Siyu Zhan

University of Electronic Science and Technology of China

Papers

Total Citations

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About

Siyu Zhan is making a mark at the intersection of edge computing and resource optimization, with a focus on enhancing Quality of Experience (QoE) in Multi-access Edge Computing (MEC) environments. Their most cited work, "Computation Offloading in Resource-Constrained Multi-Access Edge Computing" (2024, 23 citations), tackles the critical challenge of coordinating terminal devices to offload tasks efficiently to edge servers—a key bottleneck in latency-sensitive applications. By proposing novel offloading strategies, Zhan’s research directly improves system performance and user satisfaction in resource-constrained settings. Though early in their career, this work has already garnered attention for addressing real-world constraints in MEC, where device coordination often limits overall gains. Zhan’s contributions are particularly relevant for students and researchers exploring edge intelligence, IoT, and distributed systems, offering practical solutions for balancing computational loads. As the field races toward 5G and beyond, Zhan’s focus on QoE-driven offloading positions them as a rising voice in making edge computing more responsive and scalable.