Yiquan Chen
Yiquan Chen is currently a PhD at HUB of Intelligent Neuro-Engineering (HUBIN)Division of Surgery and Interventional Science University College London (UCL). His project primarily focuses on applying artificial intelligenceparticularly reinforcement learning—to stroke rehabilitation, with the aim of improving user experience and rehabilitation outcomes. Prior to commencing his doctoral studies, he obtained master’s degree from the University of Bristol, as well as bachelor’s degrees from Xi’an Jiaotong-Liverpool University and the University of Liverpool.
Research Interests
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Meta-Reinforcement Learning for Personalized Brain–Computer Interface (BCI)
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User-Centric and Adaptive BCI Design for Heterogeneous Patient Populations
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AI Technologies for Neurorehabilitation
Publications
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Y. Chen, Y. Lyu, and D. Zhang, “DouRN: Improving DouZero by residual neural networks,” in Proc. 2023 Int. Conf. Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), Nov. 2023, pp. 96–99.