Bio

I am Yijin Wang (王仪瑾), a first-year PhD student at American University. I’m working in the lab of Prof. Bei Xiao, and we are investigating 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. We are interested in investigating the representation of tools under unconscious conditions using deep neural networks.
Please click here to download my CV.

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. https://doi.org/10.1167/jov.24.2.14
2.Wang, Y., Deng, Z., Zhang, R., Chen, J., Tool representation under unconscious condition – evidence from DNN. (In Prep)
3.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 Prep)
4.Gao, J., Wang, Y., Deng, Z., Li, H., Zhang, R., Zhang, Y., Zhang, X., Zhou, G., Chen, J., Learning by doing: effects of action learning on highly degraded visual stimuli. (Under review)
5.Zhang, Y., Gao, J., Deng, Z., Wang, T., Wang, C, Liu, X., Wang, Y., Chen, J., Surround suppression when preparing hand actions provides evidence of sensory planning. (In Prep)

Professional Education

PhD candidate, American University, Neuroscience
MSc, South China Normal University, Psychology
BSc, South China Normal University, Computer Science

CONTACT

Email yw1695a@american.edu
ORCID https://orcid.org/0009-0000-0567-8521
https://www.researchgate.net/profile/Yijin-Wang-16?ev=hdr_xprf
https://www.linkedin.com/in/yijin-wang-013163323/
Google Scholar https://scholar.google.com/citations?user=4IjkddYAAAAJ&hl=en&oi=ao

Collaborators

Computational Material Perception Laboratory
Action Percetion Learning Lab
Vatanak Lavan
Chenxi Liao