Hee-Jun Jung

Hee-Jun Jung

Hee-Jun Jung is a Ph.D. candidate in AI at GIST, advised by Professor Kangil Kim. His research spans disentanglement learning, visual reasoning, and group theory.

Greetings

Hi, I am Hee-Jun Jung, Ph.D. candidate in Artificial Intelligence at AI Graduate School of the Gwangju Institute of Science and Techonology (GIST), advised by Professor Kangil Kim. My interests are Disentanglement Learning, Visual Reasoning, Representation Learning (symmetry) in Computer Vision, and Knowledge Distillation in Natural Launguage Processing.

News

  • [2024.11.05] CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder was accepted in Transactions on Machine Learning Research.
  • [2023.07.10] Feature Structure Distillation with Centered Kernel Alignment in BERT Transferring was accepted in Expert Systems with Applications