Xiyuan Tang

Peking University, The University of Texas at Austin

Papers

Total Citations

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About

Xiyuan Tang is a rising star in the field of mixed-signal integrated circuit design, with a focused expertise in high-performance sensor interfaces and data converters. His research primarily targets the critical challenge of designing energy-efficient, high-resolution systems for emerging Internet of Things (IoT) applications. Tang’s major contributions lie in advancing capacitance-to-digital converters (CDCs), where he has pioneered techniques to overcome fundamental noise limits. Notably, his 2024 work on a "Zoom Capacitance-to-Digital Converter" achieved a remarkable 181.8dB FoM by introducing kT/C noise cancellation and dead band operation, setting a new benchmark for resolution and power efficiency. This innovation is crucial for applications like electronic capacitance tomography and robotics. In earlier work, Tang also addressed the growing demand for low-power sensing in healthcare and IoT by developing an energy-efficient flexible capacitive pressure sensing system, providing a comprehensive solution for large-scale sensor arrays. With his papers already garnering citations for their foundational impact, Xiyuan Tang is establishing himself as a key contributor to the next generation of ultra-low-power, high-precision sensor interfaces.