Yuanyuan Yue
Papers
1
Total Citations
1
H-Index
1
About
Yuanyuan Yue is a rising researcher in the field of distributed optimization and control, with a particular focus on time-varying systems and networked multi-agent dynamics. Her most notable contribution to date is the development of distributed finite-time convergent algorithms for solving time-varying optimization problems under coupled equality constraints, specifically designed for weight-unbalanced directed graphs—a challenging and practical scenario in modern networked systems. This work, published in 2025 and already garnering initial citations, addresses critical gaps in real-time decision-making for autonomous systems, such as robotic swarms and smart grids, where rapid convergence and robustness to asymmetric communication are essential. Yue’s research bridges theoretical rigor with applied relevance, offering scalable solutions that ensure finite-time convergence even in non-ideal network topologies. While her career is still in its early stages, this foundational paper signals her potential to influence the broader optimization and control community. Her work is particularly valuable for students and researchers interested in the intersection of distributed algorithms, time-varying constraints, and practical implementation challenges in complex networks.
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Top Papers
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