I'm Jihyeong Jung, a M.S. student of the Department of Industrial & Systems Engineering, KAIST👋
I'm really fortuned to be advised by Prof. Chanyoung Park, leading DSAIL@KAIST currently.

• Few-Shot Node Classification (FSNC) on Graph Structured data (via Meta-learning)
• Time Series Analysis (with GNN, etc.)
• Graph Neural Networks via Spectral Filter Approximation (Spectral GNN)

• Gangneung High School (2014.03 ~ 2017.02)
• KAIST (Korea Advanced Institute of Science and Technology)
  • B.S. in Mathematical Sciences (2017.02 ~ 2022.08)
• KAIST (Korea Advanced Institute of Science and Technology)
  • M.S. student in Industrial & Systems Engineering (2022.08 ~ 2024.08 (Expected))
  • Dissertation: Unsupervised Episode Generation Methodologies for Graph Meta-learning (그래프 메타러닝을 위한 비지도방식 에피소드 생성 방법론)

• KAIST Freshmen Student Council
  • Member of the 13th student council Garam (2017.03 ~ 2017.08)
  • President of the 14th student council Raon (2017.08 ~ 2018.08)
  • Advisor of the 15th student council Harang (2018.08 ~ 2019.02)
• Data Science & Artificial Intelligence Lab (DSAIL) at KAIST
  • Undergraduate Intern (2021.06 ~ 2022.08)
• Sky Labs Inc.
  • ML Engineer (2024.05. ~ Current)

I'll fill this section with really Interesting & Amazing publications related to my research areas.

• Jihyeong Jung, Sangwoo Seo, Sungwon Kim, and Chanyoung Park. Unsupervised Episode Generation for Graph Meta-learning. In the 41st International Conference on Machine Learning (ICML), 2024.
• Sangwoo Seo, Sungwon Kim, Jihyeong Jung, Yoonho Lee, and Chanyoung Park. Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck. In the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024