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Hoyeon Chang

Hoyeon Chang

Collaborating PhD Student
KAIST AI

Interests

  • Compositional Generalization

  • Continual Learning

  • Categorical Deep Learning

  • Mechanistic Interpretability

Education

  • M.S. in Artificial Intelligence, 2024

    Korea Advanced Institute of Science and Technology

  • B.S. in Biological Sciences and Electrical & Computer Engineering, 2022

    Seoul National University

Biography

I am a Ph.D. student at KAIST Graduate School of AI, advised by Minjoon Seo and Seongjoon Oh. My personal page is at hoyeonchang.github.io.

My research investigates the structural foundations of intelligence: specifically, how systematic compositionality and robust belief revision can be realized in connectionist networks. Currently, I am exploring the interface of category theory and the geometry of neural representations, aiming to uncover the structural constraints that govern generalization. I deeply value interdisciplinary insights and enjoy connecting ideas from philosophy, linguistics, cognitive science, and mathematics to build a comprehensive picture of intelligence.

Previously, I obtained a B.S. in Electrical & Computer Engineering and Biological Sciences from Seoul National University. Outside of research, I am a jazz pianist and occasionally play at jazz clubs in Seoul.

© Seong Joon Oh, 2024 · Partially powered by the Academic theme for Hugo.