Dongyang Li

University of Electronic Science and Technology of China

Papers

Total Citations

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About

Dongyang Li is a rising leader in neuromorphic photonics and artificial visual systems, with a focus on developing bio-inspired hardware that mimics the human visual pathway. His most-cited work, the 2020 paper on "Color‐Recognizing Si‐Based Photonic Synapse for Artificial Visual System," has garnered 45 citations and addresses a critical challenge in neuromorphic engineering: creating synapses that can directly process and distinguish light signals. Li’s major contribution lies in designing silicon-based photonic synapses capable of color recognition, a key step toward building efficient, compact artificial visual systems that can operate without bulky external sensors. This work bridges the gap between photonic computing and neural networks, offering a pathway to low-power, high-speed visual processing for applications in robotics, autonomous systems, and smart sensing. By demonstrating how a single photonic device can integrate sensing and computation, Li has advanced the frontier of neuromorphic hardware, inspiring further research into multifunctional synaptic devices. His achievements highlight a promising trajectory for next-generation vision technologies that learn and adapt like the human eye.