Shuyi Wang

Papers

Total Citations

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About

Shuyi Wang is a rising researcher at the intersection of artificial intelligence and aerospace engineering, with a focus on intelligent fault diagnosis and spacecraft autonomy. Her most cited work, "An Improved DDPG and Its Application in Spacecraft Fault Knowledge Graph" (2023), introduces a novel approach to constructing performance-fault relationship graphs for spacecraft control systems. By enhancing the Deep Deterministic Policy Gradient (DDPG) algorithm, Wang enables space robots to rapidly locate and repair faults, significantly improving mission reliability. This work, with 5 citations, demonstrates her ability to bridge reinforcement learning with practical aerospace challenges. Wang’s contributions are particularly impactful for autonomous space operations, where real-time fault detection is critical. Her research advances the field of knowledge graph-based reasoning for complex systems, offering a scalable framework for spacecraft health management. As an early-career scholar, Wang’s innovative integration of DDPG with domain-specific knowledge graphs positions her as a promising voice in intelligent aerospace systems, with potential applications extending to satellite servicing and deep-space exploration.