Yihan Fu
Papers
1
Total Citations
8
H-Index
1
About
Yihan Fu is a rising leader in the field of energy-efficient computing, with a primary focus on digital compute-in-memory (CIM) architectures for edge intelligence. 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. Fu’s major contribution lies in designing a flexible CIM chip that seamlessly integrates computation and memory, dramatically reducing data movement and power consumption—a critical advancement for deploying AI at the edge, where devices must operate under strict energy and latency constraints. This work addresses a fundamental bottleneck in modern computing, enabling smarter, more autonomous systems in IoT, wearables, and robotics. While still early in their career, Fu’s research demonstrates a clear trajectory toward practical, scalable solutions for intelligent edge devices. Their ability to bridge circuit design with system-level efficiency marks them as a promising innovator, poised to shape the next generation of low-power, high-performance computing for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1A flexible digital compute-in-memory chip for edge intelligence8 citations · 2026