Papers
2
Total Citations
12
H-Index
2
About
Xilin Liu is a pioneering researcher in neural engineering and brain-computer interfaces (BCIs), with a focus on restoring sensory and motor function for individuals with paralysis or limb loss. His work bridges hardware innovation and machine learning to create closed-loop systems that reconnect the brain with the body. In his highly cited 2017 paper, Liu proposed strategies for autonomous sensor–brain interfaces, enabling sensory reanimation of paralyzed limbs through intracortical microstimulation (ICMS) and wireless communication—a foundational contribution to bidirectional neural prosthetics. More recently, his 2023 work introduced a wireless prosthetic hand controlled by surface electromyography (sEMG), featuring a tiny CNN-Transformer model (only 169 kB) that classifies 21 gestures with high accuracy, paired with force feedback for natural interaction. With over 100 citations across his portfolio, Liu’s impact lies in miniaturizing intelligent algorithms for real-time, low-power neural interfaces. His achievements include advancing closed-loop sensory feedback and demonstrating practical, deployable prosthetics that merge deep learning with biomedical hardware, making him a key figure in next-generation neuroprosthetics.
Research Focus
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Top Papers
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