Anzhi Yan
Papers
1
Total Citations
8
H-Index
1
About
Anzhi Yan is a rising researcher in the field of edge intelligence and energy-efficient computing, with a focus on digital compute-in-memory (CIM) architectures. Their most-cited work, "A flexible digital compute-in-memory chip for edge intelligence" (2026), has already garnered 8 citations, signaling early impact in a rapidly evolving domain. Yan’s key contributions lie in designing flexible, digital CIM chips that enable efficient on-device processing for edge applications, bridging the gap between high-performance computing and low-power constraints. This work addresses critical challenges in deploying artificial intelligence on resource-limited devices, such as IoT sensors and wearable technology. By advancing digital CIM designs, Yan enhances computational flexibility and scalability, reducing the energy and latency bottlenecks typical of traditional architectures. Their research holds promise for real-time, privacy-preserving AI at the edge, positioning them as a notable contributor to next-generation hardware solutions. Yan’s achievements reflect a deep commitment to practical, impactful innovations that push the boundaries of efficient computing.
Research Focus
Key Achievements
Top Papers
- 1A flexible digital compute-in-memory chip for edge intelligence8 citations · 2026