones9090645.
  • "Multi-Modal Trajectory Planning for Emergency-Oriented Air-Ground Collaborative Sensing and Communication", Yaxi Liu, Quanxi Zhou, Wencan Mao, Xulong Li, Wei Huangfu, Manabu Tsukada, Yusheng Ji, Keping Long, IEEE Transactions on Cognitive Communications and Networking, DOI: 10.1109/TCCN.2025.3585254.
  • "Cellular Connected UAV Anti-Interference Path Planning Based on PDS-DDPG and TOPEM", Quanxi Zhou, Yongjing Wang, Ruiyu Shen, Jin Nakazato, Manabu Tsukada, Zhenyu Guan, IEEE Journal on Miniaturization for Air and Space Systems, DOI: 10.1109/JMASS.2024.3490762.

    • 🎤 Conference Papers

    • "Joint Capacity Planning and Resource Allocation for UAV-Assisted Vehicular Fog Computing Using Deep Reinforcement Learning", Quanxi Zhou, Wencan Mao, Manabu Tsukada, Yu Xiao, IEEE International Conference on Future Machine Learning And Data Science (FMLDS).
    • "Deep Reinforcement Learning for Automated Guided Vehicle Trajectory Planning in Industry 4.0", Quanxi Zhou, Wencan Mao, Yu Xiao, Manabu Tsukada, Yusheng Ji, 2026 IEEE International Conference on Computer Communications (Infocom Workshop) Best Paper Runner-Up
    • "Trajectory Planning for UAV-Based Smart Farming Using Imitation-Based Triple Deep Q-Learning", Wencan Mao*, Quanxi Zhou*, Tomás Couso Coddou, Manabu Tsukada, Liu Yunling, Yusheng Ji, 2026 IEEE International Conference on Robotics & Automation (ICRA), pp. 1-6, DOI: 10.1109/INFOCOM59046.2026.11571634. Co-first Author
    • "Priority-Aware Flexible Actor-Critic for Task Scheduling of UAV-Assisted Edge Computing", Yunfei Chen, Quanxi Zhou, Wencan Mao, Ye Tao, Guanzhi Lyu, Manabu Tsukada, 2026 International Conference on Future and Intelligent Networking (FINE).
    • "NL2TL-Tree: Natural Language to Nested Temporal-Logic Trees for Robustness-Guided Flow-Matching Planning", Jiachen Gong, Wencan Mao, Ehsan Javanmardi, Yun Li, Quanxi Zhou, Manabu Tsukada, 2026 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2026 ACM International Symposium on Wearable Computers (UbiComp/ISWC '26), Poster
    • "Design of Anti-Interference Path Planning for Cellular-Connected UAVs Based on Improved DDPG", Quanxi Zhou, Yongjing Wang, 2024 10th IEEE International Conference on High Performance and Smart Computing (HPSC), pp. 71–76, IEEE, May 2024, DOI: 10.1109/HPSC62738.2024.00020.
    • "Design of Enterprise Reputation Evaluation Framework Based on Encrypted Decision Tree Algorithm", Quanxi Zhou, Ruiyu Shen, IOS Press, November 21, 2024, DOI: 10.3233/FAIA241133.

    📝 Preprints (arXiv)

    • "EIA-SEC: Improved Actor-Critic Framework for Multi-UAV Collaborative Control in Smart Agriculture", Quanxi Zhou, Wencan Mao, Yilei Liang, Manabu Tsukada, Yunling Liu, Jon Crowcroft.
    • "FM-EAC: Feature Model-based Enhanced Actor-Critic for Multi-Task Control in Dynamic Environments", Quanxi Zhou, Wencan Mao, Manabu Tsukada, John C.S. Lui, and Yusheng Ji.
    • "Trajectory Planning for UAV-Based Smart Farming Using Imitation-Based Triple Deep Q-Learning", Wencan Mao, Quanxi Zhou, Tomás Couso Coddou, Manabu Tsukada, Yunling Liu, Yusheng Ji. Co-first Author

    🚧 Ongoing Works

    • "Decoupling Where-to-Fly from When-to-Upload: Quality- and AoI-Aware Multi-UAV Spatio-Temporal Crowdsourcing", Quanxi Zhou, Wencan Mao, Yunfei Chen, Junru Li, Jiachen Gong, and Manabu Tsukada, IEEE Transactions on Cognitive Communications and Networking (TCCN). Under Review
    • "Feature-Driven Multi-Agent Reinforcement Learning for UAV Trajectory Planning and Resource Allocation in Dynamic Environments", Quanxi Zhou, Wencan Mao, Yilei Liang, Yixuan Liu, Manabu Tsukada, Jon Crowcroft, John C.S. Lui, and Yusheng Ji, IEEE Transactions on Mobile Computing. Under Review
    • "Privacy-Preserving UAV-Assisted Secure Wireless Communication and Computing System Based on Full Homomorphic Encryption", Quanxi Zhou, Wencan Mao, Ye Tao, Manabu Tsukada, Kensuke Fukuda, and Yusheng Ji, IEEE GLOBECOM. Under Review
    • "Environment-Aware Multi-UAV Trajectory Planning for Connected Agricultural IoT Systems Using Feature-Driven Reinforcement Learning", Quanxi Zhou, Wencan Mao, Byungjin Cho, Ye Tao, Manabu Tsukada, IEEE Transactions on Vehicular Technology. Under Review
    • "Energy Harvesting UAV-Enabled Mobile Edge Computing with Sustainable Wireless Power Transfer Scheme", Jue Wang, Quanxi Zhou, Wencan Mao, Yaxi Liu, Xulong Li, Boxin He, Manabu Tsukada, Wei Huangfu, Keping Long, IEEE Transaction on Sustainable Computing. Major Revision
    • "Automated Guided Vehicle-Enabled Industry 4.0: A Deep Reinforcement Learning Approach", Quanxi Zhou, Wencan Mao, Manabu Tsukada, Yusheng Ji, IEEE Transactions on Industrial Informatics. In Preparation
    • "Capacity Is Not Utility: A Compact World-Action Model for Budgeted LiDAR Allocation", JIACHEN GONG, Yun Li, Ehsan Javanmardi, Wencan Mao, Quanxi Zhou, Yunfei Chen, and Manabu Tsukada Conference Submission . Under Review