Ziqi He
Papers
1
Total Citations
8
H-Index
1
About
Ziqi He is a rising innovator in the field of edge computing and hardware-software co-design, with a particular focus on energy-efficient digital compute-in-memory (CIM) architectures. His most-cited work, "A flexible digital compute-in-memory chip for edge intelligence" (2026), has already garnered 8 citations, reflecting its timely impact on the push toward low-power, high-performance AI at the network edge. He’s known for pioneering flexible CIM designs that break traditional memory-computation bottlenecks, enabling real-time inference on resource-constrained devices. His contributions are critical for advancing edge intelligence—from smart sensors to autonomous systems—where latency and energy efficiency are paramount. Beyond this flagship paper, He’s recognized for integrating digital logic with memory arrays to achieve both versatility and scalability, a challenge that has stymied many in the field. His work not only demonstrates a deep understanding of circuit-level innovation but also addresses pressing industry needs for sustainable AI. As a researcher, He stands at the forefront of a paradigm shift, where intelligence moves from the cloud to the edge, and his early citation record signals a promising trajectory in shaping the future of embedded machine learning.
Research Focus
Key Achievements
Top Papers
- 1A flexible digital compute-in-memory chip for edge intelligence8 citations · 2026