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Jiayu Liu's CV

Yunnie Liu (she/her)

Education & Research Proficiencies

  • 2019.09—2022.07 | Institute of Psychology, Chinese Academy of Sciences:

    I specialized in Cognitive Psychology under Prof. Xingshan Li at the Reading and Visual Cognition Lab, IPCAS. With an impeccable GPA of 3.62/4, I harnessed rigorous training in experimental tools for text and speech processing and techniques like eye-tracking methodologies., making me proficient in designing experiments involving audio-visual modalities and analyzing data.

    My dissertation, titled "Cross-Modal Transfer of Word Knowledge from Auditory Modality to Visual Modality", is a testament to my capability in designing, executing, and interpreting complex experiments.

  • 2014.09—2018.07 | Guilin University of Electronic Technology:

    Besides the foundational courses, my bachelor's phase emphasized hands-on projects, enhancing my technical agility. I took a keen interest in Information System Analysis and algorithmic strategies, which paved the way for my future experimental endeavors.

Research Experiences & Experimental Mastery

  • 2023—Present | Academy of Advanced Interdisciplinary Studies, Peking University:

    As a lead experimenter, my role isn't just pivotal in guiding the initiative but also hands-on with practical challenges. I am deeply involved in executing protocols involving advanced neuroimaging tools like fMRI and EEG, especially tailored for cognitive behavioral tasks in children.

  • 2020—2022 | Institute of Psychology, Chinese Academy of Sciences:

    I led a series of cross-modal studies, where my hands-on approach saw me using tools like E-prime, ExperimentBuilder, and PsychoPy. My analytic mindset complemented these skills, as I derived intricate insights using linear mixed models in R.

  • 2017-2018 | Guilin University of Electronic Technology:

    My tech-savvy nature came to the forefront as I developed algorithm-driven projects like the "Book Lending Management System" and played a critical role in the "Intelligent Robot Companion Box", integrating advanced algorithms with human-robot interactive modules.

Publications

My experimental skills reflect in my contributions to various research papers:

  • Liu, J., Gu, J., Feng, C., Shi, W., Biemann, C., & Li, X. (2023). Cross-Modal Impact of Recent Word Encountering Experience. Scientific Studies of Reading.
  • Liu, J., Biemann, C., & Li, X. (in preparation). Cross-Modal Impact of Recent Word Encountering Experience in Sentence Reading.
  • Gu, J., Zhou, J., Bao, Y., Liu, J., Perea, M., & Li, X. (2022). The effect of transposed-character distance in Chinese reading. Journal of experimental psychology. Learning, memory, and cognition, 10.1037/xlm0001180.
  • Zhang, G., Yao, P., Ma, G., Wang, J., Zhou, J., Huang, L., Xu, P., Chen, L., Chen, S., Gu, J., Wei, W., Cheng, X., Hua, H., Liu, P., Lou, Y., Shen, W., Bao, Y., Liu, J., Lin, N., & Li, X. (2022). The database of eye-movement measures on words in Chinese reading. Scientific Data, 9(1), 411. doi:10.1038/s41597-022-01464-6.

Skills & Advanced Proficiencies

  • Neuroimaging: Proficient in fMRI and EEG methodologies tailored for diverse research scenarios.
  • Experimental Software: Mastery over tools such as E-prime, ExperimentBuilder, and PsychoPy.
  • Programming: Equipped with a national level 2 certification in C language, with hands-on experience in algorithmic strategies.