XU HONGKAI

Ph.D., Assistant Researcher

Email: Kairs.Xu@barcoverse.com

 

Personal Profile:

In 2012, obtained a Bachelor's degree in Applied Psychology from Beijing Union University. In 2017, obtained a Master's degree in Basic Psychology from Beijing Language and Culture University. In 2022, obtained a Ph.D. in Linguistics and Applied Linguistics from Beijing Language and Culture University. In 2023, served as an Assistant Researcher at both Barco Technology Co., Ltd. (a subsidiary of BoardWare Intelligence Technology Limited (01204.HK)) and the Joint Laboratory of BrainVerse Digitalization, Guangdong Institute of Intelligence Science and Technology, conducting research in the field of brain-machine interfaces and focusing on translating research outcomes into consumer products for the brain-machine metaverse. Currently involved in multiple projects funded by the Macao Science and Technology Development Fund (FDCT).

 

Research Directions:

Mainly studies the cognitive neural mechanisms related to language, focusing on innovations in brain-machine interface paradigms and algorithms. Utilizes ERP and fMRI technologies to investigate brain plasticity in visually impaired populations, phonetic categorization perception in native and second languages (MMN and P3b components), the neural mechanisms of Chinese character processing in native speakers and second language learners (character N170 component), and the influencing factors of Chinese chunk processing. Explores the effects of different variables in SSVEP, c-VEP, and auditory brain-machine interface paradigms, elucidating the underlying neural mechanisms of various novel brain-machine interface paradigms, and developing paradigms and algorithms based on non-invasive wearable brain-machine interface systems.

 

Representative Publications:

1. Xi, J., Xu, H., Zhu, Y., Zhang, L., Shu, H., & Zhang, Y. (2021). Categorical Perception of Chinese Lexical Tones by Late Second Language Learners with High Proficiency: Behavioral and Electrophysiological Measures. Journal of Speech, Language, and Hearing Research, 65(5), 1-10.

2. Zhou, W., Pang, W., Zhang, L., Xu, H., Li, P., & Shu, H. (2020). Altered connectivity of the visual word form area in the low-vision population: A resting-state fMRI study. Neuropsychologia, 137(6), 107302.

3. Xu, H., Pang, W., Xie, S., & Zhang, L. (2020). Impact of Short-term Phonetic Training on Second Language Phonemic Perception: A Behavioral and Electrophysiological Study. Experimental Linguistics, 9(2), 25-34.

4. Pang, R., Sang, H., Yi, L., Gao, C., Xu, H., Wei, Y., ... & Sun, J. (2024). Working memory load recognition with deep learning time series classification. Biomedical Optics Express, 15(5), 2780-2797.


Joint Lab of Brain-Verse Digital Convergence