Liang Zhao

Liang Zhao

Research Fellow in Zhejiang University

Publications

*: Corresponding author; #: Contributed equally

Journal Articles (Peer-reviewed)

  1. Zhao, L., Xu, M., Liu, L., Bai, Y., Zhang, M., Yan, R., 2025. Intelligent Shipping: Integrating Autonomous Maneuvering and Maritime Knowledge in the Singapore-Rotterdam Corridor. Communications Engineering, 4, p.123. (Nature Portfolio)
  2. Zhao, L., Bai, Y*., 2024. Joint-optimized coverage path planning framework for USV-assisted offshore bathymetric mapping: From theory to practice. Knowledge-Based Systems, 294, p.116921.
  3. Zhao, L., Wang, F., Zhang, M., Bai, Y., 2025. Efficient Rescues at Sea: A Hierarchical Framework of Time-sensitive Rescue Scheduling and Motion Planning for Unmanned Surface Vehicles. IEEE Transactions on Intelligent Vehicles. 1-15. [Early access]
  4. Zhao, L., Bai, Y*., 2024. Energy efficient coverage planning for USV-assisted inland bathymetry under current effects: An analysis on sweep direction. Ocean Engineering, 305, p.117910.
  5. Zhao, L., Bai, Y*., Paik, JK., 2024. Optimal coverage path planning for USV-assisted coastal bathymetric survey: Models, solutions, and lake trials. Ocean Engineering, 294, p.116921.
  6. Zhao, L., Bai, Y., 2023. Data harvesting in uncharted waters: Interactive learning empowered path planning for USV-assisted maritime data collection under fully unknown environments. Ocean Engineering, 287, p.115781.
  7. Zhao, L., Bai, Y*., Paik, JK., 2023. Global-local hierarchical path planning scheme for unmanned surface vehicles under dynamically unforeseen environments. Ocean Engineering, 280, p.114750.
  8. Zhao, L., Bai, Y*., Paik, JK., 2023. Achieving optimal-dynamic path planning for unmanned surface vehicles: a rational multi-objective approach and a sensory-vector re-planner. Ocean Engineering, 285, p.115433.
  9. Zhao, L., Bai, Y *., Paik, JK., 2025. Global path planning and waypoint following for heterogeneous unmanned surface vehicles assisting inland water monitoring. Journal of Ocean Engineering and Science, 10 (1), 88-108.
  10. Zhao, L., Bai, Y*., 2024. Unlocking the Ocean 6G: A Review of Path-Planning Techniques for Maritime Data Harvesting Assisted by Autonomous Marine Vehicles. Journal of Marine Science and Engineering, 12(1), p.126. (SCI-Q1, IF=2.9, ESI Highly Cited Paper, Editor’s Choice Paper)
  11. Zhao, L., Wang, F., Bai, Y., 2022. Route planning for autonomous vessels based on improved artificial fish swarm algorithm. Ships and Offshore Structures 18, 897–906.
  12. Wang, F., Zhao, L., 2023. Coordinated Trajectory Planning for Multiple Autonomous Underwater Vehicles: A Parallel Grey Wolf Optimizer. Journal of Marine Science and Engineering 11, 1720.
  13. Wang, F., Bai, Y., Zhao, L., 2023. Physical Consistent Path Planning for Unmanned Surface Vehicles under Complex Marine Environment. Journal of Marine Science and Engineering 11(6), p.1164.
  14. Wang, F., Bai, Y*., Bai, J., Zhao, L., 2022. Deep reinforcement learning in dynamic positioning control: by rewarding small response of riser angles. Ships and Offshore Structures 1–8.

Conferences

  1. Zhao, L., Bai, Y., Paik, J.K., 2023. Data harvesting in uncharted waters: Interactive learning empowered path planning for USV-assisted maritime data collection under fully unknown environments. 2023 AI Ocean Technology Conference for PhD Students, Zhoushan, China. (Poster presentation)
  2. Zhao, L., Mao, R., Bai, Y., 2022. Local Path Planning for Unmanned Surface Vehicles based on Hybrid A* and B-spline, in: 2022 IEEE International Conference on Unmanned Systems (ICUS), Guangzhou, China. (Oral presentation)
  3. Zhao, L., Mao, R., Bai, Y., 2022. Observer Design for GNSS-aided Position Estimation of Autonomous Surface Vessels, in: 2022 IEEE International Conference on Unmanned Systems (ICUS), Guangzhou, China. (Poster presentation)