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Chenchen Xie is a leading figure in China’s emerging neuromorphic computing landscape, with research centered on brain-inspired hardware, energy-efficient device architectures, and next-generation computing systems. Xie’s major contribution lies in advancing the understanding and development of neuromorphic devices that break free from the limitations of traditional von Neumann architectures, where separated processing and memory units create a data throughput bottleneck. By spearheading the comprehensive "2022 roadmap on neuromorphic devices and applications research in China," Xie provided a strategic vision that has already garnered 13 citations, guiding researchers toward more energy-efficient, biologically plausible computing solutions. This roadmap not only synthesizes current progress but also identifies critical challenges and future directions, making it an essential reference for students and scholars entering the field. Xie’s work is pivotal in addressing the growing demand for low-power, high-performance computing, positioning them as a key contributor to China’s push for technological self-reliance in advanced electronics. Their efforts continue to inspire a new generation of researchers exploring the intersection of materials science, device physics, and artificial intelligence.