Publications
Peer-reviewed papers in space debris research and collision avoidance
Published Papers
Learning-based framework for multistage space debris collision warning and avoidance
Liwen Yang, Jikai Wang, Ming Xu, Xue Bai
Proposes a learning-based framework for multi-stage space debris collision warning and avoidance, integrating orbit prediction, collision risk assessment, and optimal avoidance strategies.
提出一种基于学习的多阶段空间碎片碰撞预警与规避框架，整合了轨道预测、碰撞风险评估和最优规避策略。
@article{yang2026learning,
title={Learning-based framework for multistage space debris collision warning and avoidance},
author = {Yang, Liwen and Wang, Jikai and Xu, Ming and Bai, Xue},
journal={Aerospace Science and Technology},
pages={112305},
year={2026},
publisher={Elsevier}
}
Low-orbit Space Debris Warning and Autonomous Collision Avoidance for Space Environment Governance
Liwen Yang, Jikai Wang, Jun Jiang, Xue Bai, Ming Xu
Addressing the need for LEO space debris environment governance, this work proposes debris warning and autonomous collision avoidance methods, providing technical support for sustainable space environment utilization.
针对低轨空间碎片环境治理需求，提出碎片预警与自主碰撞规避方法，为空间环境可持续利用提供技术支撑。
@inproceedings{yang2025low,
title={Low-orbit Space Debris Warning and Autonomous Collision Avoidance for Space Environment Governance},
author = {Yang, Liwen and Wang, Jikai and Jiang, Jun and Bai, Xue and Xu, Ming},
booktitle={Journal of Physics: Conference Series},
volume={3015},
number={1},
pages={012005},
year={2025},
organization={IOP Publishing}
}
STAN: A Spatio-Temporal Attention Network for Space Debris Multistage Collision Avoidance
Liwen Yang, Jikai Wang, Ming Xu, Xue Bai
Proposes STAN — a Spatio-Temporal Attention Network for space debris multi-stage collision avoidance, capturing spatio-temporal dependencies in debris motion to improve prediction accuracy.
提出 STAN——一种时空注意力网络，用于空间碎片多阶段碰撞规避，通过捕捉碎片运动的时空依赖关系提升预测精度。
@article{yang2026stan,
title={STAN: A Spatio-Temporal Attention Network for Space Debris Multistage Collision Avoidance},
author = {Yang, Liwen and Wang, Jikai and Xu, Ming and Bai, Xue},
year={2026},
note={Submitted to ICLR 2026}
}