Shouyi Yin
Papers
2
Total Citations
13
H-Index
2
About
Shouyi Yin is a leading researcher in energy-efficient hardware design for computer vision and artificial intelligence, with a particular focus on computation-in-memory (CIM) architectures. His major contributions center on cost-volume construction—a critical kernel for stereo vision processing that computes pixel similarities between paired images—which has direct applications in robotics, autonomous driving, 3D reconstruction, and AR/VR technologies. Yin pioneered the development of CV-CIM, a novel XOR-derived similarity-aware computation-in-memory system fabricated in 28nm technology that addresses the significant challenges of large parameter sizes and continuous data accesses inherent in stereo vision workloads. His most cited work, "7.7 CV-CIM" (2023), has garnered 10 citations, while his subsequent refinement "CV-CIM" (2024) continues to advance this domain. By fundamentally rethinking how similarity computations are performed at the hardware level, Yin's research bridges the gap between algorithmic demands and energy-efficient implementation, offering transformative solutions for real-time, low-power vision systems in autonomous platforms and immersive technologies.
Research Focus
Key Achievements
Top Papers
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- 2