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About Me

I’m Zixiang (Zach) Yin, a Ph.D. Student in Computer Science at Tulane University, advised by Dr. Allan Ding since Fall 2023. I work at the intersection of Artificial Intelligence and computational neuroscience, with a focus on fMRI-based neural encoding and decoding. My research interest lies primarily in uncovering how the human visual system represents and processes information by building AI-driven models that reveal the mechanism of brain–vision functionalities.

Office: 309 Stanley Thomas Hall
Postal: 6823 St. Charles Avenue, New Orleans, LA 70118, USA
Email: zyin[at]tulane[dot]edu
Phone: (814) 852-8523

Publications

Brain-Vision

NeurIPS 2025    
Yin, Z., Li, J., & Ding, Z.
iMIND: Insightful Multi-subject Invariant Neural Decoding.
In The Thirty-ninth Annual Conference on Neural Information Processing Systems.

Immunology

ACM BCB 2025    
Li, J., Yin, Z., Ding, Z., Landry, S. J., & Mettu, R. R.
Rational Multi-Modal Transformers for TCR-pMHC Prediction.
In Proceedings of the 16th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics.
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Zach Yin

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