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Liyuan Deng's Homepage

Liyuan Deng (邓立原)
Ph.D. Student
Department of Control Science and Engineering, Tongji University, Shanghai, China
Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China
Address: VA324-2, Shaw Amenities Building, 11 Yuk Choi Road, Hung Hom, KLN, Hong Kong
Email: dengliyuan99@tongji.edu.cn

Biography

Liyuan Deng received the B.S. degree in Automation and the M.S. degree in Control Science and Engineering (supervised by Prof. Li Li) from Tongji University, Shanghai, China, in 2021 and 2024, respectively. He is currently pursuing the Ph.D. degree in Control Science and Engineering at the Department of Control Science and Engineering, Tongji University supervised by Prof. Jie Chen, and the Dual Ph.D. degree at the Department of Computing, The Hong Kong Polytechnic University supervised by Prof. Jiannong Cao. His research interests include multi-agent systems, mobile computing, and deep reinforcement learning.

Education

Publications

Papers

  1. L. Deng, W. Gong, M. Liwang, L. Li, B. Zhang, and C. Li, “Towards intelligent mobile crowdsensing with task state information sharing over edge-assisted UAV networks,” IEEE Transactions on Vehicular Technology, vol. 73, no. 8, pp. 11773–11788, Aug. 2024, doi: 10.1109/TVT.2024.3369089.
  2. L. Deng, W. Gong, and L. Li, “Multi-robot exploration in unknown environments via multi-agent deep reinforcement learning,” in Proc. 2022 China Automation Congress (CAC), Xiamen, China, 2022, pp. 6898–6902, doi: 10.1109/CAC57257.2022.10055585.
  3. S. Lou, C. Wang, W. Gong, L. Deng, and L. Li, “Collaborative regional information collection strategy based on MLAT-DRL algorithm,” Acta Armamentarii, vol. 45, no. 12, pp. 4423–4434, Dec. 2024, doi: 10.12382/bgxb.2023.1081. (in Chinese)
  4. W. Gong, S. Lou, L. Deng, P. Yi, and Y. Hong, “Efficient multi-target localization using dynamic UAV clusters,” Sensors, vol. 25, no. 9, Art. no. 2857, Apr. 2025, doi: 10.3390/s25092857.

Patents

  1. W. Gong, L. Deng, L. Li, Q. Yu, and M. Liwang. Multi-UAV dynamic task allocation method based on edge system and age of data stream, ZL202510040851.7. (Granted, Nov. 7, 2025) [Document]
  2. W. Gong, L. Deng, P. Yi, and Y. Hong. High-speed aircraft clustering method and device oriented to collaborative localization, ZL202411197800.7. (Granted, Sep. 23, 2025) [Document]
  3. W. Gong, L. Deng, S. Lou, L. Li, and M. Liwang. Multi-UAV data collection task planning method and device considering communication interruption, CN202510216265.3. (Published)
  4. W. Gong, L. Deng, L. Li, M. Liwang, X. Li, and M. Meng. Sustainable task planning method for multi-UAVs with communication constraints guided by edge systems, CN202510324331.9. (Published)
  5. L. Li, L. Deng, F. Chen, W. Gong, and M. Liwang. A multi-robot collaborative area exploration intelligent decision-making method and device, CN202411196040.8. (Published)
  6. L. Li, L. Deng, W. Gong, J. Xu, and M. Liwang. Ice crack detection method and device based on camera and LiDAR, CN202411412261.4. (Published)
  7. W. Gong, L. Deng, L. Li, F. Chen, and S. Liang. Unmanned aerial vehicle task allocation method based on edge system and reinforcement learning, CN202311697752.3. (Published)

Research Projects

  1. 2025.6–2026.5, Dynamic data collection task planning for UAV networks assisted by edge systems, Shanghai “Intelligent Science and Technology” Category IV Peak Discipline “Interdisciplinary Innovation Science-Education Integration Fund”, Ongoing, Project Leader

Experiences and Services

Teaching Assistant

On-Campus Employment

© Liyuan Deng // Last updated: 8 NOV 2025