Portrait of Yijin Wang

Yijin Wang

PhD Candidate · Behavior, Cognition and Neuroscience

American University · Washington, DC · She/Her

About

I am Yijin Wang (王仪瑾), a second-year PhD student at American University. I work in the lab of Prof. Bei Xiao, where we investigate how the human brain perceives materials in different dimensions, using a combination of machine learning and neuroscience methods. Recently we have become interested in how humans memorize different kinds of materials.

I previously worked in the lab of Prof. Juan Chen, investigating the representation of tools under unconscious conditions using deep neural networks.

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Publications

  1. Wang, Y.*, Gao, J.*, Zhu, F., Liu, X., Wang, G., Zhang, Y., Deng, Z., & Chen, J. (2024). Internal representations of the canonical real-world distance of objects. Journal of Vision, 24(2), 14. doi:10.1167/jov.24.2.14
  2. Gao, J., Wang, Y., Deng, Z., Li, H., Zhang, R., Zhang, Y., Zhang, X., Zhou, G., & Chen, J. (2026). Learning by doing: Effects of visually-guided action learning on highly degraded visual stimuli. Cognition, 271, 106450. doi:10.1016/j.cognition.2026.106450
  3. Zhang, Y., Gao, J., Deng, Z., Wang, T., Wang, W., Wang, Y., … Chen, J. (2026). Goal-directed action planning modulates surround suppression in the visual system. The Journal of Neuroscience, 46(19), e1171252026. doi:10.1523/JNEUROSCI.1171-25.2026
  4. Wang, Y., Deng, Z., Zhang, R., & Chen, J. Tool representation under unconscious condition — evidence from DNN. In preparation
  5. Deng, Z., Wang, Y., Li, Z., Gao, J., Zhu, F., Long, J., Zhang, P., Meng, M., & Chen, J. Different representation of toolness and the elongated shape of tools revealed by continuous flash suppression and backward masking. In preparation

* Equal contribution.

Education

Contact

yw1695a@american.edu

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Collaborators