I am an undergraduate student in Computer Science and Technology at Wuhan University of Technology. My research interest includes maritime big data mining, maritime cybersecurity and reliability engineering. I employ interdisciplinary approaches to address key challenges in autonomous shipping systems.

My ultimate goal is to develop robust technological solutions for next-generation intelligent and reliable autonomous shipping systems, contributing to a safer and smarter marine ecosystem. πŸ€—

πŸ”₯ News

  • 2025.07: πŸŽ‰ A paper is accepted by Transportation Research Part E: Logistics and Transportation Review

πŸ“ Publications

Transportation Research Part E
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Uncertainty-aware ship trajectory prediction via Spatio-Temporal Graph Transformer
Jincheng Gong, Huanhuan Li, Hang Jiao, Zaili Yang

Project | STGTP

  • Introduced a novel ship trajectory prediction benchmark for Maritime Autonomous Surface Ships (MASS).
  • Developed an advanced trajectory prediction algorithm that integrates spatio-temporal and probabilistic modelling.
  • Pioneered an uncertainty-aware feature modelling approach to improve prediction reliability and interpretability.
  • Validated the model’s performance across three benchmark datasets using three key evaluation metrics.

πŸ“– Educations

  • 2022.09 - 2026.06, Undergraduate, Wuhan University of Technology, Wuhan.