Liye Cheng

China Electronic Product Reliability and Environmental Test Institute

Papers

Total Citations

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About

Liye Cheng’s research focuses on micro-electromechanical systems (MEMS) digital sensors, with a particular emphasis on improving sensor resolution and dynamic range for applications in industrial automation, navigation, and positioning. His most cited work, the "Tri-Adaptive Method for Improving the Resolution of MEMS Digital Sensors" (2018), addresses a critical trade-off in sensor design: users often select lower measurement ranges to maximize resolution, but this increases the risk of out-of-range errors. Cheng’s tri-adaptive approach intelligently adjusts sensor parameters in real time, enabling high-resolution measurements without sacrificing range—a practical breakthrough for precision-dependent fields. With 11 citations, this paper has influenced subsequent research in adaptive sensor systems and signal processing. Cheng’s contributions are particularly valuable for engineers seeking to enhance the performance of low-cost MEMS devices in demanding environments. His work exemplifies how adaptive algorithms can bridge the gap between hardware limitations and application needs, making him a notable figure in the MEMS sensor community.