Shaojun Wei
Papers
2
Total Citations
13
H-Index
2
About
Dr. Shaojun Wei is a leading researcher at the frontier of energy-efficient computing architectures, with a primary focus on **computation-in-memory (CIM)** and **stereo vision processing**. His most significant contributions center on revolutionizing **cost-volume construction**, a fundamental and computationally intensive kernel essential for depth perception in robotics, autonomous vehicles, and AR/VR systems. Dr. Wei pioneered the **CV-CIM** architecture, a novel hybrid-domain design that leverages XOR-derived similarity-aware computation directly within memory arrays. This breakthrough dramatically reduces the massive data movement and energy consumption traditionally required for processing large parameter sets in real-time stereo matching. His seminal 2023 paper on the "7.7 CV-CIM" (10 citations) demonstrated a 28nm implementation that achieves exceptional efficiency for this critical workload. By tackling the bottleneck of consecutive data accesses in stereo vision, Dr. Wei’s work directly enables more responsive and power-savvy autonomous systems. His ongoing research, detailed in a 2024 follow-up (3 citations), continues to refine this paradigm, positioning him as a key innovator in bridging the gap between advanced algorithms and practical, hardware-efficient deep learning accelerators.
Research Focus
Key Achievements
Top Papers
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- 2