Qinghang Zhang
Papers
1
Total Citations
8
H-Index
1
About
Qinghang Zhang 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, reflecting early recognition of its impact. Zhang’s major contribution lies in designing flexible, digital CIM chips that overcome the limitations of traditional analog approaches—offering higher precision, scalability, and energy efficiency for deploying AI at the edge. This work addresses critical challenges in processing neural networks on resource-constrained devices, enabling real-time inference in applications like IoT and smart sensors. By advancing digital CIM technology, Zhang is paving the way for more robust and adaptable edge AI systems. Their research not only demonstrates technical innovation but also holds promise for practical deployment, making it a valuable reference for scholars and engineers working on next-generation hardware accelerators. With a growing citation footprint, Qinghang Zhang is establishing themselves as a key contributor to the future of intelligent, low-power computing.
Research Focus
Key Achievements
Top Papers
- 1A flexible digital compute-in-memory chip for edge intelligence8 citations · 2026