253 citations · 437 across the 17 of their papers we have counts for
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cs.AI2026
Task-Driven Three-Layer Distributed Scheduling for Emergency Earth Observation in Large Low-Earth-Orbit Constellations
Qian Yin, Xinwei Wang, Guohua Wu
Large low-Earth-orbit (LEO) Earth-observation (EO) constellations offer frequent access to geographically dispersed ground targets, but emergency requests may arrive after committe…
cs.AI2021★ 6 cited
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems
Yongming He, Guohua Wu, Yingwu Chen +1
There hardly exists a general solver that is efficient for scheduling problems due to their diversity and complexity. In this study, we develop a two-stage framework, in which rein…
cs.AI2014★ 17 cited
An adaptive Simulated Annealing-based satellite observation scheduling method combined with a dynamic task clustering strategy
Guohua Wu, Huilin Wang, Haifeng Li +4
Efficient scheduling is of great significance to rationally make use of scarce satellite resources. Task clustering has been demonstrated to realize an effective strategy to improv…