Donggyu Lee

Ph.D student (Advisor: Taesup Moon)

Dept. of Electrical and Computer Engineering

Sungkyunkwan University

Contact

📧 [email protected]

<aside> 🗣️

Favorite Quote: “Life is what happens when you are busy making other plans.” — John Lennon, from the song “Beautiful Boy (Darling Boy)”

</aside>

Education

• Integrated Ph.D course (2018.03 ~ Present)
  • Department of Electical and Computer Engineering, Sungkyunkwan University (SKKU)
• BS (2011.03 ~ 2018.02)
  • Department of Electronic and Electrical Engineering, Sungkyunkwan University (SKKU)

Publications

• [C4] Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
  • Donggyu Lee*, Sangwon Jung*, Taesup Moon (*Equal contribution)
  • The Twelfth International Conference on Learning Representations (ICLR), 2024
• [C3] SwiFT: Swin 4D fMRI Transformer
  • Peter Yongho Kim, Junbeom Kwon, Sunghwan Joo, Sangyoon Bae, Donggyu Lee, Yoonho Jung, Shinjae Yoo, Jiook Cha, Taesup Moon
  • Proceedings of Neural Information Processing Systems (NeurIPS), 2023
• [CW1] Issues for Continual Learning in the Presence of Dataset Bias
  • Donggyu Lee*, Sangwon Jung*, and Taesup Moon (*Equal contribution)
  • The 37th AAAI Conference on Artificial Intelligence (AAAI), 2023
    • AAAI Bridge Program on Continual Causality
• [C2] Fair Feature Distillation for Visual Recognition
  • Sangwon Jung*, Donggyu Lee*, Taeeon Park*, and Taesup Moon (*Equal contribution)
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
• [J1] Continual Learning of Micro‑Doppler Signature‑Based Human Activity Classification
  • Donggyu Lee, Hyeongmin Park, Taesup Moon, and Youngwook Kim
  • IEEE Geoscience and Remote Sensing Letters (IF=3.833), 2021
• [C1] Uncertainty-based continual learning with adaptive regularization
  • Hongjoon Ahn, Sungmin Cha, Donggyu Lee, and Taesup Moon
  • Proceedings of Neural Information Processing Systems (NeurIPS), 2019

Experience

• Teaching Assistant
  • Programming Methodology @ SNU (2021.09 ~ 2021.12)
  • Introduction to Machine Learning @ SKKU (2020.09 ~ 2020.12)
  • Convex Optimization @ SKKU (2019.09 ~ 2019.12)
  • Neural Networks @ SKKU (2019.03 ~ 2019.06)
  • Introduction to Machine Learning @ SKKU (2018.09 ~ 2018.12)
  • Advanced Machine Learning @ SKKU (2018.03 ~ 2018.06)

Honors

• Best Paper Award (Second Prize), KAIA Summer Conference 2023 Yeosu, S.Korea (2023.07)
• Brain Korea 21 Plus (BK21+) Scholarship, SKKU Suwon, S.Korea (2018 ~ 2023)