Minlan Yu

Papers

Total Citations

H-Index

About

Minlan Yu is a prominent computer systems researcher whose work spans network systems, data center networking, and distributed systems. Her research has significantly advanced how large-scale networks are designed, managed, and optimized, with particular focus on software-defined networking, network measurement, and cloud computing infrastructure. Yu's contributions have shaped modern data center architectures and network management frameworks, addressing critical challenges in traffic engineering, network virtualization, and system performance at scale. Her work bridges theoretical foundations with practical implementations, making her research highly relevant to both academic and industry audiences building next-generation networked systems. Based on her publication record, Yu has demonstrated an ability to tackle emerging challenges at the intersection of networking and systems, including recent explorations into autonomous systems infrastructure, as evidenced by her work on accelerating 3D occupancy mapping through novel caching mechanisms like OctoCache. This reflects her broader interest in systems optimization across diverse application domains. Yu's research profile reflects a researcher committed to solving real-world infrastructure challenges, and her work has influenced practitioners and academics building the distributed systems and networking technologies that underpin modern computing. Students interested in cloud networking, systems optimization, or autonomous systems infrastructure will find her contributions particularly foundational.