杨轹文Liwen Yang
Ph.D. Candidate · Beihang University
Researching space debris collision dynamics, autonomous warning and avoidance systems, and sustainable space environment governance — for the future of orbital safety.
Research Directions
Exploring the frontiers of space debris science and orbital environment protection
Multi-Stage Space Debris Collision
空间碎片多级碰撞动力学
Investigating multi-stage collision chain reaction mechanisms of space debris in LEO, establishing kinetic models of...
Space Collision Warning and Avoidance
自主预警与规避系统
Developing machine learning-based space debris collision warning systems, enabling multi-stage autonomous avoidance...
Space Debris Environment Governance
可持续空间环境治理
Exploring sustainable governance strategies for the space debris environment, including active debris removal...
Publications
Research on space debris collision warning and autonomous avoidance
Learning-based framework for multistage space debris collision warning and avoidance
Liwen Yang, Jikai Wang, Ming Xu, Xue Bai
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。Proposes a learning-based framework for multi-stage space debris collision warning and avoidance, integrating orbit…
Low-orbit Space Debris Warning and Autonomous Collision Avoidance for Space Environment Governance
Liwen Yang, Jikai Wang, Jun Jiang, Xue Bai, Ming Xu
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。Addressing the need for LEO space debris environment governance, this work proposes debris warning and autonomous…
STAN: A Spatio-Temporal Attention Network for Space Debris Multistage Collision Avoidance
Liwen Yang, Jikai Wang, Ming Xu, Xue Bai
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。Proposes STAN — a Spatio-Temporal Attention Network for space debris multi-stage collision avoidance, capturing…